Best Data Analytics Classes Near Me: Find In-Person & Virtual Training

Top Data Analytics Courses

Immerse yourself in the world of data analytics, a field that defines practically everything in the modern digital economy. Learn how data analytics professionals make data manageable and useful, and explore the numerous lucrative career opportunities in the field, with salaries ranging from $65,000 to over $100,000 annually.

Key Insights

Data analytics involves harnessing large volumes of data to draw valuable insights, using programming languages, statistics, and industry-specific knowledge.
Entering the field requires familiarity with programming, mathematics, and subject matter expertise. Tools like Python, Excel, Tableau, and Power BI are commonly used for data analysis.
Data analytics professionals are in high demand across various industries, making it a secure and lucrative career choice.
Salaries for data analytics professionals range from $65,000 to $80,000 a year, with many data analysts transitioning to roles like data engineers, data architects, and data scientists that can earn well over $100,000 annually.
Data analytics can be learned through different avenues, including in-person classes, virtual courses, and intensive bootcamps. Providers like Noble Desktop offer comprehensive programs and certificates in data analytics.
Aside from professional growth, learning data analytics provides a new perspective in understanding how the world works and is a valuable skill in a society increasingly dependent on technology and complex data.

Learn more below

Top Bootcamp Programs That Include Data Analytics

Learn Data Analytics as part of a comprehensive program or bootcamp. These programs teach a variety of skills including Data Analytics and are typically geared towards preparing you for a new career.

CodeClan Professional Software Development
This immersive course prepares graduates to become professional Software Developers. Students gain skills in programming with Python, JavaScript, and Java.
Locations:
- Edinburgh
- Glasgow
- Live Online
- £6,650
- 16 Weeks
- See provider
- Beginner
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CodeClan R Level 3: Interactive Data Dashboards
In this advanced R course, students train in working with interactive data dashboards. Topics covered include working with Shiny, customizing dashboards, and working with reactivity.
Locations:
- Live Online
- £400
- 2 Days
- See provider
- Advanced
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showing 2 of 2 courses

Data Analytics Topics

Excel

Excel is more than just a tool for creating databases. It can also be used to analyze data. Excel can organize data using filters, sorting, and conditional formatting. Charts, pivot tables, and other visualizations can then be created from the assembled data sets. Users can also download and install the Analysis ToolPak, which provides additional data analysis tools specifically for financial and engineering data.

Explore Excel Classes

SQL

SQL stands for Structured Query Language. Data analysts rely on the query functions of SQL to analyze massive quantities of data using relational models. SQL defines three distinct types of data, including predefined, constructed, and user-defined types. Standard SQL commands such as “Create,” “Update,” “Insert,” “Delete,” “Select,” and “Drop” can be used to do almost anything a data analyst needs to do with data. SQL powers many database management systems, such as Oracle, Access, and Microsoft SQL Server.

Explore SQL Classes

Tableau

Tableau is an interactive data visualization tool that produces cloud databases, query relational databases, online analytical processing cubes, and spreadsheets. It offers even novice users the ability to change or transform the raw set of data. Using the Tableau Desktop, data scientists can create rich, interactive data visualizations, deploy data drilling and mining tools, and provide in-depth analysis that uncovers hidden patterns. Tableau’s intuitive, drag-and-drop interface makes it easy to get started.

Explore Tableau Classes

Python Data Science

Python is a powerful, general-purpose programming language with broad applications for data analysis and the creation of data visualizations. With Python, users can create scatter plots, line plots, histograms, and other plots to visualize data and facilitate analysis. Matplotlib is Python’s most widely used 2D plotting library, used for the creation of such data visualizations. The Python programming community offers many free code blocks to make the creation of visualizations easy and intuitive.

Explore Python Data Science Classes

Power BI

Power BI is a collection of software that works together to convert multiple sources of data into usable information. Using the Power BI Desktop, the Power BI service, and the Power BI mobile apps, businesses can analyze data, create visualizations, and make sense of it all. Leaders can use these critical insights to forecast, plan, and make informed decisions.

Explore Power BI Classes

Data Science

Data science draws from multiple disciplines to understand data. Combining machine learning, data analysis, statistics and domain knowledge, data science has been referred to as the “fourth paradigm of science”. Using algorithms and other statistical methods, data scientists can uncover knowledge and insights from structured and unstructured data that might otherwise go unnoticed.

Explore Data Science Classes

Data Analytics Courses by School

Here are some of the top schools offering Data Analytics training, including ITTA (31 courses), Kebel (23 courses), and Digicomp (23 courses).

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
Noble Desktop’s Top Data Analytics Courses
- Data Analytics Certificate
  - 156 Hours
  - $4,995
  This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.
- Data Analytics Foundations
  - 12 Hours
  - $595
  In this class, you'll get an introduction to data analytics and how they are used in today's business world. You'll learn about the different kinds of analytics, algorithms, and statistics that you will need to know as a Data Analyst or Business Analyst.
- Excel for Data Analytics
  - 18 Hours
  - $595
  Excel for Data Analytics covers intermediate and advanced Excel skills that turn the application into a powerful tool for data analysis and visualization. In this course, you'll learn how to use formulas, database functions, and simple macros to sort, filter, group, and visualize data.
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
  Data Analytics is the process of manipulating and analyzing data to understand and uncover insights that can influence business decisions. Learn the essential data analytics tools including Excel, SQL, and Tableau in hands-on training.
See all Noble Desktop’s Courses
NYIM

NYC location: 185 Madison Avenue, New York, NY, 10016 US

NYIM Training offers results-oriented business courses and corporate training online and in New York. With hands-on courses and certifications in data analytics, design, programming, office productivity, and finance, its extensive offering provides flexible training solutions for professionals and businesses.
NYIM’s Top Data Analytics Courses
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
  In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.
- Excel for Business Bootcamp
  - 18 Hours
  - $549
  In this comprehensive Excel bootcamp, participants learn beginner to advanced Excel techniques, including formulas & functions, VLOOKUP, macros, and more. Students learn how to work more efficiently, summarize, and analyze data with tables, charts, and PivotTables. By the end of this hands-on course, participants will be ready to use Excel for everyday business tasks. The course has flexible scheduling options and is available live online or in NYC. Tuition includes hands-on training, a free retake, course manual, and supporting video tutorials.
- SQL Bootcamp
  - 18 Hours
  - $975
  In this 3-day bootcamp, beginners will be transformed into confident SQL users who can write queries, manipulate tables, and store advanced code. Participants will start by learning about relational databases and SQL fundamentals and will conclude the program having mastered complex retrieval tasks and storing complex code. Topics include composing queries, creating your SQL databases, automating workflow with stored procedures, and step-by-step exercises that will provide an efficient and thorough approach to mastering SQL. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.
- Tableau Bootcamp
  - 12 Hours
  - $499
  In this comprehensive 2-day course, participants can become an advanced Tableau user able to work with data to create visualizations and use the various tools Tableau Public has to offer. They will learn to identify datasets to create desired visualizations and then master the Tableau tools on a deeper level to customize their visualizations. By the end of this course, participants will have learned to create maps to represent geographical data, and build actions to control visualizations within sheets and dashboards. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.
See all NYIM’s Courses
Thinkful
Locations:
- Live Online
Thinkful aims to prepare students for the world’s fast-paced and job-competitive fields in software engineering, data science, data analytics, and design. Its course are held online, and it hosts events at its locations across the U.S. including California, Texas, Chicago, Florida, Washington, Denver, Boston, and Philadelphia.
Thinkful’s Top Data Analytics Courses
- Data Analytics Flex
  - 6 Months, 25 hr/wk
  - $4,500
  Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.
- Data Analytics Immersion
  - 4 Months, 40 hr/wk
  - $12,250
  Data Analytics Immersion is a 4-month full-time program designed to get you a job as a data analyst. You won't have to pay until you get a job making at least $40,000. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project.
- Data Science Flex
  - 6 Months, 25 hr/wk
  - $7,000
  Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.
- Data Science Immersion
  - 5 Months, 40 hr/wk
  - $18,500
  Data Science Immersive is a 5-month full-time program that will prepare you to be a data scientist. You don't have to pay anything until you receive a job that is more than $40,000. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.
See all Thinkful’s Courses
Career Centers

NYC location: 185 Madison Avenue, New York, NY, 10016 US

Career Centers offers intensive business courses and corporate training in the heart of New York City and remotely online. They offer courses in Microsoft Excel, finance & accounting, data analytics, Microsoft Office, and design.
Career Centers’s Top Data Analytics Courses
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
  In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.
- Microsoft Excel Bootcamp
  - 18 Hours
  - $549
  This 3-day Microsoft Excel Bootcamp consists of three courses and helps students with little to no prior Excel experience go from novice to pro in a couple of days. The first course, Excel for Business Fundamentals, covers the basics, including writing formulas, using absolute references, formatting, common charts and designs, as well as general workbook best practices. The second course, Intermediate Excel for Business, introduces students to more advanced topics, including advanced paste functions, working with text, VLOOKUP, PivotTables, statistical functions, and some advanced charts. The third and final course, Advanced Excel for Business, walks students through some common skills used primarily by more experienced Excel users, including cell management, nested IF statements, What If analysis, advanced analytical tools, INDEX-MATCH, and macros to help automate repetitive tasks. Each course concludes with a final project to help cement the skills students learn in each course.
- Beginner Microsoft Excel
  - 6 Hours
  - $249
  This 1-day Microsoft Excel course is intended for those who have little to no prior Excel experience looking to build foundational skills working with spreadsheets. This course covers all the basics to make students feel at ease when working with Excel. There are a number of topics covered in this course, including data entry, working with basic formulas, formatting data, an introduction to charts and tables, and workbook management. The course is punctuated by a final project to help review and solidify the major topics covered in the class.
- Intermediate Microsoft Excel
  - 6 Hours
  - $249
  This 1-day Intermediate Microsoft Excel course is designed for individuals with some prior Excel experience but who are looking to add to their Excel toolbelt and continue building their spreadsheet knowledge. There are a number of intermediate topics covered in this course, including learning helpful keyboard shortcuts, working with text, functions (statistical, LOOKUP and logic functions), working with PivotTables, and an introduction to combo charts. The course is punctuated by a final project to help review and solidify the major topics covered throughout the course.
See all Career Centers’s Courses
Juno College of Technology

Toronto location: 483 & 485 Queen St West, Toronto, ON , M5V 2A9 Canada

Juno’s instructors are all experts in their fields, as well as experienced educators. The school’s Web Development Immersive is the most popular choice of courses, followed by options in JavaScript, Data Analytics, UX Design, Full Stack, React, and Word Press with Shopify. Courses are available in-person in Toronto or live online.
Juno College of Technology’s Top Data Analytics Courses
- Data Analytics
  - 65 Hours, 40 hr/wk
  - $2,000
  Beginners welcome in this introduction to data analytics course, learning subjects such as organizing and analyzing data with Google Sheets as well as making charts and visualizations. Students also learn how to write database queries with SQL, explore Tableau, and gain an introduction to Python for data analysis.
See all Juno College of Technology’s Courses
BrainStation
Locations:
- NYC
- Toronto
- Vancouver
- Live Online
BrainStation is an intensive training provider focused on teaching digital skills and offering full-time diplomas, part-time certificates, and other forms of expertise in time frames of one to twelve weeks. BrainStation believes there are different styles of learning and therefore adopts flexible learning options like Online Live, where students can learn virtually.
BrainStation’s Top Data Analytics Courses
- Data Analytics Certificate
  - 30 Hours
  - $3,250
  This course in data analytics serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program offers online and on-campus versions, with instruction by experienced data analysts. Graduates are equipped to solve real-world data problems.
- Data Science Certificate
  - 30 Hours
  - $3,250
  This data science program uses project-based learning to teach students data analysis, modeling, and programming in Python. Using Synapse, a data-driven Learning Management System, students will learn how to clean and analyze data, create visualizations, and use the fundamental components of programming to work with Python, Pandas, and NumPy. Students can take advantage of online and on-campus options.
See all BrainStation’s Courses
TripleTen
Locations:
- Live Online
TripleTen's bootcamps are designed by a leading tech company in Europe, ensuring the latest and highest quality information. Each bootcamp includes an additional 20-hour introductory course that includes real-life business cases. TripleTen features intensive boot camps in Data Science, Data Analytics, and Web Development.
TripleTen’s Top Data Analytics Courses
- Data Analyst Program
  - 7 Months, 20 hr/wk
  - $7,900
  For those with some math background, this course is an introduction to data science and analytics basics, including some coding in Python. Additional basic operational functions are taught, and students gain experience on an interactive platform.
- Data Scientist Program
  - 9 Months, 20 hr/wk
  - $9,700
  This course presents key elements of data science, including examining structure, analyzing large volumes of data, uncovering patterns, and making predictions. Students learn Python and essential libraries, statistical hypothesis testing, machine learning, natural language processing, computer vision, and SQL.
See all TripleTen’s Courses
General Assembly
Locations:
- Atlanta
- Austin
- Boston
- Chicago
- Dallas
- Denver
- Detroit
- Houston
- Los Angeles
- Miami
- Minneapolis
- Nashville
- NYC
- Orlando
- Phoenix
- Raleigh
- Salt Lake City
- San Diego
- San Francisco
- Seattle
- Tampa
- Toronto
- Washington, D.C.
- London
- Charlotte
- Louisville
- St. Louis
- Live Online
- Melbourne
- Sydney
- Paris
- Singapore
+ 27 more
General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
General Assembly’s Top Data Analytics Courses
- Data Analytics Course
  - 40 Hours
  - $4,500
  Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting.
- Data Analytics Bootcamp
  - 7 Hours
  - $250
  This data analytics course is a 1-day bootcamp designed for individuals interested in learning the best practice of working with data and understanding the data analytics roadmap. In this hands-on bootcamp, students will learn how data can help inform decision making, understand the data analytics workflow, and gain exposure to some of the most common tools used for data analysis. Students will also learn how to ask the right questions that can be answered with data, clean and analyze data with standard spreadsheet software (Excel/Google Sheets), and use Tableau to create dynamic visuals.
- Data Analytics Immersive
  - 84 Hours
  - $16,450
  Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.
- Data Science Immersive
  - 12 Weeks
  - $16,450
  Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.
See all General Assembly’s Courses
Georgetown

Washington, D.C. location: 640 Massachusetts Ave NW, Washington, DC, 20001 US

Georgetown School of Continuing Studies offers a wide range of onsite and online academic, professional development, and international programs for students and organizations. They also provide professional certificates in business and management, education, executive leadership, financing and accounting, and marketing and communications.
Georgetown’s Top Data Analytics Courses
- Data Analytics Bootcamp
  - 12 Weeks, 4 hr/wk
  - $6,995
  In this comprehensive data analytics program, students will learn the technical and analytical skills they need to turn data into actionable insights. This 12-week program combines on-campus classes with online coursework for busy professionals looking to advance their skills outside of work hours. This course covers programming tools for data analysis and visualization, data analysis for decision-making, communication of results, statistical analysis, and more.
- Certificate in Data Science
  - 108 Hours
  - $6,760
  This data science certification course teaches students the fundamentals of data science. The programs explores data sources and storage, ingestion & wrangling, statistics, machine learning, visual analytics, and much more. The program culminates in a capstone project which serves as a professional portfolio artifact.
- Python Basics for Data Analysis
  - 12 Hours
  - $495
  This course on data analysis with Python offers a comprehensive introduction to this general-purpose programming language. The purpose of this course is to get students started using Python’s most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and MatPlotLib to calculate descriptive statistics, work with alternative data sources, and scrape web pages. The course culminates with a real-life data wrangling project.
See all Georgetown’s Courses
Clarusway
Locations:
- Live Online
Clarusway has course options for those with technical experience looking to upskill and those with no prior tech experience looking for a career change. The school’s primary IT paths are AWS/DevOps, Data Science, and Full Stack Development
Clarusway’s Top Data Analytics Courses
- Data Analytics with IT Fundamentals
  - 6 Months
  - $9,500
  This course teaches data types, data structures, and the data lifecycle. Students are taught how to derive insightful knowledge from raw data. Topics in the course include basic statistics, Python libraries, Pandas, NumPy, SciPy, and SQL. Additionally, information about data visualization with Tableau and understanding Google Sheets is included.
- Data Analytics
  - 3 Months
  - $9,500
  This course teaches data types, data structures, and the data lifecycle. Students are taught how to derive insightful knowledge from raw data. Topics in the course include basic statistics, Python libraries, Pandas, NumPy, SciPy, and SQL. Additionally, information about data visualization with Tableau and understanding Google Sheets is included.
- Data Science with IT Fundamentals
  - 9 Months
  - $10,000
  Topics students study in this class include extracting knowledge and insights from different data types using scientific methods, processes, algorithms, and systems. Additional topics include building complex quantitative algorithms, synthesizing large amounts of information and learning how to deliver measurable results to stakeholders. Upon conclusion, students will be able to store and organize data, decipher useful information, and present professional solutions.
- Data Science
  - 6 Months
  - $10,000
  Topics students study in this class include extracting knowledge and insights from different data types using scientific methods, processes, algorithms, and systems. Additional topics include building complex quantitative algorithms, synthesizing large amounts of information and learning how to deliver measurable results to stakeholders. Upon conclusion, students will be able to store and organize data, decipher useful information, and present professional solutions.
See all Clarusway’s Courses

showing 10 of 142 schools

Data Analytics
Corporate & Onsite Training

Upskill or reskill your workforce with our industry-leading corporate and onsite Data Analytics training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment Data Analytics courses.

corporate@nobledesktop.com (212) 226-4149

data-analytics corporate training at Noble Desktop

Which Data Analytics Class is Right for Me?

You have several options when it comes to learning Data Analytics, so we’ve chosen 542 of the best courses from the top 142 training providers to help you make your decision. But even so, with the variety of considerations including cost, duration, course format, starting level, and more, choosing the perfect course still isn’t that easy.

Here are the key questions you should ask yourself before enrolling in a Data Analytics course. We hope you’ll find the best option based on your learning preferences and goals.

What level should I start at?

Enrolling in the right skill level is pivotal. Skipping over prerequisites can leave you confused, while choosing a course too easy will waste your time and tuition dollars.

Beginner Courses

If you’re new to Data Analytics, there’s no need to fear. We’ve found 241 beginner courses, with costs ranging from $47 to $27,500. The top options open to beginners include:

Data Analytics Course @ General Assembly ($4,500 | 40 Hours)
In 31 locations or live online
Excel Bootcamp @ General Assembly ($250 | 4 Hours)
In 31 locations or live online
SQL Bootcamp: Learning the Language @ General Assembly ($350 | 1 Day)
In 31 locations or live online
Design Your Data: Tableau Bootcamp @ General Assembly (1 Day)
In 31 locations or live online
Data Analytics Bootcamp @ General Assembly ($250 | 7 Hours)
In 31 locations or live online

Note that beginner courses still typically assume basic proficiency with computers.

Intermediate & Advanced Courses

Already comfortable with the basics of Data Analytics and feel ready to move to an intermediate or advanced class? Consider the following courses which all require some prerequisite knowledge:

Data Science Course @ General Assembly ($4,500 | 60 Hours)
In 31 locations or live online
Prerequisite: Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics.
Data Science Immersive @ General Assembly ($16,450 | 12 Weeks)
In 31 locations or live online
Prerequisite: It is recommended that students arrive with a mathematical foundation and familiarity with Python and programming fundamentals
Excel Bootcamp: Formulas & Functions @ General Assembly (1 Day)
In 31 locations or live online
Advanced Excel Training @ General Assembly (3 Hours)
In 31 locations or live online
Intro to Advanced SQL Concepts @ General Assembly (3 Hours)
In 31 locations or live online

Which class format (in-person or live online) works best for me?

You can choose to attend Data Analytics courses in-person or live online. Additionally, some providers like Certstaffix offer live online training with the option to use a computer lab.

In-Person

If you prefer to learn Data Analytics face-to-face with your instructor, you have one hundred forty-one schools to choose from:

Noble Desktop (NYC and Live Online) offers nineteen Data Analytics courses with prices ranging from $249 to $4,995 and class duration ranging from 6 hours to 156 hours.
NYIM (NYC and Live Online) offers fifteen Data Analytics courses with prices ranging from $249 to $1,949 and class duration ranging from 6 hours to 51 hours.
Thinkful (Live Online) offers four Data Analytics courses with prices ranging from $4,500 to $18,500 and class duration ranging from 4 months to 6 months.
Career Centers (NYC and Live Online) offers fourteen Data Analytics courses with prices ranging from $249 to $1,949 and class duration ranging from 6 hours to 51 hours.
Juno College of Technology (Live Online and Toronto) offers one Data Analytics courses with prices ranging from $1,458 and class duration ranging from 65 hours.
BrainStation (4 locations) offers two Data Analytics courses with prices ranging from $3,250 and class duration ranging from 30 hours.

Please note that due to COVID-19 some providers are temporarily offering online training only. Check with each provider for the latest status on a school’s in-person reopening plans.

Live Online Training from Anywhere

Live Online training is synchronous training where participants and the instructor attend remotely. Participants learn and interact with the instructor in real-time and can ask questions and receive feedback throughout the course. Instructors can remote into students’ computers (with prior permission) to assist with class exercises and any technical issues. The courses are hands-on and interactive like in-person training.

You can attend the course from your own home or office. This option works best for those without easy access to a nearby facility, and it has become increasingly popular during COVID-19. Here are 7 of the best live online Data Analytics classes we found:

Data Science Certificate @ Noble Desktop ($3,995 | 114 Hours | beginner)
Python Data Science & Machine Learning Certificate @ Noble Desktop ($3,495 | 96 Hours | beginner)
Python for Data Science Bootcamp @ Noble Desktop ($1,495 | 30 Hours | beginner)
Python for Finance Bootcamp @ Noble Desktop ($1,295 | 18 Hours | beginner)
Python for Automation @ Noble Desktop ($425 | 6 Hours | intermediate)
SQL Bootcamp @ Noble Desktop ($975 | 18 Hours | beginner)
Python Machine Learning Bootcamp @ Noble Desktop ($1,895 | 30 Hours | intermediate)

“Remote Instructor” Training

You can attend Data Analytics courses live online and use the computer lab at Certstaffix at your option. In this “remote instructor” training, the instructor is not present in the same room as the students, but the training is still synchronous. Here are some “remote instructor” options:

Certstaffix: Computer labs at 48 locations
- SQL Querying - Basic ($990 for 2 Days)
- SQL Querying - Advanced ($495 for 1 Day)
- MySQL Workbench: Data Modeling & Development ($2,280 for 4 Days)
- Tableau Desktop: Advanced ($1,240 for 2 Days)
- Tableau Desktop: Basic ($1,240 for 2 Days)

When are Data Analytics classes available?

It’s crucial to find a course that fits your schedule. For Data Analytics training, we’ve found flexible scheduling options, including weekday, weekend, and evening courses.

Courses with multiple scheduling options include:

Excel Bootcamp: Formulas & Functions @ General Assembly (1 Day | 31 locations or live online) is available weekdays or weekends
Advanced Excel Training @ General Assembly (3 Hours | 31 locations or live online) is available weekdays or weekends
Excel Bootcamp @ General Assembly ($250 | 4 Hours | 31 locations or live online) is available weekdays or weekends
Excel for Business Bootcamp @ NYIM ($549 | 18 Hours | NYC or live online) is available weekdays, evenings, or weekends
Excel for Business Fundamentals @ NYIM ($249 | 6 Hours | NYC or live online) is available weekdays, evenings, or weekends

Courses available weekdays only include:

Excel - Level 1 @ Certstaffix ($335 | 1 Day | 47 locations or live online)
Excel - Level 2 @ Certstaffix ($335 | 1 Day | 47 locations or live online)
Excel - Level 3 @ Certstaffix ($335 | 1 Day | 47 locations or live online)
Excel - Dashboards @ Certstaffix ($335 | 1 Day | 47 locations or live online)
Excel 2019 - Part 1 @ New Horizons ($295 | 1 Day | 47 locations )

Courses available evenings only include:

Relational Database Management @ UCLA Extension ($995 | 10 Weeks | Los Angeles )
Introduction to SQL @ UCLA Extension ($995 | 6 Weeks | Los Angeles )
Online Data Science Certificate @ Data Science Dojo ($4,500 | 16 Weeks | or live online)
Data Science Part-Time @ Coding Dojo ($13,745 | 20 Weeks | or live online)
Data Science @ Tech Talent South ($3,750 | 8 Weeks | 12 locations or live online)

Courses available weekends only include:

SQL Level 2: Intermediate Emory ($725 | 13 Hours | Atlanta )
Data Science with R: Data Analysis and Visualization NYC Data Science Academy ($2,190 | 5 Weeks | NYC or live online)
Applied Data Science And Machine Learning Emory ($2,795 | 56 Hours | Atlanta )
Data Science Applied Labs theDevMasters ($5,995 | 3 Weeks | Irvine or Los Angeles )
Data Science for Business Leaders Deep Dive Coding ($499 | 16 Hours | Albuquerque )

Full-time Courses

Also note, 11 courses we’ve found require a full-time commitment. These courses are “career-changer” courses that typically span over several months and require 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. They also typically require a large financial commitment, although many provide payment plans and financing options. Full-time courses include:

Data Science Immersive @ General Assembly, spanning over 12 Weeks for $16,450
Data Science Bootcamp @ Flatiron, spanning over 3 Months for $16,900
Data Science Bootcamp @ NYC Data Science Academy, spanning over 12 Weeks for $17,600
Data Science Bootcamp - Online @ NYC Data Science Academy, spanning over 16 Weeks for $17,600
Remote Data Analytics Bootcamp (Full-time) @ Ironhack, spanning over 9 Weeks for $7,500

Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.

What should I learn in Data Analytics?

With Data Analytics encompassing so many verticals and subtopics, it could be challenging to find what you’re looking for. We’ll help you break down the subcategories and related topics (see the Data Analytics topics section) to focus directly on one of the subcategories.

When learning Data Analytics, you can attend a course or program that dives comprehensively into Data Analytics, provides a brief introduction into Data Analytics, or focuses on a particular topic, including Excel, SQL, or Tableau.

Comprehensive Data Analytics Classes

If you’re committed to learning Data Analytics comprehensively, we’ve found several courses that can help you achieve that goal.

Data Analytics Course @ General Assembly
This course takes place over 40 Hours and is available weekdays or evenings.
Data Analytics Certificate @ BrainStation
This course takes place over 30 Hours, has job support services, and is available weekdays, evenings, or weekends.
Data Analytics Technologies Bootcamp @ NYIM
This course takes place over 51 Hours and is available weekdays.
Data Analytics Technologies Bootcamp @ Noble Desktop
This course takes place over 51 Hours and is available weekdays, evenings, or weekends.
Data Analytics Bootcamp @ Georgetown
This course takes place over 12 Weeks, has job support services, and is available weekends.
Business Intelligence @ Emory
This course takes place over 56 Hours and is available weekends.
Big Data & Data Analytics @ Emory
This course takes place over 80 Hours and is available weekends.
Data Analytics Technologies Bootcamp @ Career Centers
This course takes place over 51 Hours and is available weekdays.
Data Analytics Immersive @ General Assembly
This course takes place over 84 Hours and is available weekdays or evenings.

Introductory Data Analytics Classes

There’s a lot to learn within Data Analytics, and if you’re trying to get a broad overview, a sense for the industry and job prospects, and the types of things you would learn in a Data Analytics course, these introductory courses are a good place to start.

Data Analytics Bootcamp @ General Assembly
This course takes place over 7 Hours and is available weekdays or weekends.

Focus on a Specific Subtopic within Data Analytics

Within Data Analytics, you can focus your learning on a specific topic, including Excel, SQL, Tableau, Python Data Science, and Power BI. Each one of these topics will directly enhance, supplement, or support your learning in Data Analytics. To see how each topic relates to Data Analytics and to focus your learning on any subcategory, see the subtopics section above.

For a quick overview, here are some popular classes:

Learn Excel with Excel Bootcamp: Formulas & Functions @ General Assembly.
is available in 31 locations or live online.
Learn SQL with SQL Bootcamp: Learning the Language @ General Assembly.
The course costs $350 and is available in 31 locations or live online.
Learn Tableau with Design Your Data: Tableau Bootcamp @ General Assembly.
is available in 31 locations or live online.
Learn Python Data Science with Python for Data Science Immersive @ Practical Programming.
The course costs $1,495 and is available in Chicago, NYC or live online.
Learn Power BI with Power BI Bootcamp @ NYIM.
The course costs $599 and is available in NYC or live online.
Learn Data Science with Data Science Course @ General Assembly.
The course costs $4,500 and is available in 31 locations or live online.

What type of learner am I?

When learning Data Analytics, there are a variety of learning goals you can achieve, including learning Data Analytics comprehensively, gaining a broad introduction to Data Analytics, getting started, adding to existing skills, obtaining an official certification from Microsoft, or embarking on a new career path.

To find the perfect fit for you, it’s important to determine what your training goals are. Here is a breakdown of the variety of courses and learners.

Comprehensive Learner

For those who are committed to comprehensively understand Data Analytics and ready to spend 12 hours to 12 weeks to master Data Analytics, these classes will help achieve that goal. With prices ranging from $499 to $16,450, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.

Excel Bootcamp @ Noble Desktop ($549 | 18 Hours) available in NYC or live online
Microsoft Excel 501 - Microsoft Excel Bootcamp Training Course @ Ledet ($999 | 3 Days) available in 13 locations or live online
Excel Bundle @ Learnit ($870 | 3 Days) available in San Francisco
SQL Bootcamp @ Practical Programming ($975 | 18 Hours) available in NYC, Chicago or live online
SQL Bootcamp @ NYIM ($975 | 18 Hours) available in NYC or live online
SQL Bootcamp @ Noble Desktop ($975 | 18 Hours) available in NYC or live online

Explorer

Learning Data Analytics comprehensively can be a large financial and time commitment. If you’re not committed quite yet, or just want to learn about the field or subject, these courses can give you a high-level overview to help inform larger decisions. Note that most of these courses tend to be broader and less hands-on.

Data Analytics Bootcamp @ General Assembly ($250 | 7 Hours) available in 31 locations or live online
Data Science Bootcamp @ General Assembly ($250 | 7 Hours) available in 31 locations or live online
Excel introductory course @ Kebel ($420 | 1 Day) available in 17 locations or live online
Practical Data Science with Amazon SageMaker – Intensive Training («AWSB03») @ Digicomp ($900 | 1 Day) available in or live online
Excel: Tables and Charts @ City Lit ($39 | 3 Hours) available in London or live online

Committed to Getting Started

If you know you need to get started in Data Analytics but you’re not quite committed to learning it comprehensively, these courses will get you started with hands-on skills you can use right away. Many schools offer the ability to continue learning with intermediate-to-advanced courses, and some offer package discounts. All these courses are open to beginners.

SQL Bootcamp: Learning the Language @ General Assembly ($350 | 1 Day) available in 31 locations or live online
Design Your Data: Tableau Bootcamp @ General Assembly (1 Day) available in 31 locations or live online
Data Science with Python: Data Analysis and Visualization @ NYC Data Science Academy ($1,590 | 5 Weeks) available in NYC or live online
Data Science with R: Data Analysis and Visualization @ NYC Data Science Academy ($2,190 | 5 Weeks) available in NYC or live online
SQL Querying - Basic @ Certstaffix ($990 | 2 Days) available live online with computer lab access in 48 locations
Tableau Desktop: Basic @ Certstaffix ($1,240 | 2 Days) available live online with computer lab access in 48 locations

Skill-Advancer

For those with some familiarity with Data Analytics looking to advance or add to their skills, these courses provide those with experience the perfect opportunity to skill-up. All these courses require prerequisite knowledge, and we’ve included a brief note for many of them, but you should check with the school for more details on the entry requirements.

Excel Bootcamp: Formulas & Functions @ General Assembly (1 Day) available in 31 locations or live online
Advanced Excel Training @ General Assembly (3 Hours) available in 31 locations or live online
Excel Bootcamp @ General Assembly ($250 | 4 Hours) available in 31 locations or live online
Intro to Advanced SQL Concepts @ General Assembly (3 Hours) available in 31 locations or live online
Python for Automation @ Practical Programming ($425 | 6 Hours) available in NYC, Chicago or live online
Big Data with Amazon Cloud, Hadoop/Spark and Docker @ NYC Data Science Academy ($2,990 | 6 Weeks) available in NYC or live online
Prereq note: Students should have a basic understanding of Linux commands such as ls, cp, and cd, and understand how to work the Linux command-line interface. They should also have a basic understanding of the Python programming language.

Resume & Skill Builder

With Data Analytics, you have the opportunity to attend a course that teaches you both the skills to master Data Analytics and provide you with an official certification from Microsoft to showcase your knowledge and build your resume. These courses all prepare attendees for a certification. Some include the exam itself (and perhaps proctoring too), but most do not. Check directly with the school to see what exactly is included with your tuition.

Excel Specialist Certification Program @ NYIM ($899 | 19 Hours) available in NYC or live online
Excel Expert Certification Program @ NYIM ($1,099 | 21 Hours) available in NYC or live online
Excel Specialist Certification Program @ Career Centers ($899 | 19 Hours) available in NYC or live online
Excel Expert Certification Program @ Career Centers ($1,099 | 21 Hours) available in NYC or live online
Microsoft Excel 2016 Core MOS @ Think BIG. Learn Smart (2 Days) available in Baltimore
Preparation for the MOS Excel Core certification @ ITTA ($1,300 | 2 Days) available in Geneva, Lausanne or live online

Career Changer

You’re not only committed to learning Data Analytics comprehensively, but you’re hoping and ready to break into a new career. While securing a new career is not guaranteed, these courses provide in-depth training in Data Analytics. Many offer job support and some offer a money-back guarantee. Job support typically includes resume writing, help with job applications, portfolio building, and career counseling, but the services vary by provider.

Applications are typically required and many also require remote prework to build essential concepts before the more intensive “live” training. And due to the steep prices (some courses as high as $60,229) many programs provide financing options. See financing notes below but always be sure to confirm with the school and read the terms and conditions. Not all applicants are admitted and approved for financing.

Here are several “career-changer” programs. All the programs include career services (see the provider’s website for details on what is included).

Deluxe Data Analytics Track @ Skillspire ($4,999 | 12 Weeks) available in Seattle or live online
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
Database Administrator Path @ FLAG ($2,950 | 184 Hours) available in Lisbon, Porto or live online
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions).
Data Science Immersive @ General Assembly ($16,450 | 12 Weeks) available in 31 locations or live online
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions). Financing is also available: Apply for a student loan through Meritize or Climb, or divide tuition into installments. Income sharing agreements are available. Diversity and military tuition discounts are offered.
Data Science Bootcamp @ Flatiron ($16,900 | 3 Months) available in 6 locations
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions). Financing is also available: Financing options (with interest) offered through Skills Fund and Climb for those who qualify.
Online Data Science @ Flatiron ($15,000 | 5 Months) available in or live online
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions). Financing is also available: Financing options (with interest) offered through Skills Fund and Climb for those who qualify.
Data Science Bootcamp @ NYC Data Science Academy ($17,600 | 12 Weeks) available in NYC
The course provides job support and comes with a money-back guarantee (see the school’s website for terms and conditions). Financing is also available: Full financing available. Tuition paid for part-time courses can be applied to a data science bootcamp if enrolled within 9 months.

Will learning Data Analytics help me get a job?

Data Analytics is an in-demand skill that is essential for a variety of career paths. Here are some popular positions listing Data Analytics as a skill and the average salaries in the United States according to Indeed as of September 2023.

Business Analyst: $85K annual salary
Digital Analyst: $85K annual salary
Data Analyst: $76K annual salary

See the careers section for more information about the top related careers and the salaries by location, and visit the career pages for detail on skill requirements, day-to-day work, compensation, tips, and more.

How much does Data Analytics training cost?

Pricing for Data Analytics training varies by school, duration, method of delivery, and several other factors.

For group classes, in-person training in ranges from $5/hour to $312/hour, and live online training ranges from $5/hour to $217/hr.

See the Data Analytics pricing analysis section to compare course fees.

For Data Analytics corporate and on-site training, contact us at (212) 226-4149 or corporate@nobledesktop.com to receive a quote and free consultation. We can customize the curriculum to meet the needs of your team.

Learn Data Analytics for a New Career

Data analytics uses analysis techniques to infer insights from raw data. Algorithms and machine learning have optimized data analysis over time to find trends and answer questions more efficiently. Americans use over 4 million gigabytes of internet per day, that produces massive amounts of data which powers a variety of careers in four specific sectors: data science, business, finance, and marketing. Learning data analytics can open doors for you in any of these fields.

Data Analytics is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.

Digital Analyst

Indeed.com Avg. Salary

$85K / year
indeed.com

Glassdoor Avg. Salary

$78K / year
glassdoor.com

Digital analysts work with a marketing team to analyze the effectiveness and reach of digital marketing campaigns. They use Google analytics and site tagging tools to harvest user data. This data is analyzed and interpreted to provide insights into how to improve the user experience and the effectiveness of the digital marketing campaign.
Learn about becoming a Digital Analyst
Data Analyst

Indeed.com Avg. Salary

$76K / year
indeed.com

Glassdoor Avg. Salary

$80K / year
glassdoor.com

Data analysts review large amounts of data to summarize, analyze, and visualize it and provide insights. Working from data from multiple, relevant sources, they create and maintain databases, and use statistical techniques to analyze the collected data. Data analysts must be able to communicate with others about what the data shows and to be able to provide realistic recommendations based on their analysis. Many industries such as healthcare, advertising, and retail rely on the work of data analysts to inform their business decisions and strategy.
Learn about becoming a Data Analyst
Business Analyst

Indeed.com Avg. Salary

$85K / year
indeed.com

Glassdoor Avg. Salary

$94K / year
glassdoor.com

Business analysts use business, technology, and project management skills to analyze business problems and propose data-driven solutions. Grounded in technical expertise, business analysts perform risk analyses, manage project plans, and translate technical information such as diagrams and blueprints. Experienced business analysts can become business or project managers, which puts their professional expertise to work with the management of project deliverables and other people. Business analysts can put their skills to work across a variety of industries, companies, and job functions.
Learn about becoming a Business Analyst

showing 3 of 3 career paths

Learn more about how learning Data Analytics can help with your career options

Learn More About Data Analytics Training

Data analytics is the process of analyzing raw data in order to draw conclusions. Data analytics are used to study all kinds of data, including productivity, production, profit/loss and much more.

What is Data Analytics?

Now more than ever, companies of all sizes can harness the power of data to guide their work. Data defines practically everything in the modern digital economy, from a user’s behavior on a site or social media platform to complicated macroeconomic trends. However, actually harnessing this data and drawing useful conclusions from it is much more complicated than it seems. In fact, without the field of study known as data analytics, making sense of the data that defines our world would be practically impossible. Many fields and industries generate so much data in any given day that human beings would be simply incapable of processing it all without the aid of a computer. For example, on an average day, the NASDAQ sees about 30,000,000 stocks exchanged. If you want to make sense of that volume of information, you’ll need specialized data analytics skills, or you’ll need to hire someone who has specialized data analytics skills.

Data analytics professionals are at the helm of organizations, making data manageable and useful. Combining knowledge in programming with statistics expertise and industry-specific knowledge, data analytics professionals help create the tools and processes for drawing valuable conclusions from immense datasets, often ones that are so large human beings wouldn’t be able to process all of the information. Since companies in every industry rely on such tools, professionals across the economy can learn new skills to specialize in data analytics. Even better is that data analytics expertise rests on fundamental programming languages, making the field easy to get into and fulfilling to master.

Why Learn Data Analytics?

Fortunately, getting into data analytics is easier than you may think. You’ll have to be familiar with three fields: programming, mathematics, and subject matter expertise. Let’s start with programming. You can start with a programming language like Python or R and gain the foundational skills needed to understand and clean data. Python makes wrangling, visualizing, and processing data a breeze. If you’re not working with massive datasets, you can use Excel to clean and visualize your data. Powerful data visualization tools like Tableau and Power BI can also help you present your findings to non-technical clients. Knowing how to use data analysis tools like Excel, Tableau, and Power BI can make your journey to becoming an Analyst much easier and give you a range of capabilities to draw meaningful insights.

Next, you’ll have to learn the basics of probability and statistics to ensure the results you are seeing are statistically significant. As a Data Analyst, you’ll most likely compare performance metrics and work with percentages. Finally, if you are a subject matter expert (SME) in a specific industry, you probably already have the domain knowledge needed to succeed. If not, it’s okay. Once you start working, you’ll develop the knowledge and gain the business acumen related to your particular industry. Business understanding is important because it helps provide context to your data and improve your data visualization and storytelling capabilities. As an Analyst, you’ll have to craft SQL queries to collect data for analysis. There might be times when your query could be off, but without business knowledge, you might not be able to catch mistakes. It is important to remember that raw data usually creates more questions than answers. Your job as an Analyst is to interpret the heaps of data to find hidden insights and ensure you receive quality data. It is an exciting time to work with data, and it will help you develop and hone skills in graph theory, applied statistics, data visualization, and linear and numerical analysis.

How Does Learning Data Analytics Differ from Data Science?

As businesses continue to see the importance of and value in big data, they seek to leverage it to gain further actionable insights. Fields like data analytics and data science play an essential role in helping organizations get the most out of the information they collect. While data analytics and data science are interconnected disciplines, they differ in significant ways in terms of the approaches they employ and the results they produce. If you are tasked with studying your organization’s data, it’s essential to know the difference between these two disciplines and the role each can play to bring value to the table.

Data science is a broad field that focuses on locating patterns and connections in large sets of structured or unstructured data that offer valuable insights. The driving force in the data science process is to find answers to questions we may not even know we don’t know. To do so, Data Scientists incorporate tools like predictive modeling, machine learning, computer science, advanced data modeling, and data visualization when exploring huge datasets so they can find solutions to a range of problems that may not even have been conceived of yet.

Data science plays a role for businesses of all types and sizes, from small tech startups to Fortune 50 companies.

On the other hand, data analytics is involved with the process of performing statistical analyses on existing sets of data. Data Analysts design methods that can be used to gather, process, and organize data to spot patterns or insights into current problems. They also concoct ways to present their data findings in a way that’s accessible and engaging to audience members, some of whom do not come from technical backgrounds. Data analysis focuses on finding answers to problems that a company or organization is currency facing or may anticipate encountering in the future. It strives to produce results that can yield immediate improvements in operations, reduce costs, or lead to better efficiency throughout the organization. Data analysis typically falls into four branches. Descriptive analysis strives to answer the question, “What happened?” Diagnostic analysis is more concerned with the “why” something occurred. Predictive analysis looks toward the future to provide answers into what may transpire then. Prescriptive analysis draws from the insights gathered in the other three forms of data analysis and uses them to provide recommendations on what should be done about these concerns.

Data Analytics Careers

As a field, data analytics is in extremely high demand today, particularly due to its applicability to data processing in any industry. As a result, professionals in the field can rest assured that their skills will remain in high demand across the country for the foreseeable future. Innovators in virtually every industry are realizing they can gain a significant competitive advantage over the rest of their field by hiring and retaining data analytic specialists to build models unique to their line of work. Whether you are working in marketing, investment banking, healthcare, entertainment, or advocacy (among hundreds of other examples), some aspect of your industry is likely reliant on data analytics to assist with making difficult or complex decisions.

Nationwide, the demand for data analysts manifests in a number of different data analytics-related job opportunities. For example, some data analytics professionals choose to specialize in advising businesses on their operations, which can pay anywhere from $70,000 to $80,000 per year. Other options include working as a Marketing Analyst, which focuses on using data to streamline marketing campaigns or working in a more data science-adjacent role. These positions tend to pay similarly well across the country, ranging from $65,000 to $80,000 a year on average.

Data analytics is an exciting, high-demand career field with excellent growth potential. Millions of new analyst positions are predicted for the foreseeable future, and Analysts can find themselves working in diverse fields such as healthcare, finance, education, agriculture, government, and entertainment. The Bureau of Labor Statistics reports that data-related careers are expected to grow over 35% year over year in the next decade, which is over 700% higher than the national average. Since almost all industries use data, it is common to see subject matter experts study data analytics to transition as Analysts working in their field laterally. Learning how to conduct data analytics can only help you navigate a world increasingly becoming more data-driven. It is more evident now than ever that people must learn how to comprehend and interpret data to stay competitive in the twenty-first century.

As a Data Analyst, your day-to-day work can be quite exciting. You will receive requests from different teams to support decision-makers through ad-hoc analyses, create data visualization dashboards, and write queries to wrangle data. Data Analysts are also responsible for providing feedback to data science teams on how their models perform and empowering non-technical teams with useful dashboards. Data Analysts could be considered the ears and eyes for data-driven organizations and recommend the best business decisions based on descriptive and diagnostic data.

Data analytics provides a whole new perspective in understanding how the world works. Besides the ability to think and perceive differently, it also offers the chance to transition within your career laterally. Many Data Analysts become Data Engineers, Data Architects, and Data Scientists. They can enjoy annual salaries well over $100,000. Some Data Analysts become freelance consultants and get to work for themselves, and some even get into education to train the next generation of data professionals. This field will continue to grow as society becomes more technologically dependent and the complexity of data increases.

How to Start a Data Analytics Career

If you’re looking to launch a career in data analytics, there are many ways to do so. Although there’s no one “right” path, there are a few useful steps you may wish to consider to ensure you’re on track to acquiring the necessary skills and training.

First, you will need to study data analytics. Some opt to pursue a bachelor’s degree from a four-year college or university in data analytics or a closely related field. Since not all colleges offer data analytics degrees, you may instead opt to major in statistics, computer science, or math. In addition to acquiring a bachelor’s degree, some learners opt to continue with their data analytics studies into graduate school to obtain a more specialized skill set. Most master’s programs take approximately 12-15 months to complete and afford students a more focused course of study, one in which they can choose an area of focus in line with their professional goals. For example, some institutions allow students to focus on financial analytics or cybersecurity, and others offer training with specific tools like SQL, Tableau, or R. Another way to acquire hands-on training in data analytics for a career is to pursue a certificate study. These programs are much shorter and can usually be completed in just a few weeks or months. They provide focused, rigorous training in one or more aspects of data analytics, such as data visualization, Python programming, and Excel.

While education is a good start to launching a career in data analytics, it’s not usually enough for most employers. In order to be a competitive candidate, you’ll also need to demonstrate real-world experience working with data in various industries, such as finance, government, or business. Showing employers that you have a firm grasp of data analytics’s role in an organization’s existing structure indicates that your knowledge extends beyond hypothetical data situations. It also lets them know you’re able to work under pressure.

Technical and creative training are also essential to pursuing a data analytics career. Employers look for candidates who can bring a level of expertise to their organization. If you can demonstrate that you already know computer programming languages like Python and SQL, that you know how to prepare and clean data, perform statistical analysis on it, and work with tools like Tableau and Excel to visualize data findings, you are likely to gain the attention of job recruiters. Additionally, creative skills like knowing how to tell data-driven stories can also help distinguish you from other applicants. So, too, can a strong portfolio. Professional data analytics portfolios showcase your skills and best work. They help employers know that you can gather reliable data from different sources and transform this information into accessible data visualizations.

Skills to Learn Alongside Data Analytics

To succeed in the field of data analytics, it’s essential to have a range of hard and soft skills. Data Analysts must be clear communicators so they can convey complex data findings in a manner that can be understood by audiences at all levels of technical ability, including internal decision-makers, members of other teams at the organization, and clients. This not only requires a flare for creativity but also an eye for detail to create stunning data visualizations. Communication skills are also vital to being a successful Data Analyst. These professionals must be skilled at verbal and written communication since they will often be asked to write and present data reports. Storytelling skills also come in handy in data analytics because at the heart of any powerful data visualization is a story that tells the information being depicted visually. Additionally, Data Analysts often work with others within their organization, which means they must be able to collaborate as well. Critical thinking, time management, and innate curiosity are also useful skills for data professionals.

In addition to possessing soft skills, Data Analysts must also have a working knowledge of relational databases and how to communicate with them using SQL to retrieve data. Statistical programming languages such as R and Python also are essential for cleaning, analyzing, and visualizing data. Since both are open-source, they are available for free. A background in machine learning can also be handy to learn alongside data analytics. It’s a branch of artificial intelligence in which you create algorithms designed to spot patterns in big data. Over time, these patterns become “smarter” and can then make more accurate predictions. Knowledge of Microsoft Excel spreadsheets is also useful since this app not only organizes data but can perform analysis and visualize the results.

Most Data Analysts draw from a strong mathematical background, which can be acquired before or during the study of data analysis. Statistical training ensures these professionals are able to gather, analyze, interpret, and share data findings. Additionally, probability comes in handy when working with data because it can help ensure the data results you produce are trustworthy and as accurate as possible. One of the most closely related skills to data analysis is data visualization, which is often acquired simultaneously. Analysts work regularly to create a range of visual depictions of data findings, such as graphs, maps, and charts. Some are basic and can be generated in Excel, whereas others are intricate and require extensive training in Tableau or other visualization software that is capable of generating data models, visualizations, dashboards, and business intelligence reports.

Is it Difficult to Learn Data Analytics?

Acquiring any new skill is a subjective process that largely depends on your previous experience and education. Data analytics is no different. The level of difficulty you may experience while learning to analyze data depends on your educational and professional background. If you have training working with Excel spreadsheets, coding languages like SQL and Python, or any prior training with databases and data visualization, learning data analysis may come much easier for you than if you lack one or all of these skills.

If you don’t come from a technical background or lack experience working with programming languages or data visualization software, there are a few steps you can take to acquire the skills you need more easily. Learning the ins and outs of the data analytics process is an excellent place to begin your journey. The first step is to formulate a question you will try to answer when working with the data. The clearer and more articulated this question is, the more useful it will be throughout the process. Next, you must locate the data you want to use. This involves choosing that which is most useful for your organization. Often, data comes from data warehouses, where information from multiple sources is stored in a central location. A detailed list of data assets kept in repositories is useful to streamline this part of the process. Next, you’ll want to work to understand the data you’ve accessed. Automated analytic features are useful for speeding up this process while maintaining accuracy.

After the data has been collected, it will likely be messy and has to be cleaned up. Preprocessing data is an involved process that entails deleting any outliers and encoding variables. Even though this part of the data analytics process takes a substantial amount of time, it’s vital because it ensures any models that are created based on data drawn from high-quality information are clean. AI and machine learning techniques like augmented analysis can be useful for assisting with data pre-processing.

Once you’ve gathered and cleaned the data, it’s time to apply various techniques and tools that can help you answer your initial question. The tools you select will likely depend on the question you pose and may involve statistical analysis, Python, Excel, or predictive analysis. The results you come up with at this stage will then need to be communicated with others. Some Analysts opt to visualize data using programs like Tableau, which help you communicate any essential findings that were uncovered during the analytics process. The visual representation you create can then be shared with any relevant stakeholders, either internal or external to your organization.

Ultimately, the best way to acquire data analytics training and master the entire process, from forming a question to presenting data results, is to enroll in a hands-on course.

How Long Does it Take to Learn Data Analytics?

Because the data analytics process requires knowing several related fields, it’s an involved process that can take time. You must be familiar with computer programming, spreadsheets, statistics, and data visualization skills. If you’re interested in acquiring basic proficiency in basic data analytics tools and concepts, most learners can do so in about three months. However, this estimate can vary based on several key factors.

One important determinant of how long it will take you to learn data analytics is the method of learning you select. In-person and live online coursework can provide learners with hands-on training in just a few weeks or months, which can be applied professionally. Bootcamps and certificate programs typically cover a range of data analytics tools and skills, such as SQL, Tableau, Excel, Python, and machine learning. Other learning options may take longer. Some students may opt to enroll in skills classes in a particular data analytics tool, which span several days and teach one aspect of the data analytics process, such as working with Excel spreadsheets. Learners who opt to learn this way may need to parse together several courses to gain a baseline understanding of data analytics. Although the speed at which you learn data analytics will depend on the skills you already know, such as whether you have a strong mathematical background or prior experience querying databases, this skill set takes time and practice to fully master. Some estimate that it may take learners three to four years to truly master the data analytics process.

Learn Data Analytics

In-Person Data Analytics Classes

Since data analytics is such a popular profession today, many different ways to learn the field’s basics and start a career foundation have appeared in recent years. However, the sheer variety available to learners can be dizzying at times, from in-person classes to virtual courses. To help students choose the best program for them, Noble Desktop has created a tool to search and compare data analytics classes near where they live and in the live online format.

Some learners prefer the traditional classroom environment of an in-person course. They may find that the dedicated classroom experience helps them focus or benefit from learning alongside a cohort of like-minded students. The presence of a live instructor can go a long way to ensure that participants meet their learning goals, particularly if they run into problems and need assistance or feedback. These courses tend to be taught primarily in major cities, meaning that students may need to commute a decent distance to attend an in-person course, if they can attend one at all.

Nationally, some of the biggest course providers include General Assembly and New Horizons, both of which offer data science-related courses for learners at various levels. For example, New Horizons’ data science training largely focuses on Microsoft Excel, a critical program that Data Analysts often use to sort data. At the same time, General Assembly hosts both introductory and advanced data analytics classes for learners.

Virtual Data Analytics Classes

While in-person classes may be great for some students, they can be limiting for those looking to fit data analytics training into a busy schedule. Virtual courses offer unique benefits for these learners and are definitely worth considering. In addition to offering the same high-quality instruction that students typically expect from an in-person class, virtual courses allow learners to finish lessons from the comfort of their home or office. As a result, these classes are perfect for those wishing for a flexible and high-quality educational experience. Students still have access to a live instructor who can help them and provide feedback. Class sizes are small, ensuring that participants aren’t struggling to get their instructor’s attention. These courses tend to require students to provide their own hardware and software, though many service providers do offer set-up assistance for those who are new to online learning.

As a leading online and in-person tech education provider for over three decades, Noble Desktop is proud to offer virtual data analytics classes suitable to learners of all time commitment levels. The highlight of these programs is the intensive classes offered by Noble Desktop, which include the Data Analytics Certificate, a comprehensive, career-focused training program designed to prepare novices for entry into the world of professional data analytics. In this program, students earn industry-standard tools and programming languages, including Excel, Tableau, SQL and Python. Participants learn these tools and languages to organize databases, query datasets, and produce stunning visualizations from the queried data. This provides an opportunity for students to work with real-world datasets and practical, hands-on exercises to ensure that they’re comfortable with the applicability of their data science skills. Students also benefit from professional development services, including one-on-one career mentorship, designed to help assist with the stressful process of entering the job market. This course was created with new students looking to change careers in mind, so it is an immersive class that covers a lot of material.

Those who want more targeted instruction, either because they already have a baseline knowledge of data analytics or because they’re looking to learn a specific skill to help them at their current job, should consider some of the shorter course offerings available through Noble. These include an Excel for Data Analytics course, which introduces students to the fundamentals of using Microsoft Excel to build searchable, manageable databases that will be utilized in more advanced data analysis projects. This class is a great entry point to data analysis for students with some Excel experience. More advanced learners may consider enrolling in the Python for Machine Learning course. In this class, students explore the basics of using Python to build computer programs that can read, interpret, and “learn” from datasets without the aid of a human operator. This is a newly developing field of computer science. Still, it is invaluable to Analysts, particularly those in sectors like finance and investment, who need to make incredibly time-sensitive decisions based on massive amounts of data. These courses allow students to learn specific skills that they feel will be most helpful for their unique situation, whether that means slowly learning introductory skills or picking up specific advanced training.

Flatiron School offers an immersive Data Science Bootcamp that aims to teach students fundamental data analysis principles, tools, and techniques. This course covers how to model data and build programs that use databases to forecast data trends, and work with tools for visualizing these trends and data points to help invested stakeholders make informed decisions. This bootcamp prepares students for jobs in the fields of data science and data analytics, making it an ideal course for students looking to build in-demand skills that will pay dividends in the long term. Class is available as a full-time or part-time training program, giving students added flexibility in their training. Regardless of which version a student chooses to enroll in, they receive professional career development and mentorship training.

NYC Data Science Academy is a focused data science and analytics training center that offers a wide array of different course offerings for students looking to learn the ins and outs of the field. These classes include an Introductory Python programming course for students who have minimal experience working with computer programming languages. The content covered teaches participants the important foundational coding skills needed to really dive into complex data analytics problems. NYC Data Science Academy also offers advanced training options in more complex data analytic tools, such as its Data Science with Python: Machine Learning course, which provides an overview of the process of automating data analytics work using Python-programmed machine learning applications. Students will receive practical instruction on building and training a machine learning model and learn how to judiciously use the programs in their daily business lives.

Interested learners who are looking for more information on the in-person or live online data analytics training programs available in their area should also consult Noble Desktop’s Classes Near Me.

Noble Desktop’s affiliate companies also provide data analytics training. For instance, NYIM’s data analytics classes include an SQL bootcamp, which teaches learners the programming skills needed to manage large databases. Meanwhile, Career Centers’ data analytics classes cover programs including Excel and SPSS and many other vital skills that data professionals need to succeed.

Learning data analytics isn’t just for career professionals. High school students interested in the field can hone their skills through NextGen Bootcamp’s summer virtual data analytics classes for high schoolers.

Data Analytics Bootcamps

There are many different ways to study data analytics today, but only a few learning journeys provide students with the job skills they need to jump-start a career. These courses are commonly referred to as data analytics bootcamps and offer dozens to hundreds of hours of intensive data analytics training. While the time commitment needed to succeed in these courses is quite high, the payoff is especially worth it. In some cases, graduating from a bootcamp can even replace an equivalent college degree on a job seeker’s resume.

Learners interested in mastering their skills through a data analytics bootcamp have in-person and online varieties to choose from in many cities. For example, Noble Desktop’s Python for Data Science Bootcamp takes place over 30 hours to complete and covers everything from cleaning and combining data to generating valuable conclusions from a cleaned data set. Other options include Thinkful’s four-month Data Analytics Immersion program, designed to help foster job skills in an intensive learning environment.

Self-Paced Data Analytics Classes

If you’re a self-motivated learner looking for virtual data analytics course options, you may want to explore self-paced classes. Unlike in-person and live online coursework, which an instructor teaches in real time, self-paced classes are pre-recorded and placed online. You can access these classes at any time and from any location with a strong internet connection. On-demand data analytics classes are a flexible learning option if you have a busy work schedule or have other commitments such as family engagements or travel. Since all content was recorded earlier, you can opt to schedule your data analytics study for half an hour a day during your lunch break at work, over a long weekend, or for an hour at night three times a week. Not only do you get to decide when to study, but you also have control over lesson pacing. Whereas live training involves an instructor setting instruction pace, with on-demand material, you are in charge of how quickly you learn data analytics. This may mean breezing through a unit on Microsoft Excel if you already know how to create data visualizations using this app. It also may entail pausing, rewinding, or rewatching entire lessons to master more complex material, such as working with machine learning.

Another benefit of on-demand data analytics courses is that they are widely available and largely affordable. Many top educators around the country offer coursework that covers core data analytics tools, skills, and programs. Udemy’s Complete Data Analytics Bootcamp, for example, offers over 20 hours of on-demand video content, 200-plus coding exercises, 16 articles, and more than 140 downloadable resources designed to help students learn a range of data analytics skills. This self-paced program teaches data types, preprocessing, data collection, Python, Pandas, NumPy, and data visualization. It is available for $130. Free content is also available from providers like FreeCodeCamp, which offers Data Analysis with Python. Students who enroll in this class have access to hundreds of online tutorials in addition to their coursework. Those enrolled explore the entire data analysis process, from reading and processing data through using Python libraries like Pandas and NumPy, as well as visualizing it with Matplotlib. If you’re simply looking for a beginner-friendly tutorial to explore data science basics, you can opt for Noble Desktop’s eighty-minute Get Started in Data Science YouTube video that provides an overview of the tools and skills Data Scientists use on a daily basis.

While on-demand data analytics training is a flexible and affordable way to acquire this skill set, it’s important to keep in mind that you won’t have access to an instructor or community of learners if you opt to learn this way. This can make it challenging for some students to ask questions or receive guidance on complex material. For this reason, some learners opt to begin their data analytics learning path with on-demand content. However, once they wish to learn more advanced skills for a work project or even to explore another career path, they may wish to enroll in a more rigorous and structured program, such as a data analytics bootcamp.

The Future of Data Analytics

The field of data analytics has been rapidly transforming for years, with the most radical evolution happening only in the last decade. Big data isn’t a new concept; even in the 1950s, before the term “big data” was coined, organizations relied on basic analytics methods like manually reviewing numbers on spreadsheets to spot insights and trends. Over the past decades, the field has transformed with the introduction of quicker and more efficient ways to examine information. Today, we rely on a range of methods and techniques that facilitate much faster data-based decision-making. Many of these techniques and transformative technologies continue to offer promising advancements that are likely to shape data analytics for years to come.

Explainable artificial intelligence is being used more and more to explain any drawbacks or benefits of a given model, as well as its potential for bias and how it may perform in a given situation. This helps identify times when organizational decisions were based on bad information. Machine learning, particularly deep learning, can help create a neural network built on huge data stores. It can also learn from the data structure, which allows it to spot anomalies and provide predictions. Continuous intelligence is an emerging technology in which real-time analytics are used to inform business operations. This technology compares new data to historical patterns to generate recommendations for courses of action.

Another promising development in data analytics that will continue to inform the field’s evolution is the Internet of Things, which helps Data Analysts analyze vast volumes of data that are created by connected devices. This can help organizations attract new customers and optimize operations. Augmented analytics is also spurring the evolution of the field of data analytics. It draws from natural language processing and machine learning to automate insights. This helps organizations find solutions capable of handling huge datasets at scale, which can provide wider access to data insights. Even the types of data visualizations Data Analysts create are rapidly transforming. Long gone are the days when most Analysts create traditional dashboards or basic visual depictions of data. Self-service business intelligence tools offer cutting-edge capabilities that help Data Analysts create engaging visual representations of data with a focus on outcomes. In the future, it’s expected that data visualizations will continue to become more interactive and find new ways to frame insights such that audience members can connect emotionally to the content being depicted.

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Noble Desktop

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NYIM

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Thinkful

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Career Centers

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Juno College of Technology

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BrainStation

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Data Analytics Certificate

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TripleTen

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General Assembly

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Data Analytics Bootcamp

Georgetown

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Data Analytics Training Map & Top Locations

308 Courses Available Live Online

101 Courses Available in NYC

87 Courses Available in Los Angeles

77 Courses Available in Chicago

60 Courses Available in Washington, D.C.

60 Courses Available in San Diego

58 Courses Available in Phoenix

56 Courses Available in Denver

52 Courses Available in San Francisco

47 Courses Available in Seattle

47 Courses Available in Houston

44 Courses Available in Boston

41 Courses Available in Dallas

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37 Courses Available in Orlando

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37 Courses Available in Detroit

32 Courses Available in Miami

30 Courses Available in Virginia

26 Courses Available in NJ

16 Courses Available in Baltimore

14 Courses Available in Philadelphia

12 Courses Available in Las Vegas

12 Courses Available in CT

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