Find & compare hands-on Data Analytics courses available live online (virtual/remote training). We’ve chosen about 300 of the best Data Analytics courses from the top training providers to help you find the perfect fit.
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.
This immersive course prepares graduates to become professional Software Developers. Students gain skills in programming with Python, JavaScript, and Java.
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.
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Here are some of the top Live Online schools offering Data Analytics training, including ITTA (31 courses), Noble Desktop (19 courses), and Digicomp Academy (19 courses).
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.
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.
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 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 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.
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.
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.
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.
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.
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.
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.
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 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 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Practicum'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. Practicum features intensive boot camps in Data Science, Data Analytics, and Web Development.
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.
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.
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.
This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.
This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.
This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.
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You have several options when it comes to learning Data Analytics, so we’ve chosen 299 of the best Live Online courses from the top 73 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.
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.
If you’re new to Data Analytics, there’s no need to fear. We’ve found 134 beginner courses, with costs ranging from $48 to $27,500. The top options open to beginners include:
Note that beginner courses still typically assume basic proficiency with computers.
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:
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.
If you attend a virtual training from your home or office, you’ll need a computer with strong internet access and any relevant software installed prior to the course. Most schools provide setup instructions before the course, and some will provide direct assistance.
The instruction takes place via a teleconferencing software like Zoom, Webex, or GoToMeeting, and some schools have their own learning portals.
It’s crucial to find a course that fits your schedule. For live online Data Analytics training, we’ve found flexible scheduling options, including weekday, evening, and weekend courses.
Also note, 5 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:
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
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.
If you’re committed to learning Data Analytics comprehensively, we’ve found several courses that can help you achieve that goal.
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:
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.
For those who are committed to comprehensively understand Data Analytics and ready to spend 12 hours to 163 hours to master Data Analytics, these classes will help achieve that goal. With prices ranging from $499 to $4,500, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.
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.
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.
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.
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.
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).
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 national salaries according to Indeed as of August 2020.
See the careers section for more information about the top related careers and salaries, and visit the career pages for detail on skill requirements, day-to-day work, compensation, tips, and more.
Some benefits of live online Data Analytics training include:
While there are several benefits to live online training, there are a few important things to consider. You should make sure you have a quiet workplace with strong internet access. Additionally, you should have the necessary applications installed prior to class and your computer should meet any system requirements. To ensure a seamless learning experience, some schools provide remote setup support and Zoom tutorials upon request prior to the course.
Pricing for Data Analytics training varies by school, duration, method of delivery, and several other factors.
For live online training, prices range from $3/hour to $221/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 hello@nobledesktop.com to receive a quote and free consultation. We can customize the curriculum to meet the needs of your team.
See the tuition comparison below to compare Data Analytics courses by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at hello@nobledesktop.com for a quote.
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Disclaimer & Notes: Hourly rates are estimates only. Courses are not available on an hourly basis. Several other factors that contribute to pricing (such as job support and free retakes) are not factored into pricing per hour. 1 day is estimated to have 6.5 hours of training; 1 week is estimated at 35 hours; and 1 month is estimated at 150 hours. Actual hours will vary by school. Course pricing is subject to change without notice, certain discounts may not be included, and pricing may vary by location.
The field of data analytics continues to emerge as one of the most promising and in-demand career paths for talented professionals. Data analytics is a broad term that encompasses how individuals and companies gather, group, analyze, and communicate data sets in order to make strategic business decisions. Many companies today have an incredible amount of data but lack the manpower and tools to gather meaningful insights from that data, so the demand for data analysts continues to grow. If you’re interested in working with data, learning data analytics can help you take unstructured raw data sets and pull out the key insights needed for informed data-driven decisions.
While an understanding of data analytics is expected for many data-related career choices, there are still many other supplementary skills data analysts need to know as well. Knowing this, it's important to understand which career path is best for you in order to better understand the amount of data analysis knowledge you need, as well as the other tools and programs you should explore. Learn more about the salaries and careers you can achieve by learning Data Analysis.
Data Analysts are in high demand and knowing this skill can lead to many fulfilling career opportunities, including Data Analyst, Business Analyst, and Digital Analyst. Some careers, like Data Analyst and Business Analyst, rely heavily on the modeling and data visualization functionality, using various tools to convey messages about data to a broad audience. For those jobs, you’ll need to have some subject-specific training and understand many key business concepts and metrics.
With live online Data Analysis training, you can learn this high-demand skill from anywhere. You’ll interact with the instructors in real-time and work on a variety of hands-on projects. The cohort style of live online training also helps students to stay engaged and on track to complete the course. Once you have a firm understanding of data analytics, you’ll be able to start working on an impressive range of data-related projects.
Several schools including Noble Desktop, the provider of this tool, offer live interactive data analytics courses to help you meet your goals. For those interested in learning Python and Python’s many data analysis applications, Noble offers a 30-hour Python for Data Science bootcamp taught by experienced professionals that covers many introductory programming concepts like loops, functions, and objects as well as many common data analysis and data science concepts.
Noble also offers longer courses and comprehensive certificate programs catering to students with different interests, including a Data Analytics Bootcamp, which covers many essentials of working with Excel, SQL, Tableau, and more. All Noble classes include a free retake and a guarantee that you’ll learn the skills covered in the syllabus, subject to terms and conditions.
If you’re looking to go beyond data analysis and break into a career in data science, check out Noble’s Data Science Certificate program, which provides a comprehensive overview of the most important data science tools and concepts. The Data Science Certificate program introduces students to the field of data science and is heavily focused on utilizing Python for data science, but also explores SQL applications and other concepts to help provide students with a deeper understanding of data science. This bootcamp is broken into four subject-specific units, so it is manageable and accommodating for those with busy schedules. For more details, check out the FAQ.
Other schools, including NYIM Training, Thinkful, NYC Career Centers, BrainStation, General Assembly, and others offer a variety of courses and bootcamps. Much like Noble Desktop, these schools offer their courses both in-person and online and are taught by industry experts. These other schools also offer short subject-specific courses as well as longer-form bootcamps, to best meet the needs of students.
For example, General Assembly offers a 40-hour beginner-friendly online data analytics course that provides students with a strong introduction to many important data analytics tools and concepts, like working with Excel spreadsheets, harnessing data with SQL, and visualizing data with Tableau. Additionally, NYIM has a variety of different Data Analytics courses to choose from.
Since data analytics is such a broad skill that is applicable across many roles and industries, you’ll want to be sure that you choose a course that meets your goals, whether you’re aiming to advance in your career or trying to learn the basics for your first data science position. So when choosing a live online data science course, you’ll want to focus on the industry focus, job function, and course duration.
For companies looking to train their employees in data analytics, virtual training is available through Noble Desktop. These classes cover business-friendly topics like SQL, Excel, and Python. You can send participants to regularly scheduled group classes held virtually or schedule a private session for your team. Noble Desktop can conduct the training for beginners to advanced users and customize the lesson plan to fit the needs of your team. For more information about corporate training or a free consultation, please email hello@nobledesktop.com
If you’re interested in Data Analytics, you might also be interested in these topics:
For registration assistance and a list of partners and affiliate schools, see the Partners Page. Neither Classes Near Me (“CNM”) nor Noble Desktop is affiliated with any schools other than those listed on the Partners Page. The information provided on CNM for all schools is intended to provide information so that you may compare schools and determine which best suits your needs. The information provided is not updated regularly, so you should go to the schools website directly to verify their continued offerings. Neither CNM nor Noble Desktop can assist with registration for non-partner schools.