Best Data Classes Online: On-Demand & Live Online Data Training

Data Training On-Demand

Data Analytics Certificate Learn The Skills Guarantee™

Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.

Learn more & register Explore Noble Desktop’s Data courses
- $4,995
- 156 hours
- Free retake
- Live Online or NYC
- 1:1 Mentoring Included
Featured course from
Get Started in Data Science

Noble Desktop Instructor: Rob Carrington

For students who are interested in the work that data scientists do in their careers, this seminar introduces the field and how to join it. The tutorial begins with an overview of the role that Python...
- Free
- 2 hours
- 1 hour of video
- Beginner
Top 10 Beginner Excel Tricks You Need to Know

Noble Desktop Instructor: Garfield Stinvil

This tutorial teaches students easy techniques for optimizing their time spent in Microsoft Excel spreadsheets. Students discover keyboard shortcuts, autofill options, and ways to spend less time reformatting...
- Free
- 2 hours
- 1 hour of video
- Beginner
Data Analytics Career Track

Springboard

This course guides students through a practice-based curriculum designed to help them enter careers in data analytics. Students start by learning about structured thinking for data analysis and how businesses...
- $8,500
- 6 months
- Beginner
Data Analytics

CareerFoundry

Through this sequence of two courses, students prepare for careers in data analytics. Students begin by learning about the theory and applications of data analytics, gaining skills in using pivot tables...
- $6,900
- 8 months
- Beginner
Google Data Analytics Professional Certificate

Google Career Certificates

These eight sequential courses prepare beginner data analysts for careers in the field. Students start by learning about data and the kinds of problems data analysis can solve, then develop skills in SQL...
- Platform subscription
- 6 months
- Beginner
Data Science

Skillsoft Instructors: Jamie Campbell, Charles Robinson, Ron Johnson, Boris Misljencevic, Niranjan Pandey, Kishan Iyer, Steve Scott, Colin Calnan

Students in this course track learn the essential skills of a data scientist. As they move through the course track, students learn about data management and statistical analysis, as well as how businesses...
- Platform subscription
- 23 hours of video
- Intermediate
Excel Skills for Business Specialization

Coursera Instructors: Nicky Bull, Dr Prashan S. M. Karunaratne, Dr Yvonne Breyer

In this series of four courses, beginner students gain all the tools that advanced business professionals use in Microsoft Excel. Students learn how to navigate and customize spreadsheets and get experience...
- Platform subscription
- 6 months
- Beginner
Data Science Career Track

Springboard

Through this bootcamp, students with experience in programming and statistics can jumpstart their careers in data science. Students learn to use Python, SQL, Pandas, and APIs for data science as they develop...
- $9,900
- 6 months
- Intermediate
Data Engineering Career Track

Springboard

Advanced programmers prepare for careers in data engineering through this course. Students learn advanced applications of Python and gain experience with Apache Airflow and Spark, Docker, and Kubernetes....
- $9,900
- 6 months
- Advanced
MS Excel Training Classes Online

Upskillist

Students in this course level up from novice to expert in using Microsoft Excel for business. Students learn the fundamentals of using data in spreadsheets, including data integrity, as they learn how...
- Platform subscription
- 19 weeks
- Beginner
Excel for Everyone Professional Certificate

UBCx Instructor: Ricardo R. Trujeque

Through a series of three courses, beginners in this professional certificate program gain advanced skills in Microsoft Excel. Students start by learning how Excel can power business data analysis and...
- $447
- 5 months
- Beginner
ML Engineering Career Track

Springboard

Offered through University of California San Diego Extension, this course prepares advanced programmers for careers in machine learning. Students start with learning about and analyzing data, before moving...
- $10,340
- 6 months
- Advanced

Load 15 more courses

showing 12 of 217 courses

Data Courses Live Online

Noble Desktop Data Analytics Certificate

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.
- $4,995
- 156 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
Noble Desktop Python for Data Science Bootcamp

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from...
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
Thinkful Data Analytics Flex

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....
- $4,500
- 6 Months, 25 hr/wk
- Weekdays
- Intermediate
- Money-back guarantee
NYIM Training Data Analytics Technologies Bootcamp

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...
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
NYC Career Centers Data Analytics Technologies Bootcamp

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,...
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
Fullstack Academy Online AI & Machine Learning Bootcamp

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks part-time, students will...
- $14,495
- 26 Weeks
- Weekdays
- Beginner
Fullstack Academy Online Data Analytics Bootcamp (Full or Part Time)

Students build in-demand industry skills and prepare to take certification exams in Tableau and Amazon Web Services. The program consists of Fullstack’s live online classes and workshops so you will feel fully supported along your journey. The up-to-date curriculum...
- $14,495
- 10 Weeks
- Weekdays
- Beginner
Noble Desktop Python Certification Program

Earn a Python certification with hands-on training in data analysis, machine learning, and real-world projects to prepare you for the PCAP exam and beyond.
- $2,999
- 33 Hours
- Weekdays, Evenings, or Weekends
- Intermediate
- Free Retake
Noble Desktop Data Science & AI Certificate Online (Self-Paced)

Build a strong foundation in Python, SQL, and machine learning through self-paced, expert-supported training designed for aspiring data scientists. You’ll gain real-world experience through hands-on projects and capstone work that prepares you for entry-level roles in data science and automation.
- $3,995
- 114 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
NYC Data Science Academy Data Science Bootcamp - Online

This data science bootcamp offers the ability to learn online with a 16-week full-time schedule or a 24-week part-time schedule. Students will learn how to use tools such as Python, R, Hadoop, and AWS to facilitate data visualization and analysis, machine...
- $17,600
- 16 Weeks
- Weekdays or Evenings
- Beginner
NYC Data Science Academy Data Science with R: Data Analysis and Visualization

This 35-hour program offers a comprehensive introduction to R. This course teaches the skills needed to process, manipulate, and analyze data, create visualizations, and generate reports. The program begins with an overview of programming with R. It then moves...
- $2,190
- 5 Weeks, 7 hr/wk
- Weekends
- Beginner
NYC Data Science Academy Big Data with Amazon Cloud, Hadoop/Spark and Docker

This six-week course teaches students how to use key components of Apache Hadoop, Spark, MapReduce, and more. Using platforms such as Databricks, Amazon Web Services, and Docker, students will learn how to use Python and cloud computing to run exercises. Students...
- $2,990
- 6 Weeks, 3 hr/wk
- Weekdays or Evenings
- Intermediate

Showing 12 of 391 courses

Data Topics

Data Analytics

Data analytics refers to the science of data analysis. Data analysis takes place in every industry – gaming companies analyze player data and use that to inform reward schedules and new features, manufacturing companies use data analysis to measure productivity, machine runtime, and capacity, and content companies use data to monitor user behavior. The analysis of raw data yields insights that would not otherwise be evident.

Explore Data Analytics 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 Visualization

Data visualization creates visual representations of data, making it easier to read and understand. Trends and outliers are more easily recognized and understand when data is presented in graph, chart, or map form. Many industries benefit from data visualization techniques, including marketing, retail, service industries, education, government, and finance. Data visualizations can take the form of timelines, radial trees, Gantt charts, and infographics, among many others.

Explore Data Visualization Classes

Machine Learning

Machine learning refers to the process by which a system can “learn” from experience and adjust algorithms to improve effectiveness. Used in natural language processing, computational biology, image processing, and computational finance, machine learning is a potent tool for collecting, organizing, and understanding data. Learning occurs both supervised and unsupervised. Unsupervised machine learning can detect hidden patterns of significance in data and adjust algorithms as needed.

Explore Machine Learning Classes

Python Data Science

Python is a powerful, general-purpose programming language with broad applications for in data analytics, data visualization, and data science. 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. Using libraries such as BeautifulSoup and scikit-learn, Python can collect and organize assembled data for analysis. Python has broad machine learning capabilities that make it agile and adaptive. The Python programming community offers many free code blocks to make the creation of visualizations easy and intuitive.

Explore Python Data Science 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

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

Python Machine Learning

Python is a preferred programming language for machine learning due to its simplicity, versatility, and extensive library ecosystem, which includes tools like TensorFlow. In the realm of data, it enables efficient manipulation, analysis, and the development of complex algorithms, making it essential for deriving insights and predictions from large datasets.

Python for Finance

Python for finance is a specialized application of Python programming that leverages its powerful libraries and tools for financial analysis and modeling. It's a critical subset of data science, enabling professionals to analyze market trends and value assets and make data-driven financial decisions.

Online Data Classes by Provider

Noble Desktop
Noble Desktop’s Top Data Courses
- Top 10 Beginner Excel Tricks You Need to Know
  - Free
  - 2 hours
  - 1 hours of video
  - Beginner
  This tutorial teaches students easy techniques for optimizing their time spent in Microsoft Excel spreadsheets. Students discover keyboard shortcuts, autofill options, and ways to spend less time reformatting data and grids. Additionally, students learn to create easy charts and harness commands. By the end of the class, students will have acquired 10 new skills in Excel.
  
  Go to course at nobledesktop.com
- Get Started in Data Science
  - Free
  - 2 hours
  - 1 hours of video
  - Beginner
  For students who are interested in the work that data scientists do in their careers, this seminar introduces the field and how to join it. The tutorial begins with an overview of the role that Python plays in data science as an open-source programming language. Students learn about the skills and tools that data scientists use their their day-to-day work as well as how to work with data without advanced math skills. At the end of the session, students also get to see data science in action with a demonstration.
  
  Go to course at nobledesktop.com
- Excel Video Tutorials
  - Free
  - 4 hours of video
  - Beginner
  This short course offers students the opportunity to gain a solid foudation in using Microsoft Excel effectively. Students start with the basics of worksheets and workbooks and how to customize their workspace before beginning to enter data and make calculations. Students learn how to format their spreadsheets and their data and make edits, and take advantage of Excel's autofill and conditional formatting features. By the end of the course, students will have a core understanding of working with formulas and functions and troubleshooting errors in Excel.
  
  Go to course at youtube.com
Springboard

Springboard offers online on-demand courses for students who want the bootcamp experience without the bootcamp schedule. Students work with real, live mentors and develop a portfolio to prepare for careers with the school's jobs guarantee.
Springboard’s Top Data Courses
- Data Science Career Track
  - $9,900
  - 6 months
  - Intermediate
  Through this bootcamp, students with experience in programming and statistics can jumpstart their careers in data science. Students learn to use Python, SQL, Pandas, and APIs for data science as they develop skills for data wrangling and data analysis. In addition, students gain experience with inferential statistics, machine learning, deep learning, and natural language processing as they advance through the course and begin to scale up their work. By the end of the course, students will have produced two capstone projects.
  
  Go to course at springboard.com
- Data Science Career Track Prep
  - $490
  - 6 weeks
  - Beginner
  Designed for students who have no prior programming experience, this course helps complete beginners gain the necessary experience to join the Data Science Career Track bootcamp. Students learn to code in Python and gain familiarity with data visualization, probability, and algorithms. Students also work with Pandas and matplotlib as they prepare to use those skills in the bootcamp. At the end of the course, students develop a capstone project to put their new skills into practice.
  
  Go to course at workshops.springboard.com
- ML Engineering Career Track
  - $10,340
  - 6 months
  - Advanced
  Offered through University of California San Diego Extension, this course prepares advanced programmers for careers in machine learning. Students start with learning about and analyzing data, before moving into machine learning algorithms and deep learning. Students gain hands-on experience developing machine learning platforms and have the option of specializing in advanced deep learning, image processing, or natural language processing with additional study. Career coaching is integrated into the course curriculum, and students produce a machine learning capstone project for their professional portfolio.
  
  Go to course at springboard.com
- Data Engineering Career Track
  - $9,900
  - 6 months
  - Advanced
  Advanced programmers prepare for careers in data engineering through this course. Students learn advanced applications of Python and gain experience with Apache Airflow and Spark, Docker, and Kubernetes. Students start by working with big data sets and cloud computing, then advance to working with containers and APIs before learning about data modeling and warehousing. The curriculum is practice-oriented, and students complete the course with a portfolio of professional work, including two capstone projects.
  
  Go to course at springboard.com
CareerFoundry

CareerFoundry runs on-demand bootcamps on in-demand skills. Students can choose among courses in design, web development, and data analytics.
CareerFoundry’s Top Data Courses
- Data Analytics
  - $6,900
  - 8 months
  - Beginner
  Through this sequence of two courses, students prepare for careers in data analytics. Students begin by learning about the theory and applications of data analytics, gaining skills in using pivot tables and statistics in Excel to understand, analyze, and visualize data. Then, students dig into practicing data analysis, developing proficiency with Python, SQL, and Tableau before learning about big data, machine learning, and ethical issues in data analysis. Students complete the course with a portfolio of professional data analytics work.
  
  Go to course at careerfoundry.com
- Intro to Data Analytics
  - $690
  - 1 months
  - Beginner
  Students in this course gain familiarity with the field of data analytics and get practice with some beginner-friendly data analysis. Working with Excel, students learn to clean and organize data sets. Students use pivot tables and statistics as they begin to analyze data for themselves, learning about a range of analytical methods and their applications. By the end of the course, students will have used their new data visualization and presentation skills to share insights about their data analytics project.
  
  Go to course at careerfoundry.com
Google Career Certificates

Offered through Grow with Google, Google Career Certificates allow students to learn essential skills for careers in technology. Graduates earn credentials designed by Google.
Google Career Certificates’s Top Data Courses
- Google Data Analytics Professional Certificate
  - Platform subscription
  - 6 months
  - Beginner
  These eight sequential courses prepare beginner data analysts for careers in the field. Students start by learning about data and the kinds of problems data analysis can solve, then develop skills in SQL in order to extract, store, and clean data for analysis. Students also gain experience with data visualization and programming with R for data analysis. In the final course, students develop a data analysis case study for their capstone project and benefit from lessons in job hunting before they graduate with a certificate from Google.
  
  Go to course at coursera.org
Skillsoft

Skillsoft's catalogue of courses focuses on three areas of professional development: programming and technology, business and executive education, and organizational compliance. Students who complete Skillsoft courses earn a digital badge.
Skillsoft’s Top Data Courses
- Data Science Core Concepts: Data Science Beginner
  - Platform subscription
  - 14 hours of video
  - Beginner
  This course track introduces students to the field and tools of data science. Students learn to scrape, filter, transform, explore, and integrate data before learning the fundamentals of data analysis and visualization. Then, students get an orientation to machine learning, big data, and streaming data. Students also learn to communicate their findings to an audience before earning a digital badge.
  
  Go to course at skillsoft.com
- Data Science Core Concepts: Data Science Intermediate
  - Platform subscription
  - 11 hours of video
  - Intermediate
  In this course track, students with a solid foundation in data science can advance their understanding of the field from a wide range of angles. Students learn how data scientists use R, Python, and ggplot2 for data analysis before digging into the essential math skills needed in data science. Students also learn about data management, integration, and mining, as well as data architectures and big data. By the end of the course track, students will also have familiarity with how organizations use data to make business decisions.
  
  Go to course at skillsoft.com
- Data Science
  - Platform subscription
  - 23 hours of video
  - Intermediate
  Students in this course track learn the essential skills of a data scientist. As they move through the course track, students learn about data management and statistical analysis, as well as how businesses make use of data insights. Students build visualizations in Power BI, Seaborn, and Tableau and develop skills for data research, deep learning, and machine learning. A final exam testing their new knowledge helps students earn a digital badge.
  
  Go to course at skillsoft.com
- Introduction to Tableau Bootcamp
  - Platform subscription
  - 9 hours of video
  - Beginner
  For newcomers and junior data analysts alike, this course track introduces students to visualizing data with Tableau. Students learn about data visualization as a field and strategies for communicating data analyses to audiences through visualizations. In addition, students learn to manipulate data and create dynamic dashboards. The course track comes with a lab exercise, and students who complete the track earn a digital badge.
  
  Go to course at skillsoft.com
Coursera

Born in Stanford, Coursera's MOOC platform offers instruction from more than 200 businesses and institutions of higher education. Many courses can be studied for free, or students can earn university credits and professional certifications with subscription or tuition payments.
Coursera’s Top Data Courses
- Excel Skills for Business Specialization
  - Platform subscription
  - 6 months
  - Beginner
  In this series of four courses, beginner students gain all the tools that advanced business professionals use in Microsoft Excel. Students learn how to navigate and customize spreadsheets and get experience solving problems with formulas and functions before discovering automation techniques for working with large data sets. In addition, students learn to use graphs, charts, pivot tables and charts, and macros for data analysis and gain familiarity with Visual Basic for Excel. Graduates earn a professional certificate.
  
  Go to course at coursera.org
- Meta Marketing Analytics Professional Certificate
  - Platform subscription
  - 7 months
  - Beginner
  With this career training program, students develop essential data analytics skills for marketing analytics. The program starts by training students in marketing before teaching them about data analytics, statistics, and algorithms for marketing analytics. Along the way, students learn the languages SQL and Python and the tools Google Analytics and Tableau. The final unit is dedicated to studying for the Meta Marketing Science Certification exam, and students who pass the exam earn a professional certificate.
  
  Go to course at coursera.org
Upskillist

Upskillist offers online training in a wide range of subjects, such as web development, design, and marketing. Students can earn internationally-recognized certificates through many of the school's programs.
Upskillist’s Top Data Courses
- MS Excel Training Classes Online
  - Platform subscription
  - 19 weeks
  - Beginner
  Students in this course level up from novice to expert in using Microsoft Excel for business. Students learn the fundamentals of using data in spreadsheets, including data integrity, as they learn how to create charts and graphs and take advantage of conditional formatting and templates. As students progress through the course, they gain experience with functions, formulas, macros, and pivot tables and pivot charts, and also learn to use automated tools and do data analysis. At the end of the course, graduates earn an Excel certification from Austin Peay State University continuing education, recognized by the global CPD Certification Service.
  
  Go to course at upskillist.com
- Data Analytics Certification Course
  - Platform subscription
  - 4 weeks
  - Beginner
  This short course jumpstarts newcomers to the field of data analysis. Students get an introduction to data and statistics, learning to assess the quality of samples and test for differences. Students then learn the coding language R as they gain experience with concepts like linear and logistic regressions, classification, and predictive analysis. Working with Tableau, students also develop skills for data visualization before graduating with a certification in data analytics from Austin Peay State University continuing education, recognized by the global CPD Certification Service.
  
  Go to course at upskillist.com
- Database Management Course Online
  - Platform subscription
  - 16 weeks
  - Beginner
  Beginners in this course learn the tools and concepts necessary for expert database management. Students work primarily with SQL as they gain experience with data manipulation before moving on to work with tables, clauses, queries, indexes, data warehouses, and schemas as they learn to structure queries. Students also learn to use industry-standard database management tools including Microsoft SQL Server and Visual Studio and Oracle Database. When they complete the course, students graduate with a certification issued by Austin Peay State University continuing education, recognized by the global CPD Certification Service.
UBCx

UBCx is the edX arm of the University of British Columbia. Bringing education from one of the leading Canadian universities to a wider audience, UBCx offers education in subjects from coding to Excel to psychology.
UBCx’s Top Data Courses
- Excel for Everyone Professional Certificate
  - $447
  - 5 months
  - Beginner
  Through a series of three courses, beginners in this professional certificate program gain advanced skills in Microsoft Excel. Students start by learning how Excel can power business data analysis and discover how to create and manage spreadsheets, enter and manage data, and generate charts for data visualization. Then, students learn to use functions, formulas, tables, and pivot tables and charts before gaining experience with automation, macros, and Visual Basic for Excel. Graduates earn a professional certificate through edX.
  
  Go to course at edx.org

Load 10 more providers

showing 8 of 32 providers

Learn Data for a New Career

Data are characteristics or information that are either qualitative or quantitative variables about one or more objects. Data can be used to describe the information stored within servers, information collected from users, and statistics analyzed for business decisions. Americans use over 4 million gigabytes of internet per day, that produces massive amounts of data which need to be analyzed, stored, and sorted to turn into useful information. This data powers a variety of careers in four specific sectors: data science, business, finance, and marketing. Learning more about data can inform your decision to work in one of these areas of expertise.

Learn More About Online Data Courses

Every day, human beings produce trillions upon trillions of bytes of data, and we are significantly better at gathering and collecting this data, which has the effect of making it very useful to anyone who knows how to read and interpret it. Almost every major institution, organization, and company is now leveraging data as a means of adding efficiency and clarity to their regular workflow, and even very small start-ups have access to data collection and cleaning tools that are light-years ahead of what they were even a few years ago. If you are looking to enter into a high-paying, in-demand job field, learning how to work with data is a great first step and will open up a lot of doors.

Per the Bureau of Labor Statistics, data-related jobs are expected to be some of the fastest-growing positions through 2033. They anticipate that job openings for data scientists will grow at a staggering 36% YoY, 9 times the expected national average for all job openings. In addition, other data-related professions are anticipated to grow (though slightly more slowly) at rates well above an average of 10%.

Key Job Titles and Responsibilities for Data Professionals

Data Scientist: Data scientists are responsible for building the high-level tech and applications that facilitate the process of data collection, analysis, and organization. These professionals will often work on generalist data science projects that involve theoretical approaches to handling, collecting, and querying data, rather than working with practical datasets. They will almost always need to have a background in coding (Python is a good language to know), and they may work on cutting-edge projects like those related to machine learning algorithms.
Data Analyst: By contrast, data analysts are the professionals who take real-world datasets and interpret and analyze those datasets for practical business or institutional purposes. Rather than building data-related tools, these professionals will leverage those tools to offer insight into a specific business or institution's data and how those insights can be translated into actionable strategies and plans. They often use SQL and BI tools to query and visualize data and will need significantly less coding expertise.
Data Engineer: Data Engineers are professionals who build and maintain data pipelines and databases, ensuring data is clean, accessible, and well-structured for analysis. They will likely work on practical data tasks, but they will not spend much time analyzing specific data. Rather, they will build the infrastructure that analysts and other relevant stakeholders use to access and organize their data. They are most likely to find work in industries like healthcare or finance, where huge amounts of data are created and need to be easily accessible and easy to query.
Machine Learning Engineer: Machine Learning Engineers are specialized data scientists who work on machine learning, LLM, or artificial intelligence projects. These projects range from AI development work for general audiences (such as those that are attempting to make tools like ChatGPT or CoPilot more robust and accessible) to more focused projects that individual companies are taking to leverage AI to their advantage (such as Netflix building and refining its recommendation system or Facebook fine tuning its content algorithm). These professionals are in high demand, and they have the opportunity to find work on the cutting edge of the tech sector.

Common Industries for Data Professionals

While data and data-related tools and skills are commonly used across a wide range of different industries, there are several that stand out as the most common data-focused sectors. If you are interested in a career in any of these fields, learning data skills is a good step towards finding work in the field.

Tech and Software: The tech and software field makes use of data in a number of different ways. Not only do they employ data scientists to help develop the tools that they use to build data-related systems, but they are also increasingly hiring machine learning engineers to assist in the process of designing integrated AI tools for end-users to take advantage of when using their software or hardware.
FinTech: The financial industry relies on data collection and analysis tools to keep up-to-date on market trends, asset valuations, and the state of global finances. There are plenty of analytics positions open at investment firms and banks, and there is always demand for professionals working on the next big breakthrough in FinTech and financial analysis software.
Healthcare: The healthcare industry is one of the largest producers of consumer data in the world, with every aspect of patients' engagement with hospitals and providers producing mountains of medical information. This data must be easy to access but also highly protected, meaning that data engineers are in high demand. In addition, machine learning technology is aiming to change the way we approach diagnostic medicine as doctors are able to examine patients within the context of billions of data points.
Ecommerce: The online retail and ecommerce sector utilizes data in a number of practical and theoretical ways. In addition to hiring engineers and scientists to build the platforms that collect and organize customer data and engagement with their platforms. In addition, analysts will then use this data to help businesses and institutions make the most out of their ecommerce projects.
Public Services / Non-profits: If you are interested in working in government or at a non-profit, you are still likely to encounter data-related tasks and projects with a fair amount of regularity. Not only will data be used to track service use, plan for future initiatives, and determine what is and isn’t moving public opinion, but it will also be used for internal communication and design documents that are shared as part of the early process of developing new initiatives.

Data Training On-Demand

Data Analytics Certificate Learn The Skills Guarantee™

Data Courses Live Online

Data Topics

Data Analytics

Data Science

Data Visualization

Machine Learning

Python Data Science

SQL

Tableau

Excel

Python Machine Learning

Python for Finance

Online Data Classes by Provider

Noble Desktop

Noble Desktop’s Top Data Courses

Top 10 Beginner Excel Tricks You Need to Know

Get Started in Data Science

Excel Video Tutorials

Springboard

Springboard’s Top Data Courses

Data Science Career Track

Data Science Career Track Prep

ML Engineering Career Track

Data Engineering Career Track

CareerFoundry

CareerFoundry’s Top Data Courses

Data Analytics

Intro to Data Analytics

Google Career Certificates

Google Career Certificates’s Top Data Courses

Google Data Analytics Professional Certificate

Skillsoft

Skillsoft’s Top Data Courses

Data Science Core Concepts: Data Science Beginner

Data Science Core Concepts: Data Science Intermediate

Data Science

Introduction to Tableau Bootcamp

Coursera

Coursera’s Top Data Courses

Excel Skills for Business Specialization

Meta Marketing Analytics Professional Certificate

Upskillist

Upskillist’s Top Data Courses

MS Excel Training Classes Online

Data Analytics Certification Course

Database Management Course Online

UBCx

UBCx’s Top Data Courses

Excel for Everyone Professional Certificate

Learn Data for a New Career

Learn More About Online Data Courses

Key Job Titles and Responsibilities for Data Professionals

Common Industries for Data Professionals

Related Online Tech Classes