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The Best Courses for Learning Data Analysis

Woman working on data analysis

Data is everywhere. Everything you do online and in your daily life generates data—and it’s a valuable business resource. In fact, 94% of companies say data and analytics are essential to their growth. 

As we move toward greater digitization, there is an ever-increasing demand for professionals who can turn information into actionable insights. DataCamp teaches people how to unlock the secrets of big data and join the data industry.

Study with DataCamp to become a data analyst with SQL or Python, or gain a career-boosting advantage by learning how to use popular data analysis tools. 

Learn from the best: learn data analysis with DataCamp’s online courses.

Woman working on data analysis

Data Analysis Courses for Beginners

New to wrangling data? We’ve got you covered. Many of DataCamp’s data analysis courses were designed specifically for beginners. 

Whether you want to deep dive into a new skill or dip your toes in to see if data analysis is right for you, start with our courses for beginners. Learn the basics with Introduction to SQL, Python, or R for Data Analysis, or try your hand at creating powerful data graphics with an Introduction to Data Visualization course.

Python

Data Manipulation with pandas

Use the world’s most popular Python data science package to manipulate data and calculate summary statistics.

Clock4 hours
Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

Python

Introduction to Python

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.

Clock4 hours

Hugo Bowne-Anderson

Data Scientist at DataCamp

SQL

Introduction to SQL

Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.

Clock4 hours
Nick Carchedi Headshot

Nick Carchedi

Product Manager at DataCamp

SQL

Exploratory Data Analysis in SQL

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

Clock4 hours
Christina Maimone Headshot

Christina Maimone

Data Scientist, Northwestern University

Spreadsheet

Data Analysis in Spreadsheets

Learn how to analyze data with spreadsheets using functions such as SUM(), AVERAGE(), and VLOOKUP().

Clock3 hours
Vincent Vankrunkelsven Headshot

Vincent Vankrunkelsven

Data and Software Engineer @DataCamp

Spreadsheet

Data Visualization in Spreadsheets

Learn the fundamentals of data visualization using spreadsheets.

Clock4 hours
Raina Hawley Headshot

Raina Hawley

Owner/Instructor, OzGrid Business Applications

Tableau

Analyzing Data in Tableau

Take your Tableau skills up a notch with advanced analytics and visualizations.

Clock8 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Creating Dashboards in Tableau

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Clock4 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Excel

Data Analysis in Excel

Learn how to analyze data in Excel.

Clock4 hours
Jen Bricker Headshot

Jen Bricker

Head of Career Services, DataCamp

Python

Streamlined Data Ingestion with pandas

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Clock4 hours
Amany Mahfouz Headshot

Amany Mahfouz

Data scientist via spatial analytics and geography.

Learn to Use Popular Data Analysis Tools

Learn the tricks of the trade (and the technologies you’ll need) to land a well-paid job in data. 

DataCamp’s courses cover all the popular data analysis tools that businesses use. Learn to use analytics software and platforms like Power BI, Tableau, Excel, and spreadsheets. Or power up your data abilities by learning Python, SQL, and R—the best programming languages for data science and analytics.

Python

Data Manipulation with pandas

Use the world’s most popular Python data science package to manipulate data and calculate summary statistics.

Clock4 hours
Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

Python

Building Dashboards with Dash and Plotly

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Clock4 hours
Alex Scriven Headshot

Alex Scriven

Data Scientist @ New South Wales Government

R

Reporting with R Markdown

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Clock4 hours
Amy Peterson Headshot

Amy Peterson

Head of Core Curriculum at DataCamp

R

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Clock4 hours
Timo Grossenbacher Headshot Timo Grossenbacher Headshot

Timo Grossenbacher Headshot Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

Tableau

Analyzing Data in Tableau

Take your Tableau skills up a notch with advanced analytics and visualizations.

Clock8 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Tableau

Statistical Techniques in Tableau

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Clock4 hours
Maarten Van den Broeck Headshot

Maarten Van den Broeck

Content Developer at DataCamp

Excel

Data Analysis in Excel

Learn how to analyze data in Excel.

Clock4 hours
Jen Bricker Headshot

Jen Bricker

Head of Career Services, DataCamp

Power BI

Data Visualization in Power BI

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Clock3 hours
Kevin Feasel Headshot

Kevin Feasel

CTO, Envizage

Power BI

Introduction to DAX in Power BI

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Clock2 hours
Jess Ahmet Headshot

Jess Ahmet

Content Developer at DataCamp

Data Analysis Courses Using SQL

SQL is synonymous with relational databases. Used by a multitude of leading companies worldwide, it’s fast, efficient, and best of all, easy to learn. Master data analysis with SQL and gain an in-demand skill. With SQL, you’ll be able to update, query, and reorganize data, as well as shaping the structure of databases and controlling access.  

DataCamp is home to a comprehensive range of data analysis courses with SQL. Start with an Introduction to SQL, kick things up a notch in Intermediate SQL, explore Exploratory Data Analysis in SQL, or design a database with Introduction to Relational Databases in SQL. 

SQL

Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

Clock4 hours
Timo Grossenbacher Headshot

Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

SQL

Exploratory Data Analysis in SQL

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

Clock4 hours
Christina Maimone Headshot

Christina Maimone

Data Scientist, Northwestern University

SQL

Exploratory Data Analysis in SQL

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

Clock4 hours
Christina Maimone Headshot

Christina Maimone

Data Scientist, Northwestern University

SQL

Analyzing Business Data in SQL

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Clock4 hours
Michel Semaan Headshot

Michel Semaan

Data Scientist

SQL

Applying SQL to Real-World Problems

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Clock4 hours
Dmitriy Gorenshteyn Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

SQL

Reporting in SQL

Learn how to build your very own dashboard by applying all the SQL concepts and functions you have learned in previous courses.

Clock4 hours
Tyler Pernes Headshot

Tyler Pernes

Learning & Development Consultant

SQL

Functions for Manipulating Data in SQL Server

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Clock4 hours

Ana Voicu

Software Developer

SQL

Data-Driven Decision Making in SQL

Learn how to analyze a SQL table and report insights to management.

Clock4 hours
Bart Baesens Headshot

Bart Baesens

Professor in Analytics and Data Science at KU Leuven

SQL

Building and Optimizing Triggers in SQL Server

Learn how to design and implement triggers in SQL Server using real-world examples.

Clock4 hours
Florin Angelescu Headshot

Florin Angelescu

Database Developer

SQL

Cleaning Data in SQL Server Databases

Develop the skills you need to clean raw data and transform it into accurate insights.

Clock4 hours
Miriam Antona Headshot

Miriam Antona

Software Engineer

Popular Data Analysis Courses

DataCamp’s most-popular online data analysis courses are trending—and with good reason.

You can go from novice to master of the data with our Data Analyst with Python or Data Analyst with R career tracks; wrap your head around the basics with an Introduction to Python or Introduction to SQL course; or, sign up for our Data Scientist with Python career track.

Tableau

Analyzing Data in Tableau

Take your Tableau skills up a notch with advanced analytics and visualizations.

Clock8 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Tableau

Connecting Data in Tableau

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Clock4 hours
Sara Billen Headshot

Sara Billen

Curriculum Manager at DataCamp

SQL

Exploratory Data Analysis in SQL

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

Clock4 hours
Christina Maimone Headshot

Christina Maimone

Data Scientist, Northwestern University

SQL

Data-Driven Decision Making in SQL

Learn how to analyze a SQL table and report insights to management.

Clock4 hours
Bart Baesens Headshot

Bart Baesens

Professor in Analytics and Data Science at KU Leuven

Python

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and speak the language of your data.

Clock3 hours
Justin Bois Headshot

Justin Bois

Lecturer at the California Institute of Technology

R

Hypothesis Testing in R

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests.

Clock4 hours
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

Spreadsheet

Data Communication Concepts

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Clock3 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

R

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Clock4 hours
Timo Grossenbacher Headshot

Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

Python

Building Dashboards with Dash and Plotly

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Clock4 hours
Alex Scriven Headshot

Alex Scriven

Data Scientist @ New South Wales Government

Practice Data Analysis with Projects and Cheat Sheets

DataCamp is not your average learning platform. We offer the best data analysis courses, but we’ve also built up a whole community and a library’s worth of resources to support your learning path.

Flex and practice your data analysis skills with DataCamp’s range of fun projects, use cheat sheets to get some in-the-know tips and shortcuts, and build your experience and data analysis portfolio with our templates.

Theory

Exploring the Evolution of Lego

In this project, we will use data manipulation skills to zoom in on a time when Lego explored a new direction for their toy line!

Justin Saddlemyer Headshot

Justin Saddlemyer

Theory

Visualizing COVID-19

Visualize the rise of COVID-19 cases globally with ggplot2.

Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

Theory

Wrangling and Visualizing Musical Data

Wrangle and visualize musical data to find common chords and compare the styles of different artists.

Kris Shaffer Headshot

Kris Shaffer

Data scientist and instructional technology specialist

Theory

Analyze International Debt Statistics

Write SQL queries to answer interesting questions about international debt using data from The World Bank.

Sayak Paul Headshot

Sayak Paul

Machine Learning Engineer at Carted

Theory

Analyze Your Runkeeper Fitness Data

Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.

Andrii Pavlenko Headshot

Andrii Pavlenko

Project Instructor

Python

Pandas Cheat Sheet for Data Science in Python

A quick guide to the basics of the Python data analysis library Pandas, including code samples.

Karlijn Willems  Headshot

Karlijn Willems

Python

Python Data Visualization: Bokeh Cheat Sheet

A handy cheat sheet to interactive plotting and statistical charts with Bokeh.

Karlijn Willems  Headshot

Karlijn Willems

Python

Home Cheat sheets Python Pandas Cheat Sheet: Data Wrangling in Python

This cheat sheet is a quick reference for data wrangling with Pandas, complete with code samples.

Karlijn Willems  Headshot

Karlijn Willems

Python

Matplotlib Cheat Sheet: Plotting in Python

This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples.

Karlijn Willems Headshot

Karlijn Willems

Python Seaborn Cheat Sheet

This Python Seaborn cheat sheet with code samples guides you through the data visualization library that is based on Matplotlib.

Karlijn Willems Headshot

Karlijn Willems

Data Analysis Courses FAQs

Is data analysis easy to learn?

It’s different for everyone. Some people pick up data analysis very quickly, while others need a bit more time. The underlying theory and concepts are not hard to understand (or highly technical), but you’ll need to learn a few popular data analysis tools. 

This includes SQL and databases, a programming language such as Python or R, spreadsheets and Excel, and software such as Power BI or Tableau. 

It might sound like a lot, but each technology is easy to learn individually, especially when you choose data analysis courses from a dedicated online training provider like DataCamp.

What jobs can you get with data analysis skills?

With data analysis skills in your technical tool kit, you have plenty of job options:

  • Data analyst
  • Database administrator
  • Systems analyst
  • Business intelligence
  • Digital marketer
  • Data scientist
  • Financial analyst
  • And many more…

Because the modern business world is data-driven, people with data analysis skills find it easy to get work in an eclectic mix of industries and sectors.

Are data analysis skills in demand?

Yes, data analysts are some of the most in-demand professionals worldwide. An APEC report noted that data science and analytics (DSA) is at the top of the skill shortage list, with supplies of professionals “critically low.”

Both public and private organizations need to understand their data to make informed decisions and for that, they need people with data analysis skills. It’s safe to say that learning data analysis in 2022 and beyond is a smart career move.

Do I need software to learn data analysis?

It depends. If you learn data analysis with DataCamp’s range of online courses, you won’t need any additional software. But if you decide to teach yourself, you will need to source all the tools and tech.

If you go down the latter route, know that data analysis relies upon several technologies. So, you should look into software such as Excel, Tableau, and Power BI. You’ll also need either R or Python, SQL, and access to a relational database such as PostgreSQL.

Do I need to download software to learn on Datacamp?

No. You don’t need to download anything; all you need is a reliable internet connection and a browser. 

We use our unique learning platform to teach you the tools and technologies of data analysis, so there’s no need to source the software yourself.

What is the difference between a free account and a subscription?

Full access to DataCamp’s wide range of data analysis courses. With a free subscription, you can complete the first chapter of all DataCamp courses, access parts of our resources and practice center, and get involved in the community.

With a premium subscription, you get unlimited access to all of DataCamp’s data analysis courses from the first chapter right through to completion (including access to our complete library of more than 350 courses). You’ll also be able to take part in special projects that help cement your learning and gain shareable statements of achievement.