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Data Visualization Courses

Data visualization courses focus on techniques and tools for representing data graphically to communicate information clearly and efficiently. Build your visualization skills with tools such as Python, R, Tableau, Power BI and Excel.
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Recommended for Data Visualization beginners

Build your Data Visualization skills with interactive courses, curated by real-world experts



Data Visualization in Power BI

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


Data Analyst in Power BI

48 hr
Co-created with Microsoft—gain the Power BI skills you need to prepare, model, and visualize data for the PL-300 Data Analyst certification.

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Introduction to Power BI

BeginnerSkill Level
4 hr
Master the Power BI basics and learn to use the data visualization software to build impactful reports.


Introduction to Tableau

BeginnerSkill Level
6 hr
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.


Data Visualization in Power BI

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


Data Visualization in Excel

BeginnerSkill Level
3 hr
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
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Related resources on Data Visualization


Exploring 12 of the Best Data Visualization Tools in 2023 With Examples

There are many data visualization tools available. In this article, we have prepared a comprehensive list of some of the most useful data visualization tools in data science.
Javier Canales Luna 's photo

Javier Canales Luna

17 min

Cheat sheet

Data Visualization Cheat Sheet

In this data visualization cheat sheet, you'll learn about the most common data visualizations to employ, when to use them, and their most common use-cases.
Richie Cotton's photo

Richie Cotton

5 min


Visualizing Data in Excel

Learn about Excel's various data visualization options that can help you analyze and interpret your data.
Jess Ahmet's photo

Jess Ahmet

12 min

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Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser


Investigating Netflix Movies

1 hr
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
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Frequently asked questions

What is data visualization used for?

Data visualization is essential for telling stories with data in a format that is easy to understand. Nobody really enjoys looking at rows and columns of figures, for instance. But if we turn this information into a graphical representation, say a scatter plot or a bar graph, it’s much easier for people to understand the relationship between the qualities we’re representing and our findings.

Data visualizations are found in newspapers, business reports, academic studies, and in many other contexts. With data visualizations, we can condense a lot of information into a smaller area and make it accessible. Visualizations also make it easier to see patterns and differences between variables, even when a table of data or the averages may appear very similar.

Are data visualization skills in demand?

Yes. An analysis from Lightcast found a clear upward trend in job postings that mention ‘data visualization’ between 2016 and 2021.

The ability to effectively visualize data is essential for many roles, technical and non-technical, and will only become more important as businesses better utilize data.

Do I need to know Python to be good at data visualization?

No. Python is not your only option: the programming language R is also a popular choice for creating masterful data visualizations.

Additionally, if you’d like to avoid programming languages altogether, there are dedicated programs such as Tableau that can help you create powerful data visualizations. Excel and Google Sheets are also popular options that require minimal technical skill.

What are the most popular data visualization tools?

Some of the most popular data visualization tools include:

  • Python and its related packages such as Matplotlib and Seaborn
  • R, which was specifically designed for statistical analysis and data visualizations, alongside R tools such as plotly, ggplot2, and lattice
  • Power BI
  • Tableau
  • Excel and spreadsheets

DataCamp offers introductory courses for each of these popular data visualization tools, as well as courses that cover specific data visualization techniques using each technology or its packages.

Do I need to download data visualization software to learn on Datacamp?

No, we provide everything you need right in your browser. Whether you’re learning data visualization with DataCamp’s online courses in Tableau, Power BI, or Python, all you need to bring is your computer and a reliable internet connection.

If you’re taking data visualization with Tableau, you might want to download the software, but it’s not required.

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