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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

 

Course

Data Visualization in Power BI

BasicSkill Level
4.8+
9,792 reviews
3 hr
Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Track

Data Analyst in Power BI

4.7+
195 reviews
50 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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Browse Data Visualization courses and tracks

Course

Case Study: Ecommerce Analysis in Power BI

IntermediateSkill Level
4.8+
201 reviews
4 hr
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Course

Baseball Data Visualization in Power BI

BasicSkill Level
4.8+
186 reviews
1 hr
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Course

Time Series Analysis in Power BI

IntermediateSkill Level
4.8+
262 reviews
5 hr
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Course

Case Study: Supply Chain Analytics in Power BI

BasicSkill Level
4.8+
179 reviews
4 hr
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Course

Case Study: Inventory Analysis in Power BI

IntermediateSkill Level
4.7+
167 reviews
5 hr
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Course

Communicating with Data in the Tidyverse

BasicSkill Level
4.8+
194 reviews
4 hr
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Course

Time Series Analysis in Tableau

IntermediateSkill Level
4.7+
155 reviews
2 hr
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Course

Visualizing Geospatial Data in R

IntermediateSkill Level
4.5+
86 reviews
4 hr
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Course

Data Visualization in KNIME

BasicSkill Level
4.8+
199 reviews
2 hr
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Course

Case Study: Ecommerce Analysis in Tableau

IntermediateSkill Level
4.7+
62 reviews
3 hr
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Course

Case Study: Supply Chain Analytics in Tableau

IntermediateSkill Level
4.8+
70 reviews
4 hr
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Course

Case Study: Inventory Analysis in Tableau

IntermediateSkill Level
4.7+
61 reviews
2 hr
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Related resources on Data Visualization

blog

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

13 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.
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Richie Cotton

5 min

Tutorial

Visualizing Data in Excel: A Complete How-To Guide

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

12 min

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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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