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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

 

Courses

Data Visualization in Power BI

基本的技能水平
3 hours
10.3K
Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Tracks

Data Analyst in Power BI

50 hours
29.7K
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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Courses

Time Series Analysis in Power BI

中间的技能水平
5 hours
371
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Courses

Visualizing Geospatial Data in Python

中间的技能水平
4 hours
316
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Courses

Visualizations in Sigma

基本的技能水平
2 hours
281
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Courses

Visualizing Geospatial Data in R

中间的技能水平
4 hours
235
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Courses

Baseball Data Visualization in Power BI

基本的技能水平
1 hours
230
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Courses

Data Visualization in KNIME

基本的技能水平
2 hours
181
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Courses

Time Series Analysis in Tableau

中间的技能水平
2 hours
162
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.

Courses

Case Study: Supply Chain Analytics in Tableau

中间的技能水平
4 hours
96
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Courses

Case Study: Ecommerce Analysis in Tableau

中间的技能水平
3 hours
79
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Courses

Case Study: Inventory Analysis in Tableau

中间的技能水平
2 hours
65
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

关于Data Visualization相关资源

blogs

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分钟

cheat sheets

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分钟

Tutorials

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分钟

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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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