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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

 

课程

Power BI 中的数据可视化

基础技能水平
4.8+
10,891 条评价
3小时
Power BI 是一款强大的数据可视化工具，可用于报表和仪表板。

学习路径

数据分析师 在 Power BI 中

4.7+
215 条评价
50小时
与 Microsoft 共同打造——掌握为 PL-300 数据分析师认证准备、建模和可视化数据所需的 Power BI 技能。

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课程

用 Python 提升数据可视化

中级技能水平
4.7+
324 条评价
4小时
学习构建引人注目且美观的可视化，以高效有效地传达结果。

课程

在 Power BI 中可视化棒球数据

基础技能水平
4.8+
211 条评价
1小时
了解如何使用 Power BI 分析和可视化棒球数据。 创建散点图、龙卷风图和仪表盘，让棒球洞察生动呈现。

课程

在 R 中可视化地理空间数据

中级技能水平
4.6+
90 条评价
4小时
学习读取、探索和处理空间数据，然后用你的技能使用 R 创建信息丰富的地图。

课程

Tableau 中的时间序列分析

中级技能水平
4.7+
163 条评价
2小时
在本课程中，你将学习如何对时间序列进行分类、处理和分析；如果你想成为更出色的数据分析专业人士，这门课程绝对必不可少。

课程

KNIME 中的数据可视化

基础技能水平
4.8+
208 条评价
2小时
学习使用 KNIME 创建引人注目的数据可视化，涵盖图表、组件和仪表板。

课程

案例研究：在 Tableau 中进行电商分析

中级技能水平
4.7+
65 条评价
3小时
在电子商务中，提高销售额和降低成本是首要任务。 本案例研究中，你将分析一家在线宠物用品公司的数据。

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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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