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The projected growth of the global data visualization market
The average salary for a data visualization professional
This free data visualization course provides the key concepts and tools of data visualization. As data-driven decision-making becomes more prevalent across industries, the need for skilled data visualization professionals continues to increase rapidly. Through a series of video lessons and hands-on exercises, you'll learn how to:
Apply data visualization principles to create meaningful representations of data
Data visualization involves creating graphical representations of data and information. It makes large, complex datasets easier to comprehend and digest. As more industries rely on big data analytics, data visualization is essential for deriving and communicating data-driven insights.
This course covers popular tools like Tableau, Power BI, Excel, and ggplot2 in R. Other common data visualization tools include D3.js, Python's Matplotlib and Seaborn libraries, and web-based tools like Plotly and Datawrapper.
No prior experience with data visualization or programming is required. However, having some knowledge of statistics and spreadsheet software can be helpful.
You get 90 days of unlimited access to the course materials.
Yes, online courses are very effective for learning in-demand skills like data visualization. The online format offers flexibility and accessibility.
As an introductory primer, this course is aimed at beginners. There is no need for extensive knowledge of mathematics or programming.
No, the course is 100% free, thanks to SkillUp. There are no hidden fees.
You can download your certificate as soon as you finish all the course modules.
While very common in business intelligence, data visualization is also extremely useful in healthcare, science, social sciences, journalism, engineering, and more.