Data Visualization in Tableau

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Data visualization is one of the most desired skills for data analysts, allowing them to communicate insights in an understandable and impactful way. This course covers a range of data visualization skills using Tableau, allowing you to better present your findings.
If you’re interested in data visualization or if you struggle to make your insights “land” with your stakeholders, then this course is for you.

You’ll start by revisiting some of the core principles of visualizing data before learning the basics of Tableau, looking at how you can use the software to transform your data into something impactful.
You’ll cover some of the data visualization best practices, as well as focus on how to make your Tableau dashboards interactive and appealing. As you progress, you’ll explore how to spatial data to chart maps and non-geo use cases.

Communicating your insights visually will increase the understanding and retention of your information and create more impact. In this course, you will progress from basic data visualization skills toward advanced and custom-made charts, including Waffle charts, DNA charts, and a Sankey charts.
You’ll learn how to accentuate insights and how to render information beautiful and useful at the same time. And all this while working on interesting datasets such as IMDB Movies or Airbnb data. Let’s visualize!

• Start to Visualize
• In this chapter, we revisit the core principles of data visualization and learn how to use Tableau to turn your data into informative, useful, and attractive charts, from basic to more intermediate ones.
• Best Practices in Data Visualization
• Having already explored the first steps in data visualization, you will go through a practical course on best charting practices and learn the dos and don’ts. You will also focus on increasing the interactivity of our visualizations by using dashboard actions to your advantage.
• Maps and Spatial Visualizations
• This chapter focuses on map charting, starting with classic geospatial visualizations and progressing to non-geo use cases, such as visualizing schematics, processes, or traffic. You will also learn how to work with spatial data types and how to beautify your maps.
• Information is Beautiful – Expanding your Charting Toolbox
• In the final Chapter, you will focus on expanding your visualization toolbox with more fancy charts. You will learn how to build, among others, a Waffle chart, DNA chart, and a Sankey chart, and learn how to style them and assemble them into a brand-consistent infographic or dashboard with intuitive navigation. Finally, you will pick a few takeaways from the analysis and assemble them into a data story.