Course
Data Visualization in Tableau
BasicSkill Level
Updated 08/2024TableauData Visualization6 hr17 videos56 Exercises4,700 XP21,306Statement of Accomplishment
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Becoming a Data Analyst
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.Discover How to Use Data Visualization
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.Learn to Communicate Insights
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!Prerequisites
Analyzing Data in Tableau1
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.
2
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.
3
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.
4
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.
Data Visualization in Tableau
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FAQs
What Tableau skills should I have before this visualization course?
You should have completed Introduction to Tableau and Analyzing Data in Tableau. Familiarity with building basic charts, using filters, and connecting to data sources is expected.
What advanced chart types will I learn to build?
Beyond standard charts, you will create Waffle charts, DNA charts, and Sankey charts, then style them into brand-consistent infographics and dashboards with intuitive navigation.
Does this course cover map-based visualizations?
Yes. Chapter 3 covers geospatial maps, non-geo use cases like schematics and process flows, working with spatial data types, and techniques to beautify your maps.
What datasets are used throughout the course?
You will work with IMDB Movies data and Airbnb data, among other datasets, to practice building a range of visualizations from basic charts to advanced custom designs.
Will I learn to make Tableau dashboards interactive?
Yes. Chapter 2 covers best practices for interactivity including dashboard actions, filters, and techniques for making your visualizations more engaging for end users.
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