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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.

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6 Hours17 Videos56 Exercises
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Course Description

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!
  1. 1

    Start to Visualize

    Free

    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.

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    Introduction to data visualization
    50 xp
    Truths and myths about visual information
    100 xp
    Building first visualizations in Tableau
    50 xp
    Getting unstuck with stacked bar charts
    100 xp
    Analyzing change over time with line charts
    100 xp
    Two charts for the price of one?
    100 xp
    Discovering genres with treemaps
    100 xp
    More advanced visualizations
    50 xp
    How chart-savvy are you?
    100 xp
    Building more visualizations in Tableau
    50 xp
    Two ways to a distribution chart
    100 xp
    Another use of the versatile scatter plot
    100 xp
    Hot or not? Analyzing data with heat maps
    100 xp
    Winners or losers - a waterfall chart
    100 xp
  2. 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.

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In the following tracks

Data Analyst in Tableau

Collaborators

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Iason Prassides
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Carl Rosseel
Agata Bak-Geerinck HeadshotAgata Bak-Geerinck

Senior Data Analyst at Telenet

Agata is a passionate data analyst and a certified Tableau practitioner with years of experience in various analytical roles focusing on insights, visualization, and reporting. She currently works for a major Belgian telecom company where she translates vast amounts of complex data into actionable strategic insights for the business leaders. In her free time, she is a foreign languages lover, an avid reader, and an all-around fitness enthusiast.
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Maarten Van den Broeck HeadshotMaarten Van den Broeck

Senior Content Developer at DataCamp

Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
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