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.Start Course for Free
6 Hours17 Videos56 Exercises3,727 Learners
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Becoming a Data AnalystData 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 VisualizationYou’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 InsightsCommunicating 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!
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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.Introduction to data visualization50 xpTruths and myths about visual information100 xpBuilding first visualizations in Tableau50 xpGetting unstuck with stacked bar charts100 xpAnalyzing change over time with line charts100 xpTwo charts for the price of one?100 xpDiscovering genres with treemaps100 xpMore advanced visualizations50 xpHow chart-savvy are you?100 xpBuilding more visualizations in Tableau50 xpTwo ways to a distribution chart100 xpAnother use of the versatile scatter plot100 xpHot or not? Analyzing data with heat maps100 xpWinners or losers - a waterfall chart100 xp
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.Best practices in visualization50 xpDo and don'ts of data visualization100 xpPractice what you preach50 xpChoosing correct viz for evolution over time100 xpThe issue with the pie charts...100 xpThe power of careful formatting100 xpBeautifying a distribution chart100 xpBuilding user-friendly, interactive visualizations50 xpSaying more with less!50 xpTooltip . . . and Action!50 xpWhat's in a word: tag cloud chart100 xpHiding extra goodies in the tooltip100 xpInteractive film browser with actions100 xpSurfing the web from your dashboard100 xp
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.Visualizing data on geographical maps50 xpAre you a digital cartographer yet?100 xpDiscovering the world through Tableau maps50 xpFirst steps with maps100 xpMixing point and polygon maps100 xpBeautifying the maps100 xpDrawing charts on top of maps100 xpDoing more with maps - custom backgrounds50 xpWhat do you know about custom maps?100 xpA quick visit to Treasure Island50 xpA visit to the museum: mapping the rooms100 xpMost visited corners of the museum100 xpMonitoring the visitors throughout the day100 xpFollowing the crowds with animated paths100 xp
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.Advanced visualizations50 xpWhich chart works best?100 xpBuilding impressive charts50 xpEat that waffle!100 xpDistribution with DNA charts100 xpQuick insights with sparklines100 xpSparklines in a tooltip100 xpBringing it all together50 xpOne step at a time100 xpStorytelling like a pro50 xpAssembling a travel dashboard100 xpMaking it actionable100 xpHighlighting insights with a story100 xpCongratulations!50 xp
In the following tracksData Analyst in Tableau
DatasetsWorkbooks and Datasources
PrerequisitesAnalyzing Data in Tableau
Agata Bak-GeerinckSee More
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.
Maarten Van den BroeckSee More
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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