Introduction to Tableau
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
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Course Description
Gain a Comprehensive Introduction to Tableau
Tableau is a widely used BI and analytics software trusted by companies like Amazon and Unilever to explore, create, and securely share contextualized data. In this course, you will learn how to build data visualizations, conduct data analyses and adopt best practices of data formatting with Tableau.Discover what Tableau is Used for and How to Visualize Data
With its user-friendly drag-and-drop functionality, Tableau can be used by everyone to quickly clean, analyze, and visualize your team’s data. This course can show you how. You’ll begin the course by understanding Tableau’s fundamental concepts and features, such as how to load data and workbooks and understanding the interface. You will then create your first visualization with Tableau using an Airbnb dataset.Build your Own Tableau Dashboard
The final chapters explore best practices for formatting and presenting your data with Tableau, including creating a dual-axis graph, understanding the differences between a worksheet, dashboard, and story, and finally, creating your very first Tableau dashboard. By the end of this course, you’ll have the skills you need to confidently explore Tableau and build impactful data dashboards. Check out our Tableau Fundamentals track to further develop your Tableau skills.- 1
Getting Started with Tableau
FreeYou will get an understanding of Tableau's fundamental concepts and features: how to connect to data sources, use Tableau’s drag-and-drop interface, and create compelling visualizations. You will be explore an Airbnb dataset for the city of Amsterdam.
Introduction50 xpWhat can('t) you do with Tableau?50 xpConnecting to data50 xpLoading workbooks100 xpLoading data100 xpNavigating Tableau50 xpDimensions and measures100 xpA tour of the interface50 xpNew York neighborhood prices100 xpSegmenting by room type100 xpHow to create visualizations in Tableau50 xpCreating your first visualization100 xpImproving your first visualization100 xpBringing it all together100 xp - 2
Building and Customizing Visualizations
Let’s take it up a level and review the core concepts required for analyzing and exploring data in Tableau. You’ll learn how to slice and dice data with filters, create new columns using your own calculated fields, and aggregate dimensions and measures in a view. You will be working with education, social and infrastructure data.
Filtering and sorting50 xpThe order of filtering100 xpSorting and filtering through selection50 xpSorting and excluding multiple fields100 xpComparing G7 countries100 xpFiltering through the filter shelf50 xpFiltering for null values100 xpTop filters on Tableau100 xpAggregation50 xpAggregating measures and dimensions100 xpScatter plots and aggregations50 xpCO2 Emissions and GDP in Sub Regions100 xpCounting on GDP per capita100 xpStandard deviation of life expectancy100 xpCalculated fields50 xpCalculated fields: which one is false?50 xpCreating calculated fields50 xpCalculated field for rounding100 xpRatio between genders100 xpAverage across genders100 xp - 3
Digging Deeper
Dive deeper into analytics by learning how to visualize geographic data and plot data onto a map visualization. You’ll learn how to work with dates in Tableau and explore how the data changes with time. You’ll also learn how to add reference, trend, and forecasting lines to your views. You will do all of this exploring health statistics worldwide.
Mapping your data50 xpGeocoding in Tableau50 xpCreating a symbol map50 xpYour first symbol map100 xpMore symbol map options100 xpWorld population100 xpWorking with dates50 xpDate hierarchies50 xpVisualizing dates50 xpYour data by year100 xpYour data by month100 xpBirth seasonality100 xpReference lines, trend lines, and forecasting50 xpKnow your lines100 xpAdding reference lines, trend lines, and forecasting50 xpReference lines100 xpTrend lines100 xpForecasting100 xpNatality forecast100 xp - 4
Presenting Your Data
Your data is full of interesting stories and insights still waiting to be told. Learn best practices for formatting and presenting visualisations to tell data-driven stories. Using a new dataset on video game sales you'll be building your first dashboard!
Make your data visually appealing50 xpThe art of formatting50 xpApplying visual best practices50 xpCreate a dual-axis graph100 xpExpanding a dual-axis graph100 xpFormatting your visualization100 xpDashboards and stories50 xpWorksheet vs. dashboard vs. story100 xpCreating dashboards and stories50 xpBuilding a dashboard100 xpFilters and dashboards100 xpCreating and navigating a story100 xpCongratulations!50 xp
Datasets
Workbooks and DatasourcesCollaborators
Maarten 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.
Sara Billen
Data Scientist at DataCamp
Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passionate about education, data science, and business and loves that she is able to combine all of these disciplines in her job as curriculum manager at DataCamp.
Lis Sulmont
Content Program Manager at Duolingo
Lis holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. She's passionate about teaching all things related to data and improving the accessibility of these topics.
Carl Rosseel
Head of BI Curriculum at DataCamp
Carl, a Tableau certified data analyst, is the head of the BI Curriculum at DataCamp, where he focuses on democratizing data skills through Business Intelligence tools. He holds a double master's degree in Business Engineering and worked in various analyst roles at an e-commerce company before joining DataCamp. He likes to use data to make the complex simple and tell data stories. Outside work, you can often find him enjoying a game of soccer, both on and off the pitch.
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