Introduction to Tableau
Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data.
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Course Description
Tableau is a widely used business intelligence (BI) and analytics software trusted by companies like Amazon, Experian, and Unilever to explore, visualize, and securely share data in the form of Workbooks and Dashboards. With its user-friendly drag-and-drop functionality it can be used by everyone to quickly clean, analyze, and visualize your team’s data. You’ll learn how to navigate Tableau’s interface and connect and present data using easy-to-understand visualizations. By the end of this training, you’ll have the skills you need to confidently explore Tableau and build impactful data dashboards. Let’s dive in.
- 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 xpConnecting to data50 xpLoading data100 xpLoading workbooks100 xpNavigating Tableau50 xpDimensions and measures100 xpA tour of the interface50 xpNew York's neighborhoods prices100 xpSegmenting by room type100 xpYour first visualization50 xpBuilding and improving visualizations50 xpBuilding 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 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 xpScatter plots and aggregations50 xpCO2 Emissions and GDP in Sub Regions100 xpCounting on GDP per capita100 xpStandard deviation of life expectancy100 xpCalculated fields50 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 xpCreating a symbol map50 xpYour first symbol map100 xpMore symbol map options100 xpWorld population100 xpWorking with dates50 xpVisualizing dates50 xpYour data by year100 xpYour data by month100 xpBirth seasonality100 xpReference lines, trend lines, and forecasting50 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 & stories50 xpWorksheet vs. dashboard vs. story100 xpCreating dashboards and stories50 xpBuilding a dashboard100 xpFilters and dashboards100 xpCreating and navigating a story100 xpCongratulations!50 xp
In the following tracks
Tableau FundamentalsDatasets
Workbooks and DatasourcesCollaborators
Maarten Van den Broeck
Hadrien Lacroix
Curriculum Manager at DataCamp
Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
Sara Billen
Curriculum Manager 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
Workspace Architect at DataCamp
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
Curriculum Manager at DataCamp
Carl, a Tableau certified data analyst, is a Curriculum Manager 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.
What do other learners have to say?
I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.
Devon Edwards Joseph
Lloyds Banking Group
DataCamp is the top resource I recommend for learning data science.
Louis Maiden
Harvard Business School
DataCamp is by far my favorite website to learn from.
Ronald Bowers
Decision Science Analytics, USAA
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