Introduction to Tableau
Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data.
- 4 hours
- 29 Videos
- 70 Exercises
- 28,977 Participants
- 5,550 XP
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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.
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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.
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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.
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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.
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Presenting Your Data
Your data is full of interesting stories and insights still waiting to be told. Learn best practices for formatting and presenting data to tell data-driven stories. You’ll also learn how to create dashboards and use them to share key insights and support your team’s goals. You'll use daily stock price and foreign exchange rate data.
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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.
-
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.
-
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.
-
Presenting Your Data
Your data is full of interesting stories and insights still waiting to be told. Learn best practices for formatting and presenting data to tell data-driven stories. You’ll also learn how to create dashboards and use them to share key insights and support your team’s goals. You'll use daily stock price and foreign exchange rate data.
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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.
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Hadrien Lacroix
Content Developer at DataCamp
Hadrien is a Content Developer at DataCamp. He's helping instructors daily build the best Data Science and Machine Learning courses possible.
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Lis Sulmont
Curriculum Manager at DataCamp
Lis is a Curriculum Manager at DataCamp. She holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. Lis is passionate about teaching all things related to data and improving the accessibility of these topics.
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David Venturi
Curriculum Manager at DataCamp
David is a Curriculum Manager at DataCamp. After majoring in Chemical Engineering and Economics, David created a personalized data science master's program using online resources. He has studied hundreds of online courses and created several himself. To connect, reach out on LinkedIn.
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