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Connecting Data in Tableau

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

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4 Hours14 Videos35 Exercises5,508 Learners
2700 XP

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Course Description

Great analysis begins with great data. But how do you connect Tableau to your databases and other file types, so that you can build a view and analyze your data? In this course, you'll learn how to use connectors in Tableau to create a live connection to CSV and Excel files. Through hands-on exercises, you’ll also learn how to combine multiple data tables with joins, unions, and relationships. Finally, you'll learn to manage different data properties, like renaming data fields, assigning aliases, changing data types, and changing default properties for a data field.

  1. 1

    Combining and Saving Data


    In this chapter, you'll learn how to combine data from different sources using joins, unions, and relationships. You'll also discover the difference between extracts and live connections. Finally, you'll learn how to save your work in Tableau.

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    Combining data tables
    50 xp
    Joins and unions
    100 xp
    Unioning tables
    50 xp
    Combining time data
    100 xp
    Editing the union
    100 xp
    Joining tables
    50 xp
    Returned orders
    100 xp
    Sales representatives
    100 xp
    50 xp
    Functionality of relationships
    50 xp
    Establishing a relationship
    50 xp
    Relationship to manufacturers
    100 xp
    Worst products
    100 xp
    50 xp
    Creating extracts
    50 xp
    Tableau file types
    100 xp
    Extract or live connection
    100 xp

In the following tracks

Tableau Fundamentals


Celia Fryar
Sara Billen Headshot

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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Lis Sulmont Headshot

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.
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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