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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.
Combining and Saving DataFree
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.Combining data tables50 xpJoins and unions100 xpUnioning tables50 xpCombining time data100 xpEditing the union100 xpJoining tables50 xpReturned orders100 xpSales representatives100 xpRelationships50 xpFunctionality of relationships50 xpEstablishing a relationship50 xpRelationship to manufacturers100 xpWorst products100 xpExtracts50 xpCreating extracts50 xpTableau file types100 xpExtract or live connection100 xp
Managing and Connecting Data
Learn to manage data properties by renaming columns, assigning aliases and geographic roles, changing data types, and leveraging default properties. On top of that, you'll discover the different data connectors and filter types.Data properties50 xpNaming and data labels100 xpManaging the presentation of data50 xpUsing aliases and colors100 xpDefault formatting100 xpMore data management50 xpAssigning geo roles100 xpCreating a hierarchy100 xpDefault aggregations100 xpTableau connectors50 xpConnecting to data50 xpDatabase connectors50 xpTDS data source files100 xpFilters50 xpTableau filters50 xpTableau's filtering order of operation100 xpAdding a context filter100 xpUsing different filters100 xp
In the following tracksTableau Fundamentals
DatasetsWorkbooks and datasources
PrerequisitesIntroduction to Tableau
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.
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.