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Cleaning, Transforming and Prepping Your Data With Tableau Prep

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Very rarely is data perfectly ready for visualization. Tableau Prep is a visual data preparation tool that allows you to get to data analysis faster by enabling the quick cleaning, reshaping, and prepping of data—using the same drag-and-drop paradigm as Tableau Desktop. This course shows exactly how to use Tableau Prep for data preparation. Instructor Matt Francis show how to connect to multiple data sources and combine them into a single source of data using joins and unions. Then learn how to filter, split, and rename data and how to pivot data to convert wide data into the tall data that Tableau Desktop prefers. Matt also shows how to sample data, adjust sampling size, and preview and share your final output with Tableau Desktop. The training wraps up with some example flows that show Tableau Prep in action. By the end of the course, you will have learned the skills to make Tableau Prep an essential part of your Tableau data viz process.


01 - Introduction
  • 01 - Why use Tableau Prep before jumping into Tableau Desktop
  • 02 - Software setup

  • 02 - 1. Introduction to Tableau Prep
  • 01 - Introducing the analytic cycle
  • 02 - What is Tableau Prep
  • 03 - A tour of the Tableau Prep workspace
  • 04 - Tableau anatomy

  • 03 - 2. Connecting to Data
  • 01 - Connecting to a data source
  • 02 - Using the data interpreter
  • 03 - Connecting to multiple files
  • 04 - Configuring the data input process
  • 05 - Challenge 1 Connecting files and configuring data inputs
  • 06 - Solution 1 Connecting files and configuring data inputs

  • 04 - 3. Exploring Your Data
  • 01 - Using the Profile pane
  • 02 - Examine the distribution of the data
  • 03 - Examine row-level data in the data grid
  • 04 - How to search and sort
  • 05 - Challenge 2 Exploring the data
  • 06 - Solution 2 Exploring the data

  • 05 - 4. Cleaning Your Data
  • 01 - Splitting fields into new ones
  • 02 - Removing and renaming fields
  • 03 - Cleaning data using calculated fields
  • 04 - Filtering data
  • 05 - Grouping values
  • 06 - Replacing values
  • 07 - Keeping track of changes
  • 08 - Challenge 3 Cleaning data
  • 09 - Solution 3 Cleaning data

  • 06 - 5. Combining Your Data
  • 01 - Merging data using unions
  • 02 - Union data using wildcards
  • 03 - Correcting mismatched fields
  • 04 - Explaining the different join types
  • 05 - Creating joins
  • 06 - Correcting join errors
  • 07 - Challenge 4 Combining data
  • 08 - Solution 4 Combining data

  • 07 - 6. Reshaping Your Data
  • 01 - Reshaping using pivots
  • 02 - Aggregating data
  • 03 - Challenge 5 Aggregate data
  • 04 - Solution 5 Aggregate data

  • 08 - 7. Sampling Your Data
  • 01 - Sampling your data
  • 02 - Sampling options
  • 03 - Challenge 6 Data sampling
  • 04 - Solution 6 Data sampling

  • 09 - 8. Previewing and Sharing Your Data
  • 01 - Preview the flow in Tableau Desktop
  • 02 - Creating output files
  • 03 - Challenge 7 Generating a flow output
  • 04 - Solution 7 Generating a flow output

  • 10 - 9. Example Flows
  • 01 - Flight delays
  • 02 - World indicators
  • 03 - Superstore
  • 04 - Minimum wage

  • 11 - Conclusion
  • 01 - Next steps
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    تاریخ انتشار: 12 تیر 1402
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