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Course Outline

Introduction

Overview of Tableau Prep Builder

  • Defining Tableau Prep Builder
  • Core features and benefits for data preparation
  • Interface navigation and layout

Positioning Prep Builder within the Tableau Ecosystem

  • Integration with Tableau Desktop and Tableau Server
  • Workflow dynamics in data analysis and visualization

Categorizing Data Connections

  • Connecting to cloud-based sources (e.g., Google Sheets, AWS)
  • Linking to local files (Excel, CSV, databases)
  • Recognizing various data formats and storage types

Administering Data Connections

  • Setting up data storage configurations
  • Managing live versus extracted data connections

Data Cleaning and Shaping

  • Identifying and resolving null values and missing data
  • Splitting, renaming, and merging fields
  • Applying filters and grouping data for analytical purposes

Foundational Data Transformations

  • Implementing pivots, unpivots, and aggregations
  • Executing joins and unions between datasets
  • Leveraging the Data Interpreter for automated cleanup

Integrating Data from Multiple Origins

  • Joining data across different formats (cloud, local, databases)
  • Effectively blending and merging datasets
  • Performing full, inner, left, and right joins

Advanced Combination Techniques

  • Using relationships to link datasets
  • Distinguishing between joins and blends

Developing Calculated Fields

  • Basic calculations involving arithmetic, string, and date functions
  • Logical functions (IF, CASE) for data manipulation

Executing Data Operations

  • Aggregating data (sum, average, min, max)
  • Creating and applying dynamic calculated fields to datasets
  • Customizing calculations based on specific requirements

Publishing to Tableau Server and Tableau Online

  • Steps for publishing prepared data for analysis
  • Scheduling updates for published data

Overseeing Data Updates

  • Refreshing data sources within Tableau Prep Builder
  • Automating workflow updates and executing scripts

Comprehending Geographic Data

  • Geographic roles in Tableau (Country, City, Postal Codes, etc.)
  • Preparing data for mapping (latitude/longitude, geocoding)

Constructing Basic Maps

  • Generating simple maps using geographic data
  • Customizing map visuals (color, size, detail)

Leveraging Map Layers

  • Incorporating data layers for deeper insights
  • Establishing map interactions and filters

Handling Custom Geographies

  • Importing custom shape files (e.g., regional or demographic data)
  • Plotting data using non-standard geographic divisions

Developing Filled and Density Maps

  • Visualizing data density across regions
  • Creating filled geographic maps based on specific fields

Advanced Map Functionality

  • Designing dual-axis maps for enhanced insights
  • Utilizing map layers and filters to create interactive geographic visualizations

Practical Data Preparation and Map Construction

  • Combining and transforming data from cloud sources
  • Creating calculated fields and operations in Prep Builder
  • Building a comprehensive map dashboard using prepared data

Case Studies and Real-World Applications

  • Addressing business challenges using Tableau Prep and maps
  • Building a data pipeline from connection to visualization

Summary and Future Directions

Requirements

  • Fundamental understanding of data concepts, including formats (such as CSV, Excel) and storage mechanisms.
  • Proficiency in using computers and navigating software interfaces.

Target Audience

  • Data analysts.
 21 Hours

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