Tableau Desktop: Part 2

Audience:

This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.

Prerequisites:

To ensure your success in this course, you should have experience with importing data and creating data visualizations in Tableau. You can obtain this level of skill and knowledge by taking the following Logical Operations course: Tableau® Desktop: Part 1 (Second Edition) Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, as well as an understanding of database design concepts or a background in statistical analysis, will help you get even more out of Tableau. The following courses are helpful but not required: Google Analytics™: Foundation (Second Edition) Database Design: A Modern Approach Data Analysis and Visualization with Microsoft® Excel®

Course Description:

Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients.

COURSE OBJECTIVES:

In this course, you will perform advanced data visualization and data blending with Tableau. You will:

• Blend data multiple sources.
• Join data.
• Access data in PDFs.
• Refine visualizations with sets and parameters.
• Analyze data with calculations.
• Visualize data with advanced calculations.
• Perform statistical analysis and forecasting.
• Create geographic visualizations.
• Get answers with Ask and Explain

OUTLINE:

Lesson 1: Blending Data from Multiple Sources

Topic A: Blend Data

Topic B: Refine Blends to Visualize Key Information

 

Lesson 2: Joining Data

Topic A: Create Joins

Topic B: Troubleshoot Joins

Topic C: Merge Data with Unions

 

Lesson 3: Accessing Data in PDFs

Topic A: Connect to PDFs

Topic B: Clean Up and Organize PDF Data

 

Lesson 4: Refining Visualizations with Sets and Parameters

Topic A: Create Sets

Topic B: Analyze Data with Sets

Topic C: Apply Parameters to Refine Visualizations

Topic D: Create Advanced Visualizations

 

Lesson 5: Analyzing Data with Calculations

Topic A: Create Calculated Fields to Analyze Data

Topic B: Manipulate Data with Functions

Topic C: Analyze Data with Table Calculations

 

Lesson 6: Visualizing Data with Advanced Calculations

Topic A: Create Groups and Bins with Calculations

Topic B: Analyze Data with LOD Expressions

 

Lesson 7: Performing Statistical Analysis and Forecasting

Topic A: Perform Statistical Analysis

Topic B: Forecast Data Trends

 

Lesson 8: Creating Geographic Visualizations

Topic A: Create Maps

Topic B: Customize Mapped Data

 

Lesson 9: Getting Answers with Ask and Explain

Topic A: Ask Data

Topic B: Explain Data

 

Appendix A: Multidimensional Data Sources

 

Appendix B: Mapping Course Content to the Tableau Desktop Certified Associate Certification Objectives

 

Appendix C: Mapping Course Content to the Tableau Desktop Specialist Certification Objectives