TABL_DESK_0L2: Tableau Desktop Level 2
About this Course
The advent of cloud computing and storage has ushered in the era of big data. With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain a competitive advantage.
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.
Audience Profile
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 Qualified Associate certification, which requires candidates to pass the Desktop Qualified Associate exam.
At Course Completion
In this course, you will perform advanced data visualization and data blending with Tableau. You will:
- Blend data to visualize relationships.
- Join data.
- Access data in PDFs.
- Refine visualizations with sets and parameters.
- Manipulate data with calculations.
- Visualize data with advanced calculations.
- Perform statistical analysis and forecasting.
- Enrich visualizations, dashboards, and maps.
This Tableau Desktop course is designed to provide you with the skills required to become a Tableau power user. It’s made for the professional who has solid working experience with Tableau and wants to take it to the next level. You should have a deep understanding of all the fundamental concepts of building worksheets and dashboards but may scratch your head when working with more complex issues.
Build a solid foundation in Tableau. This course is for anyone who works with data, regardless of technical or analytical backgrounds. You’ll learn how to navigate the product and examine core concepts and techniques in Tableau. Move from creating visualizations to combining them in interactive dashboards.
Outline
Lesson 1: Blending Data to Visualize Relationships
Topic A: Blend Data
Topic B: Troubleshoot and Refine Data Blends
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 Data to Refine Visualizations
Lesson 5: Manipulating Data with Calculations
Topic A: Create Calculated Fields
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: Enriching Visualizations, Dashboards, and Maps
Topic A: Customize Mapped Data
Topic B: Enhance Visualizations with Tooltips
Topic C: Enhance Dashboards with Actions
Appendix A: Multidimensional Data Sources
Appendix B: Mapping Course Content to the Tableau® Desktop Qualified Associate Certification Objectives
Prerequisites
To ensure your success in this course you should have experience with importing data and creating data visualizations in Tableau.
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.