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