Course overview
In this course, you’ll learn how to employ quick table calculations, add secondary table calculations, and write custom advanced calculations. You’ll also learn the various levels of data granularity as well as the aggregation methodology to write LOD expressions (level of detail).
You’ll learn to make your dashboards interactive using sets, parameters, viz in tooltip and other elements — and you’ll also learn to improve their readability by adding and configuring trend lines, reference bands, and distributions.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
Key skills
- Using Tableau’s key features to create interactive, data-driven reports
- Advanced table calculations for data analysis
- Analyzing data using reference lines and bands
- Dynamic filtering through parameters
Course outline
Visual Analytics in Tableau [4 lessons]
Table Calculations 1h
Lesson Objectives- Transform data using table calculations
- Apply and configure quick table calculations
- Write advanced custom calculations
Level of Detail Expressions 1h
Lesson Objectives- Explain the level of granularity and aggregation methods
- Employ the level of detail expressions FIXED, INCLUDE, and EXCLUDE
- Identify level of detail filtering order
Dynamic Design and Interactivity 1h
Lesson Objectives- Employ parametric actions to enable interactivity
- Design and format viz in tooltip
- Employ dynamic filtering through parameters
The Analytics Pane 1h
Lesson Objectives- Add summarizing elements to a visualization
- Add reference lines and bands to a visualization
- Visualize the distribution of the data
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