Filter by Topic
Filter by Vendor
Free
Tableau Desktop Fundamentals (TTDTAB006)
Tableau Desktop Fundamentals is a two-day, hands-on course designed for …
What you'll learn
Connect to your data, and Edit and save a data source.
Understand Tableau terminology.
Connect to your data, and Edit and save a data source.
Use the Tableau interface / paradigm to effectively create powerful visualizations.
Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
Represent your data using the following visualization types: Cross Tabs, Geographic Maps, Heat Maps, Distribution Charts, Tree Maps, Pie Charts and Bar Charts, Dual Axis and Combo Charts with different mark types, Box Plots, Highlight Tables, Scatter Plots
Use Reference Lines to highlight elements of your data.
Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
Handle changes in your data source such as field addition, deletion or name changes.
Share your visualizations with others.
Combine your visualizations into Interactive Dashboards and publish them to the web.
Free
Tableau Desktop (TTDTAB007)
Geared for experienced Tableau, Tableau Desktop II / Intermediate Tableau …
What you'll learn
Use next-level features within the Tableau interface / paradigm to effectively create powerful, advanced level visualizations
Create advanced calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
Use groups, bins, hierarchies, sorts, sets, and filters to create focused, effective and advanced -level visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions
Share visualizations with others, combining visualizations into Interactive Dashboards and publish them to the web
Represent data visualization (emphasizing advanced skill areas only):
Cross tabs; Heat maps; Distribution charts; Tree maps; Pie charts and bar charts; Dual axis and combo charts with different mark types; Box plots; Highlight tables; Scatter plots
