At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of its integrated analytics features. In this course, Using Integrated Analytics in Tableau Desktop, you’ll learn how to leverage each of these features to produce deeper, more insightful visualizations. First, you’ll delve into statistics found in the worksheet summary card that form the foundation of data analysis. Next, you’ll discover how to create reference lines, bands, box plots, and confidence intervals and when to use them. Finally, you’ll explore advanced analytics including trend lines, forecasting, and clustering to unearth unseen relationships and predict future events. When you’re finished with this course, you’ll have the skills and knowledge of the integrated analytics features needed to utilize them in your own data analysis. Software required: Tableau Desktop.
Author Name: Ann Jackson
Author Description:
Ann Jackson is an experienced and passionate individual with a rich and extensive background in data visualization, exploratory data analysis, data communication, and business process improvement. She is an expert at taking multiple data sources, finding meaningful connections between them, and communicating out the insight and potential they house. She places a strong emphasis on connecting analytical discoveries with quantifiable business improvements and overall business strategy. Ann is the … more

Table of Contents

• Course Overview
  1min
• Using the Worksheet Summary Card
  9mins
• Adding Reference Lines to Charts
  21mins
• Adding and Using Advanced Statistical Tools
  21mins
• Adding Trend Lines and Forecasts to Charts
  17mins
• Generalizing with Advanced Analytics
  14mins