Using Integrated Analytics in Tableau Desktop

Tableau Desktop is a popular data visualization and analysis tool. In this course, you'll learn how to create and use reference lines, trend lines, forecast time series, and use cluster analysis. You'll also learn the statistics behind the features.
Course info
Rating
(10)
Level
Beginner
Updated
Dec 20, 2018
Duration
1h 26m
Table of contents
Description
Course info
Rating
(10)
Level
Beginner
Updated
Dec 20, 2018
Duration
1h 26m
Description

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.

About the author
About the author

Ann Jackson is a Tableau Zen Master and analytics evangelist at the consulting firm, Jackson Two. Ann is known for her clean design, analytical displays, and commitment to the data community.

Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Ann Jackson, and welcome to my course, Using Integrated Analytics in Tableau Desktop. I am an analytics evangelist at Jackson Two, a consulting firm that specializes in data analytics. Tableau Desktop is a highly regarded visualization and analysis tool. It gives users the flexibility and power to quickly explore data and includes powerful integrated analytics, allowing users to derive deep insights by creating trend lines, forecasting time series, and performing cluster analysis. In this course, we are going to review important statistical concepts and learn how to use all the integrated analytics features included in the Analytics pane. Some of the major topics that we will cover include foundational and specialized statistics used for data analysis, how to add and use reference lines and bands, building box plots and understanding confidence intervals, creating and interpreting trend lines and forecasts, and use cases for cluster analysis. By the end of this course, you'll know how and when to wield each of these analytical tools and possess the skills and knowledge to apply them to your own analysis. Before beginning the course, you should be familiar with fundamental statistics and key Tableau Desktop concepts including field types, creating charts, and working in the Tableau Desktop interface. I hope you'll join me on this journey to learn about new and deeper ways to analyze and visualize data with the Using Integrated Analytics in Tableau Desktop course, at Pluralsight.