Tableau for Beginners - Analyzing 3 Separate Data Sets
- 3.9
-
![]()
![]()
![]()
![]()
Brief Introduction
Walkthrough analysis of 3 data sets, each utilizing different tools (think maps, sets, etc) and unearthing neat trends!Description
Tableau is a rapidly growing data visualization and analysis software application. Developing this skill set early will give you a differentiated advantage in searching for jobs and displaying data you may currently work with.
This Tableau course is meant for anyone looking to get an overview displaying the software's capability. I will be working with different types of data to show you when and how to use the different views Tableau offers, including Maps, Bubble Charts, Scatter Plots, and Bar Charts. I will walk through 3 separate analyses using different data sources to highlight the software's functionality.
Here is an outline of the course:
Lecture 1: Background
- —Tableau great for clean & easy data visualization, defaults to best practice options, works well with large bodies of data
Lecture 2: Installing Tableau
- —Program installation
- —Tableau Public & Tableau Desktop
Lecture 3: Creating Bar & Packed Bubble Charts with McDonald's Nutritional Data
- —Create Bar Chart with color shading
- —Create Packed Bubble chart and filter Top 10 by field values
- —Create Text Table and format shading
- —Create Dashboard for presenting information
Lecture 4: Creating a Map Using U.S. Census Data
- —Create map by converting field to geographic property
- —Add shading onto map using built-in Tableau data
Lecture 5: Creating Sets & Scatter Plots Using College Cost Data
- —Create scatterplot and use trend lines to assess correlation
- —Create Sets and compare against each other using the Dashboard
Requirements
- Requirements
- You won't need any materials, but you can download Tableau Public for free and practice with me!
Erik Rood
3.9 Raiting
Tableau for Beginners - Analyzing 3 Separate Data Sets
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Walkthrough analysis of 3 data sets, each utilizing different tools (think maps, sets, etc) and unearthing neat trends! Tableau is a rapidly growing data visualization and analysis software application....
