Tableau for Beginners - Analyzing 3 Separate Data Sets
4.0 (41 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
580 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Tableau for Beginners - Analyzing 3 Separate Data Sets to your Wishlist.

Add to Wishlist

Tableau for Beginners - Analyzing 3 Separate Data Sets

Walkthrough analysis of 3 data sets, each utilizing different tools (think maps, sets, etc) and unearthing neat trends!
4.0 (41 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
580 students enrolled
Created by Erik Rood
Last updated 7/2015
English
Current price: $10 Original price: $25 Discount: 60% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 41 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Download and install Tableau
  • Import external data into Tableau
  • Analyze data creating Bar Charts, Packed Bubble Charts, Scatterplots, and Text Tables
  • Present data using the Dashboard feature in Tableau
  • Convert data type to a geographical property and present a map
  • Create Sets and compare them against each other
  • Create trendlines to determine if there is a significant correlation between two variables
View Curriculum
Requirements
  • You won't need any materials, but you can download Tableau Public for free and practice with me!
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
Who is the target audience?
  • 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 analysis using different data sources to highlight the software's functionality.
Students Who Viewed This Course Also Viewed
Curriculum For This Course
+
Introduction: Tableau Background, Examples, and Importance
1 Lecture 03:46

In this lecture, I will give you a brief background on my work with Tableau, and show you some end-result functionality that the program offers. I'll also briefly discuss the importance of learning data analysis with Tableau. After this lecture, you'll have a better understanding of the possible uses and values for this software.

Preview 03:46
+
Introduction to Tableau (analyzing our first dataset)
4 Lectures 34:01

Here I will show you how to download the software, and discuss the differences between Tableau Public and Tableau Desktop. Feel free to skip ahead to the analysis sections if you already have the software downloaded!

Installing Tableau
01:50

In this section you will learn to:

  • —Create a Bar Chart with color shading
  • —Create a Dashboard for presenting information
  • Create a Text Table and format shading
  • —Create a Packed Bubble chart and filter Top 10 by field values
Creating Bar & Packed Bubble Charts with McDonald's Nutritional Data
14:44

In this section you will learn to:
  • ——Create map by converting field to geographic property
  • ——Add shading onto map using built-in Tableau data
Preview 06:49

In this section you will learn to:

  • —Create scatterplot and use trend lines to assess correlation
  • —Create Sets and compare against each other using the Dashboard
Creating Sets and Scatterplots Using College Cost Data
10:38
+
Conclusion
1 Lecture 03:18

A wrap-up of the topics covered, resources/sugestions for future learning, and my contact information!

Conclusion/Further Learning/My Contact Info
03:18
About the Instructor
Erik Rood
4.0 Average rating
151 Reviews
1,633 Students
5 Courses
Analyst at Google

Hi! My name is Erik. I currently work as an analyst at Google. I have a strong interest in data visualization and analysis, so the content I publish here will be more or less related to that.

Feel free to reach out via email with any questions, hope you find the courses useful!