Data analysis with Tableau (with 3 downloadable datasets)
4.0 (67 ratings)
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Data analysis with Tableau (with 3 downloadable datasets)

Analysis of 3 data sets covering a breadth of Tableau features. Data is available for download and follow along!
4.0 (67 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.
416 students enrolled
Created by Erik Rood
Last updated 10/2015
English
Curiosity Sale
Current price: $10 Original price: $25 Discount: 60% off
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Includes:
  • 1 hour on-demand video
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • View data with an analytical lense
  • Create core visualizations in Tableau (bar, line, map, story line, table, heat map)
  • Download + install Tableau
  • Load external data into Tableau
View Curriculum
Requirements
  • You won't need any materials, but you can download Tableau Public for free as well as the datasets I'm using to walk through the lectures with me!
Description

In this course I will make all of the datasets publicly available to encourage students to walk through the actual analysis with me! Links to each set will be provided at the beginning of each section (**links to the datasets are located in lectures 3, 7, and 11**)

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, Parameters, Calculated Fields, Bar Charts, Line Charts, and Tables (with heat map variations). I will walk through 3 separate analyses using different data sources to highlight the software's functionality.

Who is the target audience?
  • Anyone interested in getting their feet wet with data analytics, and branching beyond MS Excel
  • Course is primarily targeted for beginners, though intermediate will likely pick up a few tips
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Curriculum For This Course
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Welcome!
2 Lectures 07:20

My background, high-level course offerings, and target audience.

Preview 05:30

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!
Preview 01:50
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Visualizing our first dataset! (Price is Right game show statistics)
4 Lectures 13:20

Link to shared drive folder containing the publicly available data, download if you want to analyze with me!

Dataset location (for those who want to follow along!)
1 page

We'll be analyzing data from the game show "The Price is Right". In this lecture I show you where I got the data source, and how to load it into Tableau.

Preview 01:44

In this lecture I highlight the best and worst game types and seasons by win % for the Price is Right. (Bar charts, formatting axes, coloring charts, labels)

Bar charts to pick the best game types and seasons
06:58

Creating a heat map of game types and win %'s to see when I'd be most/least likely to win. (Tableau table, coloring labels, formatting labels, displaying multidimensional data cleanly, winning The Price is Right)

Creating a heat map table of all game types and seasons
04:38
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Exponential decay of popular caffeine beverages
4 Lectures 16:22
Link to shared drive folder containing the publicly available data, download if you want to analyze with me!
The data!!
1 page

Showing you the data source, the logic behind the exponential decay formula, and how to load into Tableau

Preview 03:00

I'll show you how to plot out exponential decay of multiple caffeinated beverages on the same chart (a tricky task in Tableau), and I'll also show you how to implement an unconventional date parameter (hours passed since caffeine consumption) by tricking Tableau using the date field.

(multiple measures on same axis, modifying date field to suit our needs, line chart, basic formatting)

Creating our interactive chart with multiple measures on a single axis
06:54

In this lecture I show you how to create your own tool that calculates how long a given caffeine value will remain in someone's system X hours after consumption.

(user parameters, calculated fields, line chart, pairing parameters and measures, learning exactly what insane amounts of caffeine you may have in you at any given time)

Creating a tool to determine exponential decay of any caffeine value
06:28
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Simple storyline by mapping Home Depot and Lowe's store locations
3 Lectures 10:39
Link to shared drive folder containing the publicly available data, download if you want to analyze with me!
The data!
1 page

Showing you how to use Tableau's built in geographic capabilities to quickly map out cities!

(maps)

Creating the maps
07:38

Showing you how to tell a story with your data! (through Tableau's story line feature)

Creating the story line
03:01
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Share your brilliance!
1 Lecture 03:20

Exploring Tableau Public profiles, embedding our awesome work into a website, and sharing our profile through links.

Save your data and share it (embedding into website, sharing Tableau profile)
03:20
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Wrap Up
1 Lecture 03:07

Giving you some valuable references for further learning & my contact information

Further resources, my contact info
03:07
About the Instructor
Erik Rood
3.9 Average rating
153 Reviews
1,651 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!