Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Tableau for Beginners - Analyzing 3 Separate Data Sets
Rating: 4.0 out of 5(53 ratings)
638 students

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!
Created byE R
Last updated 9/2015
English

What you'll 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

Course content

3 sections • 6 lectures • 41m total length

  • Introduction3:46

    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.

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 this course is for:

  • 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.

Report abuse