Learn Data Visualization with Tableau 9.1
4.3 (9 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.
58 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Learn Data Visualization with Tableau 9.1 to your Wishlist.

Add to Wishlist

Learn Data Visualization with Tableau 9.1

Unlock the Value of Big Data and Improve Your Own Earning Potential!
4.3 (9 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.
58 students enrolled
Created by Jay Carroll
Last updated 9/2015
English
Curiosity Sale
Current price: $10 Original price: $25 Discount: 60% off
30-Day Money-Back Guarantee
Includes:
  • 42 mins on-demand video
  • 3 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Setup and configure your own Tableau software development environment
  • Connect Tableau to your data file
  • Become familiar with the terminology used in the tool
  • Create your own data visualizations using a variety of chart type
  • Publish these data visualizations into a dashboard available on the web
  • Find hidden value in your data!
View Curriculum
Requirements
  • This is an introductory course and does not have any learning prerequisites. A basic understanding of Microsoft Excel would be helpful, but not necessary.
Description

Learn Data Visualization with Tableau 9.1 is an introductory course that will enable you to do the following:

  1. Prepare your data for Tableau visualization development;
  2. Deliver a data-driven dashboard using Tableau; and
  3. Expand your skills, make yourself more valuable, and earn more money!

A real-world case study will be used to further illustrate the concepts of Tableau and to provide a foundation for our learning objectives.

Who is the target audience?
  • This course is meant for YOU, if you want to quickly learn how to setup, use, and interact with Tableau
  • This course is meant for YOU, if you have a need to visualize and present data in a compelling manner to your boss, your customers, your students, etc.
  • This course is meant for YOU, if you are looking to expand your skills and, in turn, your earning potential using Tableau
  • This course is NOT for you, if you already have a working knowledge of Tableau 9.0
  • This course is NOT for you, if you are currently using another tool, other than Tableau, for your data visualization needs
Students Who Viewed This Course Also Viewed
Curriculum For This Course
+
Welcome to Learn Data Visualization with Tableau 9.1
2 Lectures 01:31

Introduction of the high-level topics that we will be diving into throughout this course.

Preview 00:58

Overview of my skills and qualifications to teach this course.

Why Learn From Me?
00:33
+
Getting Started with Tableau Data Visualization
3 Lectures 04:36

System requirements, along with software download and installation instruction

Getting the Software
01:14

Points to consider before beginning your work with Tableau

Planning Your Work
01:05

Tips on getting your data ready for building visualizations in Tableau

Preparing Your Data for Tableau
02:17

Section 2 Review
3 questions
+
Learning the Basics of Tableau
3 Lectures 10:40

Step-by-step instruction on connecting our sample data file to Tableau

Preview 04:32

Walk-through of the components that make up the Tableau interface

Tableau Terminology
03:10

Bringing all of the concepts together by creating our first visualization

Preview 02:58

Section 3 Review
4 questions
+
Building Visualization Worksheets
8 Lectures 17:34

Overview of the "Table" visualization type

The “Table” is probably the simplest chart type and is used to organize and display raw data.

Tables
01:23

Overview of the "Bar Chart" visualization type

You'll want to use a bar chart to show comparisons among categories of data

Preview 01:23

Overview of the "Line Chart" visualization type

The key to line charts is that they are used to show trends in data, usually over time

Line Charts
04:38

Overview of the "Area Chart" visualization type

The Area Chart is used to show both trends and volume of data

Area Charts
00:57

Overview of the "Pie Chart" visualization type

The Pie is used to show distribution of a whole data set

Pie Charts
02:01

Overview of the "Map" visualization type

Maps are used to show geographic distribution of data

Maps
03:34

Overview of the "Tree Map" visualization type

Tree maps are used to compare relative proportions in data

Preview 02:23

Overview of the "Circle" visualization type

Circles are very similar to tree maps, and used to compare relative proportions in data

Circles
01:15

Section 4 Review
4 questions
+
Assembling Dashboards
1 Lecture 07:09

Section 5 Review
3 questions
+
Learning More About Tableau
3 Lectures 03:36
More Advanced Topics
01:57

Tips for staying on track with your Tableau Development
01:15

Key Resources
00:23
About the Instructor
Jay Carroll
4.3 Average rating
9 Reviews
58 Students
1 Course
Experienced Business Intelligence Professional

Greetings! My name is Jay and, as an instructor, I have 2 main objectives:

1) to build your skills in the areas of data visualization and analytics; and

2) to help you improve your earning potential

I have 20 years of experience in information technology, with the last 10 working in leadership roles in business intelligence and data warehousing initiatives for large corporations across various industries.

While relatively new to the teaching space, I seek to share my real-world expertise with you to help you unlock the hidden value in your organization's data by teaching you how to use leading tools. My courses include business-relevant case studies and examples to help reinforce the lessons and to more quickly allow you to apply these skills to your particular situation.