"Interactive Data Visualization" taught by Dr. Catherine Plaisant or Dr. Galit Shmueli - 4 week online course - 10/25/13 to 11/22/13

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Price: $499.00    

Product Feature

• Taught by Dr. Catherine Plaisant or Dr. Galit Shmueli, world renowned experts, who will be available throughout course to answer questions and lead discussions
• 4 week course: 10/25/13 to 11/22/13
• Work from any computer, at any time during the course
• No set times when you are required to be online
• Course consists of discussion forum with instructor, homework with individual feedback, guided readings and interactive lessons.

Product Description

Aim of the Course:

To learn various techniques for producing effective visualizations to manipulate, examine, and analyze multivariate data using state-of-the-art software.

Prerequisite:

Introductory statistics

Who Should Take This Course:

Statistical analysts and data miners who need to explore and graph multivariate data, either to form impressions of the data or as a preliminary step to performing statistical tests or building models.

Syllabus:

SESSION 1: Data Merge and Prep

SESSION 2: Analyzing Distribution and Interaction

SESSION 3: Time Series, Scatterplots, Parallel Coordinate Plots, Tree Maps

SESSION 4: Visual Analytics

Required Text:

Please purchase Now You See It, by Stephen Few at http://www.amazon.com/Now-You-See-Visualization-Quantitative/dp/0970601980/

Software:

Spotfire (you'll be granted access in the course)

Course Organization:

The course takes place online at the Institute for 4 weeks. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and instructor.

Typically requires 15 hours per week. Beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

"Interactive Data Visualization" taught by Dr. Catherine Plaisant or Dr. Galit Shmueli - 4 week online course - 10/25/13 to 11/22/13 Review

This course provided me great insights and several techniques to create better and more reliable presentations; also the use of Spotfire was indeed a pleasure. The course structure is well balanced between readings and hands on exercises and the pace is perfect. Now I am able to "read" presentations and charts with a critical eye.

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