Interactive Data Visualization

Brief Description:

This course covers the principles of the visual display of data, both for presentation and analysis.

Instructor(s):
Level: beginning-intermediate

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.

Dates:
April 27, 2012 to May 25, 2012October 26, 2012 to November 23, 2012
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

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Interactive Data Visualization

Aim of Course:

This course is about the interactive exploration of data, and how it is achieved using state-of-the-art data visualization software. Participants will learn to explore a range of different data types and structures. They will learn about various interactive techniques for manipulating and examining the data and producing effective visualizations.

 

The course is very hands-on in terms of the learning process. Participants will be guided through an exploration of quantitative business data to discern meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities.

This course is a core requirement or elective in the following Program(s) in Advanced Statistical Studies (PASS):

• Business Analytics

• Data Mining

• Engineering Statistics

Prerequisite(s):
The equivalent of Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners).
Course Program:

SESSION 1

• Information visualization characterization and history
• Elements of visual perception
• Software introduction and data preparation (merging data, getting started, export)

SESSION 2

• Interaction techniques
• Distribution analysis
• Hands-on visual exploration of business data

SESSION 3

• Time Series
• Multivariate views (scatterplots, parallel coordinate plots, trellising)
• Treemaps for hierarchical data

SESSION 4

• Specialized visualizations
• Video demonstrations of novel techniques
• From visualization to visual analytics

Organization of the Course:

This course takes place over the internet, at statistics.com for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the 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 you will receive individual feedback on your homework answers.

Credit:
Students come to The Institute for a variety of reasons:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Program in Advanced Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.

Course Text:

The required text for this course is Now You See It: Simple Visualization Techniques for Quantitative Analysis by Stephen Few. It can be purchased on Amazon here. Please make sure you have the book prior to the beginning of the course.

Software:

Participants will benefit from being able to implement illustrated techniques in a visualization package. The use of Spotfire is illustrated. For information on obtaining a trial package of Spotfire, click here.

MAC USER:  you must check with the software manufacturer to be sure that the software/capabilities you are interested in are available for the Mac, before registering for this course.

Register Now

Yes, I want to register for:

Interactive Data Visualization

Instructor(s):
Dates:
April 27, 2012 to May 25, 2012October 26, 2012 to November 23, 2012
Course Fee: $499
Academic Discounted Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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