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   Courses> Effective Graphic Presentations

Creating Effective Graphic Presentations

Begins July 10th 2015

Aim of the Course: This 2-week course will show you how to use R to create more effective graphic presentations.

Who Should Take This Course:
Anyone who wants to enhance their articles or presentations, oral or written, with graphs and charts

Instructor:
Dr. Phillip Good, former Calloway Professor of Computer Science at the University of Georgia (Fort Valley) and graduate of the program in mathematical statistics at UC Berkeley, is the author of Introduction to Statistics via Resampling Methods and R/Excel (Wiley, 2005), Common Errors in Statistics (and How to Avoid Them) (Wiley, 2nd ed., 2006 with James Hardin), Resampling Methods (Birkhauser, 2nd ed, 2005), Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer, 3rd ed, 2004), Manager's Guide to Design and Conduct of Clinical Trials (Wiley, 2nd ed, 2005), and Applying Statistics in the Courtroom (CRC, 2001). He has given tutorials at the Joint Statistical Meetings (U.S.) and Deming Conference,
lectured in Australia, Belgium, Bulgaria, France, Holland, Ireland, Slovenia, and Spain, and was a traveling lecturer for the American Statistical Association. This is his eighth (8th) year of providing on-line interactive courses. 

Prerequisite: Prerequisite: You should have familiarity with basic statistical concepts.  You should have some familiarity with Excel or with R (as in Introduction to R). 

Organization of the Course: The course takes place over the Internet.  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 an alias and access to a private bulletin board that serves as a forum for discussion of ideas, problem solving, and interaction with the instructor. The course is scheduled to take place over two weeks. Estimated weekly time requirements for this course - an hour and a half to two hours for the lecture, and another three hours for homework and review.  At the beginning of each week, participants receive the relevant material, in addition to answers to exercises from the previous session. During the week, participants are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Optional Texts: Participants may wish to purchase and make use of Introduction to Statistics via Resampling Methods and R, Introduction to Statistics via Resampling Methods and Microsoft Excel, and/or Common Errors in Statistics (and How to Avoid Them) and/or R Graphics.

  1. Session I: Eleven Rules for More Effective Graphs

     

    Text elements

    Subgroups

    Pie Charts'

    3-D Graphs

    Multi-dimensional displays

     

    Text, table, or Graph

     

    Oral Presentations

     

  2. Session 2: Advanced Graphic Methods

Color

Plotting residuals 

Plots with multiple lines

Side-by-side plots

 

Software essentials 

One week is allowed after Session 2 to give participants the opportunity to clarify any questions arising from this or previous sessions.

Full cost of course is $165.  Early bird discount may apply. Government employees, students, faculty and research workers at academic and research institutions are eligible for a further discount of $35.  Just send an email to courses@statcourse.com from your institution or government email account to receive a discount coupon. No refunds after the start of course.

Immediately after your payment is credited, you will receive an email giving you a password, sign up instructions, and the web address (URL) of the course material.  Note that you will not be able to access this address until the start date of the course.  

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