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Location
UM Bannatyne: Chown Building: Room 207, Brodie Centre: Room-405
Address:
Please note that previous introductory experience with R, and experience with basic statistical ideas, is required for this workshop.
Description:
This 3-day hands-on and in-person workshop, presented by CHI’s Data Science platform, will show you how to do basic statistical analyses using R. We will be emphasizing intuition over math as we review key statistical concepts and how they relate to the most commonly used basic statistical methods: t-tests, chi-square tests, linear and logistic regression analyses. More advanced methods may be introduced, including: multiple regression and analysis of variance.
Previous introductory experience with R, and experience with basic statistical ideas, is required for this workshop. To register for our “R for Absolute Beginners” workshop, click here. Contact the instructors before registering if you have not taken our R for Absolute Beginners workshop (or some equivalent).
Sessions will be held from 9am to 12pm (CT) on Monday, Oct 21st; Wednesday, Oct 23rd, and Friday, Oct 25th.
Locations
Monday, Oct 21st – Chown, Room 207
Wednesday, Oct 23rd – Chown, Room 207
Friday, Oct 25th – Brodie, Room 405 *Note change*
Learning Objectives:
At the conclusion of this workshop the participant will have:
- Ability to conduct basic statistical analyses of your own data using R.
- Increased understanding of how and when to apply different statistical methods.
- Greater comfort interpreting statistical results and checking their assumptions.
- Greater appreciation for situations where more advanced techniques might be appropriate
Cost:
$50.00 – Academic trainees and students (post-docs included), $150.00 – Non-profit organizations staff, $300.00 – Industry professionals
Contact Information:
For more information, please click here to email Robert Balshaw.
Registration Cancellation Policy:
A registration refund will be made upon written request on or before October 14th. A $35 administrative fee will be retained. No refunds will be made for cancellations after this date.
