Foundation of Statistics
Start Date: May 10, 2017
End Date: June 28, 2017
Start Date: August 22, 2017
End Date: October 9, 2017
The Foundation of Statistics is one of four non-credit courses in the Certification in Practice of Data Analytics (CPDA) program. The course is taught by faculty from the department of Statistics at The Ohio State University. The course is delivered in 100% distance learning format and includes instructional material equivalent to approximately one semester credit hour. This is equates to around 40 hours of course work including 12-13 hours of instruction.
This course can be taken individually, or as part of the four courses required to receive the CPDA certificate of completion. It is strongly recommended that participants who take the Foundations of Statistics first, followed by Data Mining. Machine Learning or Visualization Analytics and Sensemaking can follow in any order.
Introduction to statistics includes; a short discussion of where data comes from; data exploration; probability and random variables; the basics of statistical inference (e.g., sampling and inferring upon population parameters using statistics); testing statistical hypotheses and building confidence intervals; and an introduction to regression. Students will use the R software package in this course.
4 CEUs are granted upon successful completion of the course.
It is strongly recommended that participants have taken at least one course in college level algebra prior to taking this course. Students will be required to learn the R software package prior to starting the course (www.r-project.org).
Free training in R software that will prepare you for this course can be found online at:
or, Free 10 day trail or low cost training also at:
Search for "Up and Running with R"
You will learn to:
- Describe data graphically and numerically using statistical software
- Explain basic concepts of probability and random variables
- Recognize how data can be used to infer features of probability distributions
- Test for consistency of data with particular values of parameters
- Estimate parameter values and quantify uncertainty in the estimate
- Interpret linear association
Click Here to learn more about how this course is delivered 100% online!
Cancellations and Refunds
A full refund minus a $50 administrative fee will be made if cancellation is received three weeks prior to the start of the course. No refunds within three weeks of the course start date.