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Course Description

In this course, students will be introduced to basic statistical theory, real-world statistics applications, and statistical test implementations in R. Students will learn the theory behind common statistical tests and how to perform them before moving on to perform statistical analyses using a dataset of their choice. Through this process, students will learn how to select the correct test for a dataset, how to design experiments amenable to statistical analyses, and how to avoid common statistical analysis pitfalls.

Learning Objectives:

  • Use and interpret results of basic statistical tests
  • Select the appropriate statistical test for a given data analytics problem
  • Design experimental procedures with statistics in mind
  • Use R to run basic statistical analyses
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Section Title
Introduction to Statistics
Type
Online Asynchronous
Dates
Jan 10, 2022 to Jan 28, 2022
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout credit (1 units) $350.00
Potential Discount(s)
Available for Credit
1 units
Instructors
  • Amanda Kowalczyk
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