S101: Statistics 101

Close-up of a hand pointing to a financial graph in a document showing analytical data.

Course Overview

CE Hours

3 CE Credits

Course Description

This course provides an introduction to selected important topics in statistical concepts and reasoning. It represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data, and methods for performing inference on population means and proportions via sample data.

Course Learning Objectives

At the end of this course, learners will be able to:

  • Understand and give examples of different types of data
  • Calculate standard normal scores and resulting probabilities
  • Calculate and interpret confidence intervals for population means
  • Calculate the mean, median, mode, maximum, SD, variance, range, IQR, p, t-test, ANOVA, Chi-Square, R, n, bar chart, and Q1 of selected data

Course Format and Faculty

Course Format:

Online linked resources and lectures available anytime, 24/7. Includes one multiple-choice exam taken at the end of the course. A passing grade of 75% is required. Upon passing, learners may print their certificate immediately.

Course Developers and Instructors:

R. Klimes, PhD, MPH (Johns Hopkins University) is a scholar and author in health-related research, health behaviors, ethics, end-of-life care, and overall wellness. He has written numerous research reports and books and has held academic and leadership roles in higher education and public health internationally.

Course Time:

Approximately 3 hours for online study, test taking, course evaluation feedback, and certificate printing.