Course Overview

This course introduces the student to the foundations of statistical concepts. Topics include organizing data, measures of central tendency, probability, sampling, and statistical hypothesis testing. The course is taught conceptually with minimal emphasis on the mathematical derivation of the formulas.

Note: This course is offered 3 times each semester. It can be taken over a full semester or during one of our accelerated 6-week terms.

  Semester Start Semester End
Summer 2023 Traditional (DL) May 30, 2023 August 21, 2023
Summer 2023 Intensive A (DL2) May 30, 2023 July 10, 2023
Summer 2023 Intensive B (DL3) July 11, 2023 August 21, 2023
Fall 2023 Traditional (DL) September 5, 2023 December 12, 2023
Fall 2023 Intensive A (DL2) September 5, 2023 October 23, 2023
Fall 2023 Intensive B (DL3) October 24, 2023 December 12, 2023


If you are attempting to register for an intensive B section, please use this form. If you have any questions, please reach out to us at ihpnondegree [at] mghihp.edu.

Type Lecture


Perman Gochyyev, PhD


3 undergraduate


Online Self-Paced




$1,620.00 (Fees included)

What to Expect in this Course

This course is fully asynchronous – there are no required meeting times.

Course activities are organized into modules that are usually 1 week in length. 

Our format allows flexibility so you can fit the learning activities into your own schedule. 

While instructors make regular course updates to enhance your experience as a learner, the table below provides a general idea of what you can expect from a typical week. 

Course Activity Hours Per Week

Self Directed Learning

  • Reading textbooks, articles
  • Watching mini-lectures, videos
  • Listening to podcasts


  • Mini quizzes
  • Practice problems
  • Weekly modules

Other Assignments

  • Written papers
  • Case studies
  • Practical assignments

Discussion Boards

  • Initial posting
  • Reading posts
  • Responding to peer posts
Total Time 10-15
  • Defining variables related to the health professions
  • Designations of scales, including nominal, ordinal, interval, and scale
  • Basis of hypothesis testing
  • Entering, navigating, and processing data through SPSS software
  • Generating descriptive statistics and measures of central tendencies
  • Describing data distributions in terms of mode, symmetry, and skew
  • The measure of variability and standard deviation
  • Establishing positive and negative correlation using Pearson’s r test
  • Comparing groups means using t-Tests and ANOVA analysis
  • Using repeated-measures ANOVA to evaluate longitudinal data
  • Non-parametric tests including binomials and crosstab analyses
  • Reporting statistics in APA style

Course Materials

D2L Required
Textbook Not needed
Lab Kit / Supplies Not needed
Web-Based Learning Application Required
Standard word/ data processing capabilities Required
Ability to Video conference Recommended
Ability to upload images/videos Not needed

D2L: All of our online prerequisite courses use the learning platform software called Desire2Learn (D2L). D2L integrates text, video, and audio. You can check your system compatibility by reviewing the D2L system recommendations.

Textbook: If a textbook is required, every effort is made to choose high-quality, low-cost materials that students can buy and sell, rent and return, or buy and use again in future courses.

Lab Kit / Supplies: Lab kits/supplies allow students to conduct hands-on experiments at home. Information about ordering lab kits and/or supplies will be provided to registered students approximately 6 weeks before the start of the semester.

Web-Based Learning Application: Web-based applications often serve as an alternative to a traditional textbook or lab kit. Most require students to register for a separate application that will integrate seamlessly with the D2L platform.

Standard word and data processing: Technology that allows the student to create, edit, and save documents and files.

Ability to videoconference: Technology that allows live, visual connection between individuals who are in different locations.

Ability to upload photos/videos: Technological capabilities through which a student could record a short video or still image and upload it to an online learning system.

Course Faculty

Perman Gochyyev, PhD

Assistant Professor Healthcare Data Analytics

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