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Aim of this course is to make understand the fundamentals of the statistical inference. Students will receive a broad overview of the goals, assumptions and modes of performing statistical inference. At the end of the course students will be able to perform inferential tasks in highly targeted settings and will be capable to use the skills developed as a roadmap for more complex inferential challenges.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: JHSPH Open

Course Curriculum

Introduction to Inference and Motivating Examples 00:10:00
Probability 01:27:00
Conditional Probability 00:20:00
Expectations 00:15:00
Variability 00:20:00
Common Distributions 00:20:00
Asymptotics 00:30:00
p-Values 00:10:00
Power 00:15:00
Multiple Comparisons 00:20:00
Resampling 00:20:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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