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This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. This course demonstrates the methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. It also presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests.


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

Lecture 1 What is Statistics 00:10:00
Lecture 2 Displaying Data Badly; Data Summaries 00:10:00
Lecture 3 Experimental Data 00:10:00
Lecture 4 Observations Studies 00:05:00
Lecture 5 Probability, Conditional Probability 00:05:00
Lecture 6 Examples, Bayes’s Theorem 00:05:00
Lecture 8 Random Variables, Distributions, Binomal, Poisson 00:15:00
Lecture 9 Normal Distribution, Multiple Random Variables 00:10:00
Lecture 10 Sampling Distributions; Central Limit Theorem 00:10:00
Lecture 12 Maximum Likelihood Estimation 00:05:00
Lecture 13 Confidence Interval 00:05:00
Lecture 14 CIs for Differences Between Means; CIs for Population SD 00:10:00
Lecture 15 Tests of Hypotheses 00:05:00
Lecture 17 Calculation of Sample Size and Power 00:05:00
Lecture 18 Permutation Tests and Other Non-Parametric Tests 00:05:00
Lecture 19 Confidence Interval for a Proportion 00:05:00
Lecture 20 Uses and Abuses of Tests 00:05:00
Lecture 22 Analysis of Gene Expression Microarrays 00:10:00
Lecture 23 Identifying Essential Genes in M tuberculosis 00:10:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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