這是約翰霍普金斯大學提供的教學時程。因此，有部分的資料或是內容對開放式課程的自學者來說或許無法獲得。
教學時程
| SESSION # | 課程主題 | 上課內容 |
|---|---|---|
| 1 | Overview; What Is Statistics? | Lecture |
| 2 | Displaying Data Badly; Data Summaries | Lecture |
| 3 | Experimental Design | Lecture |
| 4 | Observational Studies | Lecture |
| 5 | Probability, Conditional Probability | Lecture |
| 6 | Examples, Bayes's Theorem | Lecture |
| 7 | More Examples | Lecture |
| 8 | Random Variables, Distributions, Binomial, Poisson | Lecture |
| 9 | Normal Distribution, Multiple Random Variables | Lecture |
| 10 | Sampling Distributions; Central Limit Theorem | Lecture |
| 11 | More of the Same | Lecture |
| 12 | Maximum Likelihood Estimation | Lecture |
| 13 | Confidence Interval (CI) for the Mean | Lecture |
| 14 | CIs for Differences Between Means, CI for Population SD |
Lecture |
| 15 | Tests of Hypotheses | Lecture |
| 16 | Tests for Differences Between Means | Lecture |
| 17 | Calculation of Sample Size and Power | Lecture |
| 18 | Permutation Tests and Other Non-Parametric Tests | Lecture |
| 19 | Confidence Interval for a Proportion | Lecture |
| 20 | Uses and Abuses of Tests |
Lecture |
| 21 | Transformations and Outliers | Lecture |
| 22 | Analysis of Gene Expression Microarrays | Lecture |
| 23 | Identifying Essential Genes in M tuberculosis | Lecture |
| 24 | Exam | Lecture |
