Statistics
Online Statistics courses from independent instructors.
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Statistics courses teach you to summarize data, measure uncertainty and draw conclusions that hold up. They're essential for data analysts and scientists, researchers, students in many degree programs, and professionals who need to interpret surveys, experiments or A/B tests.
Descriptive statistics modules cover mean, median, mode, variance, standard deviation, percentiles and visualizing distributions with histograms and box plots. Probability lessons introduce events, conditional probability, Bayes' theorem and random variables, followed by common distributions such as binomial, Poisson and normal, and the central limit theorem.
Inferential statistics covers sampling methods, standard error, confidence intervals, hypothesis testing with t-tests, chi-square tests and ANOVA, p-values and their limitations, statistical power and effect size. Regression modules cover correlation, simple and multiple linear regression, logistic regression and checking model assumptions. Many courses also discuss experimental design and the difference between correlation and causation.
Courses vary in how much math they use and which software they teach with — spreadsheets, a statistics package, R or Python. Choose based on your goal and comfort with formulas, and look for worked examples tied to real questions.
Choosing a statistics course
- Decide whether you need conceptual understanding, exam preparation or applied analysis skills.
- Check which software the course uses, if any, and whether you have access to it.
- Look for worked examples with real data and step-by-step explanations.
- Make sure interpreting results — not just calculating them — is emphasized.
- Watch a free preview to see whether the instructor's math level suits you.
Questions about statistics
Do I need to be good at math to learn statistics?
Algebra helps, but many applied courses focus on concepts and software rather than proofs. More theoretical courses require stronger math.
What's the difference between descriptive and inferential statistics?
Descriptive statistics summarize the data you have. Inferential statistics use a sample to draw conclusions about a larger population, with a measure of uncertainty.
Can a statistics course help with my university class?
Many learners use online courses alongside formal classes. Check that the topics and software match your syllabus.