
edXThis course connects foundational probability concepts with real-world data analysis. You'll master both the mathematics—discrete and continuous variables, limiting theorems—and the practical tools for interpreting datasets. The R software component ensures you're not just learning theory; you're applying statistical techniques to actual problems, from hypothesis testing to regression modeling. Ideal for anyone bridging abstract probability and concrete data.
Use discrete and continuous random variables and understand how they interact. ,Deal with conditional probabilities and conditional distributions. ,Obtain understanding into some limiting results, in particular the Central Limit Theorem. ,Make and interpret numerical and graphical summaries of datasets and find the connection to concepts from probability theory. ,Several techniques to find estimators and assess their quality. ,Perform inferential statistics: hypothesis testing, confidence intervals and linear regression, also in non-standard situations. ,Use the R software package to apply all these statistical techniques on real datasets.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.