
edXLinear regression is powerful, but real data often demands more. Part 2 of the Statistical Analysis certificate extends your toolkit to binary outcomes, counts, and categorical responses—the messy reality of applied statistics. You'll also tackle hierarchical experimental structures. The course balances theory (why these methods work) with implementation (R programming) and judgment (when to apply what), equipping you to navigate situations where the standard approach doesn't quite fit.
Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate.
This course is directed at people who are already familiar with basic linear regression and fundamentals of statistical inference. It extends the knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up. While very practice oriented, it aims to give the students the understanding of why the method works (theory), how to implement it (programming using R) and when to apply it (and where to look if the particular method is not applicable in the specific situation).
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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.