edX
edXBasics of Statistical Inference and Modelling Using R
159 studentsINTERMEDIATEEnglish
Korshub's take
Statistics made accessible for real-world analysts
This first course in the Statistical Analysis in R series assumes no background—but doesn't stay there. Each method is explained three ways: the theory (why it works), the implementation (how to code it in R), and the judgment call (when to use it and what to do when it doesn't fit). The result is practical competence combined with conceptual understanding, so you're not just running tests—you're choosing them wisely.
Perfect for anyone new to data analysis or brushing up on fundamentals. Sets the foundation for more advanced statistical modeling work.
About this course
Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate.
This course is directed at people with limited statistical background and no practical experience, who have to do data analysis, as well as those who are “out of practice”. 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).
Price
$309
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