Statistical Inference in R

This Track is built using the R programming language. It is recommended that learners already have some experience with the fundamentals of R prior to starting the Track.

This Track is beneficial for any job that requires a basic understanding of statistical inference. This includes jobs in data analytics, machine learning, and data science.

This Track is designed to provide users with a deep understanding of the core principles of statistical inference. Learners will be able to interpret and tune their statistical and machine learning models, in addition to developing new skills related to data analysis.

This Track usually takes 16 hours to complete, as it consists of several courses that significantly upskill users.

A skill track is designed to develop a specific set of skills that learners can use in a variety of areas. A career track is focused on helping learners achieve a specific career goal, such as a job in data analysis or machine learning.

This Track consists of four courses: Foundations of Inference in R, Inference for Linear Regression in R, Inference for Numerical Data in R, and Inference for Categorical Data in R.

This Track is a skills Track, designed to help learners develop a core set of skills related to statistical inference.