![]() Prerequisite: An up-to-date browser is recommended to enable programming directly in a browser-based interface. Reproducible document preparation with R studio.You will learn to apply general programming features like probability, inference, regression, and machine learning are also covered.įinally, the course develops skill sets that include: The course covers R’s functions and data types, then tackle to operate on vectors and when to use advanced functions like sorting. The course is designed to introduce its learners to the basics of R programming. Data Science R Basics Certificate by Harvard University: edX Language(s): Subtitles: Arabic, French, Chinese, Portuguese, Vietnamese, English, Spanish, Japanese. The course also covers practical issues in statistical computing which includes: You will learn to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course introduces you to code in R and how to use R for effective data analysis. R Programming by John Hopkins University: Coursera
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