With the intensive modules in the course, you will learn the complete overview of R Programming. You will be able to gain working knowledge of the programming language by the end of this course. The basics of the programming language to working on vectors, sequences, arrays, etc… are discussed in detail.
- Create and master the manipulation of vectors, lists, data frames, and matrices
- Write conditional control structures, and debug and handle errors for efficient error handling
- See how to use the apply family of functions and write functions used within the apply function
- Handle dates using lubricate and manipulate strings with stringer package
- Melt, reshape, aggregate, and cross-tabulated with the cast of data frames
- Make and customize various types of charts in base graphics for exceptional data representation
- Perform univariate and bivariate analysis and do statistical tests
- Work with databases without having to write SQL using the dplyr package
- Write readable and expressive code using pipes from Magritte and dplyr’s verbs
- Perform efficient, high-speed data munging with data.table
- Work on a full-scale data analysis/data munging project
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