Introduction to R Programming - A Modern Approach Free Download


Free Download Introduction to R Programming - A Modern Approach, with this course you will have the option to Introduction to fundamentals of R programming - Writing effective, simple, and modern R codes using tidyverse and more. It contains 42 recordings. Remember that numerous understudies are tried out this course Introduction to R Programming - A Modern Approach, so don't hold on to download it presently, it's totally free. You can start learning Introduction to R Programming - A Modern Approach by clicking the download link below.

Before you can start learning from this course explained in English (US) you need to have Simple understanding of data or a data set, Understanding of data in tabular form, Simple algebra.

Introduction to R Programming - A Modern Approach is targeting for people that have interset in Aspiring data scientists, statisticians, or data analyts, Beginner R programming developers curious about data science, Non computer programmers who are willing to learn a fun, useful, and intuitive coding language, Data scientists eager to learn R programming.

Finally you will learn how to Basics of R programming, Data wrangling manipulations, Make use of the tidyverse packages which includes but not limited to purrr, dplyr, ggplot2, etc, Create pipelines using the pipe operator to chain instruction and transform a data frame to another, Transform data frames then pipe them to ggplot for EDA or professional looking graphs, Showcase the importance of a working directory, Teach the fundamentals of R - useful beyond this course, Understanding functions and how to use existing ones or how to create your own, Modern techniques used in R programming by data scientists, Install and load packages such as lubridate, readxl, esquisse, etc, Read and write different types of data, Group and summarize data using the dplyr verbs, Transpose data with dplyr pivoting functions or using the soon to be deprecated gather and spread functions.

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