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R for Beginners

R for Beginners

R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up. Nowadays, R is easier to learn than ever thanks to the tidyverse collection of packages.

What you'll learn

  • Install R and RStudio and create R script and be able to save your work in R project
  • Be able to differentiate between different R data structures such as: string, number, vector, matrix, data frame, factor, date and time object, and many more
  • Be able to access elements from R objects, and be able to reshape R objects
  • Write R program for executing repetitive tasks using loops and vectorized code
  • Write your own user defined functions and create simulations inside R environment
  • Visualize your data using base R graphics

Learning that gets you

Description

Are you one of the people that would like to start a data science career or are you just fond of using data for data analysis in your spare time or for your job?  Do you use spreadsheets for data cleaning, wrangling, visualization, and data analysis? I think it is time to enhance your hobby or your career path with learning adequate skills such as R.

R is s a programming language that enables all essential steps when you are dealing with data like:

  • importing,
  • exporting,
  • cleaning,
  • merging,
  • transforming,
  • analyzing,
  • visualizing,
  • and extracting insights from the data.

Originally R began as a free software environment for statistical computing with graphics supported. Over the years with the rapid development of computing power and the need for tools used for mining and analyzing tons of data that are being generated on every step of our lives, R has emerged into something much greater than its original laid path. Nowadays the R community is vast, every day thousands of people start learning R, and every day new R's libraries are being made and released to the world. These libraries solve different users' needs because they provide different functions for dealing with all kinds of data.

Views Bestseller -- > Learn R By Intensive Practice

But for now, the most important things to learn R as fast as possible are:

  • 1) Use the tools pros actually use (dplyr, ggplot, tidyverse.)
  • 2) Create muscle memory for the commands you use. Never ever ever copy and paste commands you're trying to learn.
  • 3) Use Scientifically Proven memorization techniques.

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