Overview What You Will Learn Curriculum Instructor

Course Overview

R is a programming language and software environment that is used for statistical analysis, data modeling, graphical representation, and reporting. R is the best tool for software programmers, statisticians, and data miners who are looking forward to manipulating easily and presenting data in compelling ways. 

The course will start with the introduction of R and its installation. Further, you’ll get to know about the fundamentals of R, data frames, how to construct data frames, string manipulation functions, and how to connect to databases. And finally, you’ll learn about Rcpp and web scraping.

By the end of this course, you will be well equipped with the basic knowledge of R programming.

What You Will Learn

  • Master the fundamentals of R programming.
  • Get to know about Dataframes.
  • Discover how to construct a Dataframe.
  • Explore String Manipulation functions.
  • Learn how to connect to SQLite databases and perform operations.
  • Learn about Rcpp and web scraping.

Program Curriculum

  • Installation of R and IDE
  • Working Directory and Packages
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Assignment Operator in R
  • Classes and Data Structures in R
  • c Function and Subsetting Vectors
  • Matrix
  • Chapter 2 Quiz

  • Importing the csv
  • Select Dataframe columns using $ and [
  • Constructing a Dataframe
  • Subset and Filtering a Dataframe
  • Chapter 3 Quiz

  • String Manipulation Functions (nchar and substr)
  • String Manipulation Functions (grep and grepl)
  • String Manipulation Functions (sub and gsub)
  • Chapter 4 Quiz

  • Connecting to SQLite Database Prerequisite
  • Performing Operations on SQLite Database
  • Chapter 5 Quiz

  • Rcpp and Its Advantages
  • Writing Rcpp Functions
  • Introduction to Web Scraping
  • Web Scraping Example
  • Chapter 6 Quiz
Load more modules

Instructor

Ronak Shah

Ronak Shah has been working with R for more than 6 years. He has experience working with base R as well as packages like tidyverse, data.table, rvest, shiny and many others. He works as an R developer. He also likes answering questions on StackOverflow where he has more than 15,000 answers on R language. Apart from coding in R, he loves gardening and listening to podcasts.

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