Master the Basics of R Programming from Scratch — Udemy course thumbnail

Course guide · Sharad Khare

Master the Basics of R Programming from Scratch

Start R programming from zero — syntax, data structures, and foundational analytics skills.

English 7 hours 21+ learners 5.0 on Udemy
  • R
  • Statistics
  • Programming

Videos stream on Udemy. This page is the full on-site guide — overview, audience, prerequisites, and learning outcomes — written by Sharad Khare.

Overview

R remains essential in statistics, research, and many analytics teams. Starting from zero, you learn R syntax, vectors, data frames, basic plotting, and introductory statistics functions — giving you a second language alongside Python for roles that expect both.

What you will learn

  • RStudio workflow, scripts, and the console
  • Vectors, factors, lists, and data frame manipulation
  • Importing CSV and Excel data with readr/readxl patterns
  • Base R plotting and ggplot2 introduction
  • Summary statistics, tables, and simple hypothesis tests
  • Writing readable R scripts others can reproduce

Who this course is for

Statistics students, researchers, and Python analysts expanding their toolkit.

Prerequisites

None, though prior programming in any language accelerates progress.

How enrollment works

Sharad Khare hosts structured video lessons on Udemy for convenient playback, progress tracking, and certificates. Use the button above to open the official course page. Pricing and promotions are set by Udemy. Many learners pair video lessons with the free note packs on this site’s Notes page for offline review.

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