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Essentials of R Programming

Essentials of R Programming

A comprehensive, hands-on course designed to equip you with the skills needed to analyze and interpret data using R, one of the most powerful programming languages in data science.

Has discount
Expiry period 7 Months
Made in English
Last updated at Tue Jun 2025
Level
Beginner
Total lectures 50
Total quizzes 0
Total duration 00:33:36 Hours
Total enrolment 1
Number of reviews 0
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Short description A comprehensive, hands-on course designed to equip you with the skills needed to analyze and interpret data using R, one of the most powerful programming languages in data science.
Outcomes
  • Gain a solid foundation in R syntax, variables, data types, operators, and control structures.
  • Work confidently with vectors, lists, matrices, data frames, and factors to organize and transform data efficiently.
  • Use R to clean, process, and explore datasets using functions from base R and packages like dplyr, tidyr, and readr.
  • Build informative and visually appealing charts using ggplot2 and other powerful visualization libraries.
  • Develop custom functions to automate repetitive tasks and enhance code modularity and reusability.
  • Analyze datasets and generate insights from practical case studies related to business, health, and public data.
  • Learn how to write clean, readable, and efficient R code following professional coding standards.
  • Use R Markdown to create dynamic reports and reproducible research documents for academic or professional use.
  • Be well-prepared to pursue further learning in statistical modeling, machine learning, and data science using R.
Requirements
  • A computer with internet access (Windows, macOS, or Linux)
  • Basic computer skills ( such as file handling, software installation)
  • No prior programming experience required
  • Willingness to learn and practice regularly
  • R and RStudio installed (guides provided in the course)