Udemy

R Programming for Data Science

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  • 1,351 Students
  • Updated 11/2025
  • Certificate Available
4.5
(79 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 44 Minute(s)
Language
English
Taught by
Syed Mohiuddin
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.5
(79 Ratings)
2 views

Course Overview

R Programming for Data Science

Learn R Programming Fundamentals, Data Wrangling, Data Visualization for Data Science

Welcome to this course of R Programming for Beginners with the hands-on tutorial, and become an R Professional which is one of the most favoured skills, that employer's need.

Whether you are new to programming or have never programmed before in R Language, this course is for you! This course covers the R Programming from scratch. This course is self-paced. There is no need to rush - you learn on your own schedule. 

R programming language iѕ one of the best open-source programming language and more powerful than other programming languages. It iѕ well documented and has a clean syntax and quite еаѕу tо lеаrn.

This course will help anyone who wants to start a саrееr in Data Science and Machine Lеаrning. You need to have basic undеrѕtаnding оf R Programming to become a Data Scientist or Data Analyst.

This course begins with the introduction to R course that will help you write R code in no time. Then we help you with the installation of R and RStudio on your computer and setting up the programming environment. This course will provide you with everything you need to know about the basics of R Programming.

In this course we will cover the following topics:

  • Basics of R Programming including Operators

  • Fundamentals of R Programming

  • Vectors, Matrices, Lists

  • Data Frames

  • Importing Data in Data Frames using Text and CSV files

  • Data Wrangling using dplyr package

  • Data Visualization


This course teaches R Programming in a practical manner with hands-on experience with coding screen-cast. 

Once you complete this course, you will be able to create or develop R Programs to solve any complex problems with ease.

Course Content

  • 16 section(s)
  • 111 lecture(s)
  • Section 1 Introduction
  • Section 2 Getting Started with R
  • Section 3 R Basics
  • Section 4 Data Types
  • Section 5 Operators in R
  • Section 6 Vectors
  • Section 7 Matrices
  • Section 8 Lists
  • Section 9 Factors
  • Section 10 Data Frames
  • Section 11 Control Structures
  • Section 12 Functions
  • Section 13 Importing Data in Data Frame
  • Section 14 Data Handling using dplyr Package
  • Section 15 Data Visualization
  • Section 16 Statistical Data Analysis

What You’ll Learn

  • Fundamentals of R Programming
  • Work with RStudio
  • Use Vectors, Matrices, Lists, Data Frames
  • Importing and Handling Large CSV files Data in R
  • Import packages in R & use dplyr Package for Data Wrangling
  • Create Data Visualization in R
  • Using R for Basic Statistical Data Analysis

Reviews

  • M
    Michal ashkenazi
    5.0

    Easy to understand and has a good pace. Please add English subtitles.

  • A
    Alice Orji
    5.0

    Easy to understand

  • M
    Moria Zhut
    3.0

    It is very difficult for me to understand because of the instructor has a heavy accent also makes it difficult to watch on 1/75 speed and the subtitles arn't make sense

  • P
    Pedro Da Silva
    5.0

    There could be more exercises to engage the student more as the course plays

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