Get started with R -Introduction to R-programming #Beginners (Udemy.com)
Learn and harness the power of R and RStudio, R-programming for FREE . This course is ideal 4 Beginners in data science
Created by: Katie Alison
Last updated November 2023
What you will learn
- This is a R crash course for anyone who previously had no or very little contact with script-based programming in R
- Learn how to install R and RStudio on your computer
- You will learn Package Management in R & RStudio
- You will be able to learn all the fundamentals of R-programming in 2 hours!
- All data types in R-language
- Learn about functions, control structures and for loops in R & RStudio
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.5 out of 5higher than 46% of them
- Reviews131#390 of 462 by number of reviews
- Length1.6 hoursshorter than 93% of them
- Last updatedNovember 2023earlier than 77% of them
Course Description
Essential R Programming Crash Course
Are you new to script-based programming in R or have minimal prior exposure? If so, this R crash course is designed for you.
Course Highlights:
The primary objective of this course is to provide you with the foundational knowledge required for more advanced courses that utilize the R language, RStudio, and R-programming. These advanced courses often delve into areas like data science, machine learning, and statistical analysis in R.
Course Benefits:
This course is incredibly concise, with a duration of less than 2 hours.
You will grasp all the fundamentals of R-programming, enabling you to begin using R effectively.
Ideal Audience:
Whether you're a data scientist, statistician, geographer, programmer, social scientist, geologist, or any professional needing to apply statistics and data science in your field, this course is tailored to help you acquire essential R programming skills. Please note that this course is not intended for intermediate or advanced R users seeking an in-depth introduction to R programming.
Is This Course for You?
Please note that if you are already an intermediate or advanced user of R and do not require an introduction to R programming, this course may not be suitable for your needs.
Join the Course Today and Accelerate Your R Programming Skills!
Instructor Details
- 4.5 Rating
131 Reviews
Katie Alison
Welcome to the World of GIS, Remote Sensing, Machine Learning & Data Science!
Are you ready to develop in-demand skills in GIS, Remote Sensing, Machine Learning, Google Earth Engine, and Data Science?
Whether you are a student, researcher, environmental professional, or aspiring data scientist, you are in the right place. My goal is to help you build practical, real-world skills through structured learning paths, hands-on exercises, and applied projects.
Meet Your Instructor
I am a geospatial scientist, educator, and trainer with extensive international teaching experience in GIS, Remote Sensing, Machine Learning, Environmental Analysis, and Geospatial Data Science. Over the 15+ years, I have had the privilege of teaching thousands of students from around the world and helping them advance their careers, research, and technical skills.
I am passionate about making complex topics accessible, practical, and engaging.
Choose Your Learning Path
Depending on your learning style and goals, you can either follow a detailed step-by-step progression or choose one of the comprehensive all-in-one courses.
Path 1: Step-by-Step Learning Journey
More courses by Katie Alison
Project Management: Planning Phase of Project Management 23 (2022)
4.4 (1,605 Reviews)
Provider: Udemy
Time: 1.9h
$11.99
Machine Learning in GIS and Remote Sensing: 5 Courses in 1 (2025)
4.2 (539 Reviews)
Provider: Udemy
Time: 8.4h
$69.99
R Crash Course - Learn R-programming in 2 hours: R & RStudio (2023)
4.4 (121 Reviews)
Provider: Udemy
Time: 2.5h
$12.99
More Data Science courses
Master statistics & machine learning: intuition, math, code (2026)
4.9 (3,077 Reviews)
Provider: Udemy
Time: 38.3h
$124.99
Reviews
By David Knollhoff on 12/5/2024
The rstudio sessions has too small font to see at times. Please increase font in future videos. Otherwise really good.
By Richard J Bloch on 5/24/2022
This was a very good, and as stated, introductory course in R and R Studio. The instructor, Kate, went through everything in pretty good detail following a script that she had prepared for the entire course. You could follow along and perform the exercises, and more. On the whole, an excellent preparatory course for more advanced R courses. Great work, Kate !
By Anja Prause on 2/9/2022
Very interesting and useful course. Thank you.
By Anonymized User on 2/7/2022
Great Course! This course topped my expectations. The quality of the course is uncompromising and the instructor is also very knowledgeable.
By Clark Elliot on 9/2/2021
Fun learning with great teachers across the globe.
By Victor Ejiofor on 8/2/2021
Very nice introduction to programming with R
By Sameeksha Jain on 6/2/2021
The screen size of R is small and the text is not clearly visible. There are some mistakes in formulas and writeup also
By Kevin McAleese on 3/22/2021
File download is helpful to new learners. Overall good free course to begin with for R beginners
By Vinicius Paiva Gonçalves on 2/21/2021
Awesome, I really like Kate's courses and didactics!
By Vaishnavi Jadhav on 2/1/2021
it was a great experience about this course . My things were getting very clear due to this type of learning
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 90 / 100









