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R Crash Course - Learn R-programming in 2 hours: R & RStudio (Udemy.com)

R Crash Course - a short and concise introduction to R and RStudio, R-programming for the Beginners

Created by: Katie Alison

Last updated November 2023

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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
  • The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming
  • Learn how to install R and RStudio on your computer
  • The best about this course that in very concise manner: you will be able to learn all the fundamentals of R-programming in 2 hours!
  • You will learn Package Management in R & RStudio
  • How to calculate in R & RStudio
  • All data types in R-language
  • Learn about data frames, indexing data frames and dealing with the missing values in R & RStudio
  • Learn about functions, control structures and for loops in R & RStudio
  • All the R-scripts used in this course will be also provided to you

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.4 out of 5higher than 28% of them
  • Reviews121#401 of 462 by number of reviews
  • Length2.5 hoursshorter than 85% of them
  • Last updatedNovember 2023earlier than 77% of them

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Course Description

Welcome to the R Crash Course - Your Gateway to R Programming for Beginners

If you're new to script-based programming in R or have limited prior exposure, this course is your ideal starting point. Our primary objective is to equip you with the foundational knowledge required for more advanced R language, RStudio, and R-programming courses. Not only is this an excellent introduction for beginners, but it also serves as a baseline course for those looking to refresh their R-programming skills in preparation for upcoming data science courses in R.

Course Highlights:

In just two hours, you'll master the fundamental principles of R-programming, setting the stage for your journey into the world of R. Here's a glimpse of what you'll learn:

  • Package Management

  • Performing Calculations with R

  • Understanding Variables

  • Exploring Vectors

  • Manipulating Matrices

  • Navigating Lists

  • Working with Data Frames

  • Handling Missing Values

  • Leveraging Functions

  • Implementing Control Structures

  • Unveiling the Power of For Loops

You'll also receive all the R-scripts used in this course for your reference.

Ideal for Professionals

This course caters to professionals across various domains, including data scientists, statisticians, geographers, programmers, social scientists, geologists, and any experts requiring statistics and data science skills within their field.

Prerequisite Notice

Please note that this course is designed for individuals with no prior knowledge of R programming. If you are already an intermediate or advanced R user, this introductory course may not be suitable for your needs.

Let's Dive In!

Ready to embark on your R programming journey? Let's dive in and build a strong foundation that will enable you to confidently explore the exciting world of R. Join this course now and get started on your path to becoming an R programming expert!

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Instructor Details

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

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Reviews

4.4

121 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By David Knollhoff on 12/4/2024

This is a good course to start learning R in Rstudio. It is a crash course so many things are assumed you know, but the course does not require prior knowledge so enjoy the gold nuggets provided in this course.

By Liza on 6/9/2022

That was an amazing course. Easy to follow and I have learned so much. I really enjoyed the detailed explanations.

By Robert Findlan on 4/24/2022

Part 4.19 was extremely blurry. I had to go to another site to learn how to read in files since I couldn't see the text in the video clearly.

By Anonymized User on 2/20/2022

The course contains great information. The delivery of lectures has been made very interesting by the instructor

By David S on 10/22/2021

Hot links to referenced material or downloadable resources would be helpful to access material referenced in the lectures

By Jason Araos on 8/23/2021

Excellent course. With a lot of meaningful content in a short time. If you are looking for a course which could teach you the main pillars of R in a short time, this is for you. Great teacher. Congratulations!

By Harold One Feather on 3/24/2021

Great so far, very knowledgeable about R and RStudio installation, very pleasing lectures and expect more as the course progresses to mastery of R

By Анна on 2/2/2021

Never thought I could get R-programming this easy. Your teaching prower is amazing. I enjoyed every bit of it.

By Василий on 2/1/2021

Full analytic and good course for someone who has no knowledge of machine learning in R. The instructor was excellent!

By Sepehr Bakhshi on 4/17/2022

Showing all 10 reviews on CourseDuck

Read all 121 reviews on Udemy

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Quality Score

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Overall Score : 88 / 100