R Programming Crash Course
- Development
- Apr 24, 2025

R Programming Crash Course, available at $22.99, has an average rating of 4.67, with 10 lectures, based on 3 reviews, and has 15 subscribers.
You will learn about Learn fundamental R Coding principles Save your time to only learn what you really need BEFORE getting started in the field of Finance / Data Analytics / Data Science Be able to write simple R programs Have a good foundation of the core R concepts to tackle next steps This course is ideal for individuals who are People who want to start learning R hands-on! or People who want to save time and learn only the basics which you really need to move on or People who want to get started with the fundamentals BEFORE diving into more complex topics It is particularly useful for People who want to start learning R hands-on! or People who want to save time and learn only the basics which you really need to move on or People who want to get started with the fundamentals BEFORE diving into more complex topics.
Enroll now: R Programming Crash Course
Summary
Title: R Programming Crash Course
Price: $22.99
Average Rating: 4.67
Number of Lectures: 10
Number of Published Lectures: 10
Number of Curriculum Items: 10
Number of Published Curriculum Objects: 10
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
What is this course about?
In this course I am breaking down the most important fundamentals you need to get startedwith R.
Why should I be your constructor?
I got years of experience coding and know which topics are key to understand to actually move on to topics like Data Analytics, Machine Learning, Data Science, Quantitative Finance or Algorithmic Trading.
I wrote my Master Thesis on a quantitative Finance topic, currently working in the field of Data Science and got a YouTube channel teaching Algorithmic Trading and Data Science hands-on tutorials with over 60.000 subscribers.
Why this course?
This course is giving a rock solid foundation for anyone interested in learning R. After completing this course you are perfectly prepared to move on to more advanced topics such as Data Analytics, Machine Learning, Data Science, Quantitative Finance or Algorithmic Trading.
There is not a single time fillerand we are getting straight into the topics.
Any questions coming up?
If you got any questions please feel free to reach out! I am happy to hear from you.
What are you waiting for?
If you want to learn R from scratch be invited to enroll right nowand start your R programming journey!
Course Curriculum
Chapter 1: Core Basics
Lecture 1: Course Structure
Lecture 2: R and R Studio Installation Guide
Lecture 3: R Studio, Datatypes and Operators
Lecture 4: Sequences
Chapter 2: Data Structures & Data Analysis
Lecture 1: Vectors & Matrices
Lecture 2: Dataframes
Chapter 3: Control Flow
Lecture 1: Conditional Statements (if, else, else if)
Lecture 2: Loops
Lecture 3: Functions (& Recursion)
Chapter 4: Solving Fizzbuzz in R
Lecture 1: Fizzbuzz
Instructors

Python for Finance Mastery
M.Sc./Content Creator/Analyst
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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