【한글자막】 R 프로그래밍 A-ZTM: 직접 코딩하며 배우는 R 프로그래밍 !

Learn R Programming with RStudio: A Hands-On Data Science Journey

Ready to dive into the exciting world of data science? This course provides a clear and engaging path to mastering R programming using RStudio. Forget complicated tutorials – learn by doing with practical exercises and real-world examples.

Why Choose This R Programming Course?

Many R courses can feel overwhelming due to the steep learning curve. This course is different. It's a truly step-by-step approach, building your skills with each new tutorial. You'll immediately apply what you learn, progressing smoothly through the material. We focus on practical application, using vivid case studies to solidify your understanding.

What You'll Learn:

• RStudio Fundamentals: Master the interface and tools of RStudio, your primary environment for R programming.
• Core Programming Concepts: Understand the fundamental principles of programming as applied in R.
• Data Structures: Learn to create and manipulate essential data structures in R, including:
  • Vectors: The building blocks of R data.
  • Variables: Storing and managing data effectively.
  • Data Types: Explore R's various data types: integers, floating-point numbers, logical values, and character strings.
  • Matrices: Create and utilize matrices using functions like matrix(), rbind(), and cbind().
• Control Flow: Control the execution of your code with while() and for() loops.
• Package Management: Learn how to install and use R packages to extend your capabilities.
• Practical Application: Apply your knowledge to solve real-world data analysis problems through included exercises and homework assignments. Some problems will be worked through together, while others will challenge you to apply your skills independently.

Who is this course for?

This course is designed for learners of all skill levels, even those without prior programming or statistical background. Whether you're a complete beginner or looking to strengthen your R programming skills, this course provides a solid foundation.

Instructor:

This course is taught by Kirill Eremenko, a physics, mathematics, and data science instructor.

Q&A:

Feel free to ask questions about the course in the Q&A section, but please submit them in English for timely responses. :)

We look forward to seeing you in class!

Thank you,

Kirill Eremenko