Welcome to "Introduction to R Programming". This course provides a comprehensive introduction to the powerful world of R programming, equipping you with essential data manipulation and analysis skills. Whether you're new to coding or seeking to enhance your R proficiency, this course is for you.

Explore the fundamentals of R programming, from setting up your workspace to understanding the basics of R Studio. Dive into the basics of R programming, covering operations, variables, data types, and coding styles. You'll gain practical experience working with vectors, matrices, arrays, lists, factors, loops, functions, and data frames through hands-on exercises.

One of the unique features of this course is a practical mini-project where you'll apply your newfound skills to import, tidy, and analyze real-world data.

As we wrap up the course, you should have a solid understanding of R programming and the ability to tackle data analysis projects confidently. Enroll now to unlock the potential of R programming, enhance your analytical capabilities, and embark on a journey toward mastering data science.

In this course, students will learn how to:

• Define R and its application in data science.
• Master R's data types, coding style, and comments.
• Utilize vectors effectively.
• Apply matrices, covering operations and modification.
• Implement arrays for advanced data manipulation.
• Utilize lists, focusing on selecting list elements.
• Explore factors and their functionalities.
• Employ loops, including IF-ELSE statements.
• Apply functions proficiently in R programming.
• Utilize data frames, including Tidyverse andTibbles.
• Complete your first R programming assignment successfully.