Introduction to R Programming for Data Science
Key Takeaways
Introduces R programming for data science, covering basics and data structures
Original Description
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks.
You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language.
The emphasis in this course is hands-on and practical learning . You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to acquire and analyze data-driven insights.
No prior knowledge of R, or programming is required.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
Formula One Analysis Using Python
Medium · Python
Junior to senior metrics , what you need to LEARN!
Medium · Data Science
DSA Decoded — Part 3: Hash Tables (The Reason Almost Everything Feels Instant)
Medium · Data Science
Data Engineering: The Data Field's Unknown Child
Dev.to · Itoro James
🎓
Tutor Explanation
DeepCamp AI