R Programming Basics for Data Science

عن

The R language plays a critical role in data analysis and a common programming language when working in the field of data science & analytics. This course will introduce you to R language fundamentals like data types, techniques for manipulation, and how to implement fundamental programming tasks. We'll also cover common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language.

This course emphasizes 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 produce data-driven insights.

No prior knowledge of R, or programming is required.

What you will learn

• Manipulate numeric and textual data types using the R programming language and RStudio or Jupyter Notebooks.

• Define and manipulate R data structures, including vectors, factors, lists, and data frames.

• Control program flow, define functions, perform character string and date operations, define regular expressions, and handle errors.

• Read, write, and save data files and scrape web pages using R.

Skills you learn

• Data Analysis
• Watson Studio
• Data Structures
• RStudio
• Jupyter
• Data Science
• R (Programming Language)

Auto Summary

Discover the essentials of R programming for data science in this 13-week foundational course by edX. Perfect for beginners, you'll explore R language fundamentals, data types, manipulation techniques, and common data structures. Engage in hands-on learning with RStudio, data frames, and matrices, culminating in a final project using Watson Studio and Jupyter notebooks. Available through a Starter subscription, this course is ideal for those looking to step into data science without prior programming experience.