R Programming Basics for Data Science

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Course Features

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Duration

5 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

2 hours per week

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Teaching Type

Self Paced

Course Description

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.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

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.

Course Instructors

Yan Luo

Ph.D., Data Scientist and Developer

Yan Luo, Ph.D., is a data scientist and developer at IBM Canada. Yan has been building innovative AI and cognitive applications in various areas such as mining software repositories, personalized hea...
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