This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.
This course is part of the Mastering Software Development in R Specialization
About this Course
Skills you will gain
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
Syllabus - What you will learn from this course
Basic R Language
Basic R Language: Lesson Choices
Data Manipulation: Lesson Choices
Text Processing, Regular Expression, & Physical Memory
Text Processing, Regular Expression, & Physical Memory: Lesson Choices
- 5 stars59.44%
- 4 stars25.15%
- 3 stars7.48%
- 2 stars3.22%
- 1 star4.69%
TOP REVIEWS FROM THE R PROGRAMMING ENVIRONMENT
Good to learn the possibilities in the R environment. In the end you learn most by applying it to your own projects (with a lot of help in available documentation or via internet sea).
A very good course to read and get the valuable content of R language. This is for the students who want to learn and practice the basic and some intermediate concepts of data manipulation.
Great course, and teaches the fundamentals. Google is your friend and websites like RFunction will supplement perfectly. Recommend the use of RStudio to work along course.
A thorough course that covers a lot of efficient data manipulation styles within the R environment. I learned a lot of neat tricks that help with quick analysis of large data frames.
About the Mastering Software Development in R Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.