IBM - Introduction to R Programming for Data Science
4.8 /5- Offered byCoursera
Introduction to R Programming for Data Science at Coursera Overview
Introduction to R Programming for Data Science
at Coursera
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to R Programming for Data Science at Coursera Highlights
Introduction to R Programming for Data Science
at Coursera
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 10 hours to complete
- English Subtitles: English
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Introduction to R Programming for Data Science at Coursera Course details
Introduction to R Programming for Data Science
at Coursera
Skills you will learn
More about this course
- 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.
- This course is part of multiple programs
- This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
- IBM Data Analytics with Excel and R Professional Certificate
- Applied Data Science with R Specialization
Introduction to R Programming for Data Science at Coursera Curriculum
Introduction to R Programming for Data Science
at Coursera
R Basics
Welcome to Introduction to R Programming for Data Science
Introduction to R Language
Basic Data Types
Math, Variables, and Strings
R Environment
Introduction to RStudio
Writing and Running R in Jupyter Notebooks
Summary & Highlights
Practice Quiz
Graded Quiz
Common Data Structures
Vectors and Factors
Vector Operations
Lists
Arrays and Matrices
Data Frames
Summary & Highlights
Practice Quiz
Graded Quiz
R Programming Fundamentals
Conditions and Loops
Functions in R
String Operations in R
Regular Expressions
Date Format in R
Debugging
Summary & Highlights
Practice Quiz
Graded Quiz
Working with Data
Reading CSV, Excel, and Built-in Datasets
Reading Text Files in R
Writing and Saving to Files
HTTP Request and REST API
Web Scraping in R
Summary & Highlights
Practice Quiz
Graded Quiz
Final Project
Download and Complete the Tasks in a Notebook
Congratulations & Next Steps
Credits and Acknowledgments
Introduction to R Programming for Data Science at Coursera Admission Process
Introduction to R Programming for Data Science
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
Other courses offered by Coursera
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3 months
Beginner
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K
Keshav Ahirwar
Introduction to R Programming for Data Science
Offered by Coursera
5
Learning Experience: The content if this course Introduction to R Programming for Data Science is very easy to understand and easy to learn. Coursera platform provided good content and this platform is too easy to operate. I have successfully completed my course by the help of the content abd videos provided in this course. I got a job because of this course. It is very usefull course to enter life of Data Scientist. Everyone should do this course and learn from Coursera abd inhance the skills of your resume.
Faculty: The approach of teaching is too good. I understood every concept of this course. Quality of lectures are too nice. For practical Coursera provides another platform to to practice. My peer group members also helped me to complete this course.
The Coursera provided this course abd easy content. Content is very easy to understand and learn if you are learning this course then you are going to have a very Good skills in your bucket. Assignment is easy when you start this course. You can give assignment anywhere.
Course Support: Yes I got job in Astoria company. By this course I got job.
Reviewed on 29 Jul 2022Read More
R
Rajnandan kumar
Introduction to R Programming for Data Science
Offered by Coursera
5
Learning Experience: How visualized data usin R-programming
Faculty: He is very good in teaching. But I forgot his name.
Ya it is updated
Course Support: Ya it is help me in analysis
Reviewed on 4 Jun 2022Read More
S
Samriti Chaudhary
Introduction to R Programming for Data Science
Offered by Coursera
5
Learning Experience: Learning experience was good
Faculty: Instructors taught well
everything in course i liked
Course Support: Career support was helpful
Reviewed on 21 May 2022Read More
D
Dr Jyotiranjan Hota
Introduction to R Programming for Data Science
Offered by Coursera
4
Learning Experience: Learning experience was good
Faculty: Instructors taught well
Curriculum was relevant and comprehensive
Course Support: Career support was helpful
Reviewed on 13 May 2022Read More
A
ASHISH MISHRA
Introduction to R Programming for Data Science
Offered by Coursera
5
Other: If one really wants to be an expert in R programming, then this program is meant for him. It is simple, lucid and at the same time fully-equipped with hands on sessions.
Reviewed on 16 May 2021Read More
View All 5 Reviews
Introduction to R Programming for Data Science
at Coursera
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