Expressway to Data Science: R Programming and Tidyverse
Master R programming and tidyverse for data science, focusing on data manipulation, visualization, and analysis.
Course Cost
₹ 5,199
Beginner
Skill Level
49 Hours
Self-paced lessons
This comprehensive specialization teaches R programming for data science, suitable for both beginners and experienced programmers. The three-course series covers fundamental programming concepts, data manipulation with tidyverse, and advanced visualization techniques. Students learn to import and clean data, create effective visualizations using ggplot2, and develop reproducible research skills with RMarkdown. The program emphasizes hands-on learning through coding exercises and culminates in a real-world capstone project.
What you'll learn
Install and configure R and RStudio effectively
Master fundamental R programming concepts and syntax
Use tidyverse to import, clean, and manipulate data
Create professional visualizations with ggplot2
Develop reproducible research documents with RMarkdown
Apply data analysis techniques to real-world datasets
Complete a portfolio-ready capstone project
Skills you'll gain
This course includes:
49 Hours PreRecorded video
Coding exercises and quizzes, Capstone project
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
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There are 3 courses in this program
Introduction to R Programming and Tidyverse
Course 1 · 21 Hours to complete · 4 modules
Data Analysis with Tidyverse
Course 2 · 14 Hours to complete · 5 modules
R Programming and Tidyverse Capstone Project
Course 3 · 9 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.


