Introduction to R Programming
Learn with Vishal Sir
1 module
Lifetime access
Unlock the power of data analysis with R programming
Overview
In this course, you will learn the fundamental concepts and techniques of R programming language, one of the most popular languages for statistical computing and data analysis. Through hands-on exercises and practical examples, you will gain a solid foundation in R programming and be able to leverage its capabilities to explore, visualize, and manipulate data.
Key Highlights
Understand the basics of R programming language
Learn how to import and export data in R
Perform data cleaning and transformation using R
Visualize data with various plotting techniques in R
Master the essentials of statistical analysis in R
Build your own data analysis workflows using R packages
What you will learn
Learning Outcome 1
Acquire a thorough understanding of R syntax and data structures
Learning Outcome 2
Learn how to import, manipulate, and clean data in R
Learning Outcome 3
Explore data visualization techniques to present insights effectively
Learning Outcome 4
Apply statistical techniques for data analysis and hypothesis testing
Learning Outcome 5
Develop your own data analysis projects using R packages and tools
Modules
Syllabus of Introduction to R Programming
10 attachments
CLS 1: Introduction To R Programming
CLS 2: Data Types in R
CLS 3: Data Type and operators
R Programming PPT
CLS 4 : Control Statement
CLS 5: Strings in R Programming
CLS 6: Data Set Operations
tips
CLS 6: Data Set Operations 2
tips.csv dataset
FAQs
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Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
Learn with Vishal Sir
Vishal Sir is a distinguished researcher at IIT and a revered faculty member at NIT, boasting a comprehensive expertise spanning programming, data structures, data science, machine learning, and AI technology. With over 8 years of exemplary teaching experience, he has adeptly guided and shaped the knowledge of over 10000 students in these domains. His profound insights and dedication continue to illuminate the path of aspiring technologists in their pursuit of excellence.
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