Master R Programming

Master R Programming

Master R Programming

Level : Basic

Price : 29999   14999

7 Month(s)

R Programming: Your Gateway to Data Analysis and Statistical Computing

Whether you're a beginner looking to dive into the fascinating realm of data science or an experienced analyst seeking to expand your skill set, our comprehensive course has something to offer for everyone.

Course Designed by: IIT Madras Alumni

Course Overview:

Our R Programming course is designed to equip you with the knowledge and skills needed to harness the power of R for data analysis, visualization, and statistical modeling. With a focus on practical applications and real-world scenarios, you'll learn how to manipulate data, perform statistical tests, and create insightful visualizations using R's versatile ecosystem of packages and tools.

Key Topics Covered:

  • Introduction to R and RStudio
  • Data Manipulation with dplyr and tidyr
  • Data Visualization with qplot2
  • Statistical Analysis with inferential statistics
  • Machine Learning with caret and randomForest
  • Advanced Topics: Text Mining, Time Series Analysis, and more

Why Learn R Programming with Us:

  1. Expert Guidance: Learn from industry experts and experienced instructors who are passionate about teaching R programming and have extensive experience in data analysis and statistical computing.

  2. Hands-On Learning: Dive into practical exercises and projects that allow you to apply your knowledge in real-world scenarios, ensuring that you develop the skills and confidence needed to succeed in your data-driven endeavors.

  3. Flexible Learning Options: Our course is designed to accommodate learners of all levels, from beginners to advanced users. With flexible scheduling and self-paced learning options, you can tailor your learning experience to fit your unique needs and goals.

Who Can Benefit from Our R Programming Course?

Our R Programming course is designed to cater to learners of all ages and backgrounds, offering valuable skills and knowledge that can benefit individuals across various domains and career paths. Here's how different age groups can benefit from our course:


  • Students pursuing degrees in fields such as mathematics, statistics, computer science, economics, or any other discipline involving data analysis can enhance their academic performance by mastering R programming techniques.

  • Gain a competitive edge in the job market by acquiring in-demand skills in data analysis and statistical computing. Whether you're aiming for internships, entry-level positions, or advanced research opportunities, proficiency in R programming can significantly boost your career prospects.


  • Professionals working in industries such as finance, healthcare, marketing, research, and consulting can expand their skill set and advance their careers by mastering R programming. 

  • Individuals looking to transition into the field of data science or analytics can use our R Programming course as a stepping stone to acquire the necessary skills and knowledge for a successful career switch. 

Any AI Enthusiast:

  • Whether you're a hobbyist, a lifelong learner, or simply curious about data analysis and statistical computing, our R Programming course offers a rewarding learning experience.

  • Enhance your analytical skills, problem-solving abilities, and critical thinking capabilities through hands-on projects and real-world applications.

    Start Your R Programming Journey Today:

Are you ready to unlock the full potential of R programming and take your data analysis skills to the next level? 

Enroll in our R Programming course today and embark on a transformative learning journey. Whether you're looking to advance your career, tackle new challenges, or simply satisfy your curiosity, R programming offers endless possibilities for exploration and discovery. Join us and let's dive into the exciting world of data science together!


1.   Introduction to R

2.   How to install R

3.   R Studio

4.   Variables in R

5.   Types of Data types in R

6.   While Loop

7.   For Loop

8.   If statement

9. Introduction to vector

10. Vectorized Operations

11. Vectorized and DE vectorized

12.How to create a vector

13. Functions

14. Packages

15. Matrices

16. How to create a matrix in R?

17. How to name matrix dimensions?

18. Operations on Matrix

19. More about Matrix

20. Mat plot

21. Sub setting

22. How to create a function?

23. Importing data into R

24. Use of Dollar sign in R

25. How to filter data frames?

26. Take a look at dataset

27. How to create data frame?

28. How to merge two data frames?

29. Operations on data frame

30. Introduction to qplot

31. Working with Qplot

32. Grammar of Graphics

33. Factor

34. How to override aesthetic?

35. Aesthetic

36. Mapping

37. Histogram

38.Data Transformations

39. Facets

40. How to access elements in R?

41. How to plot layers in R?

42. Logical operators

43. Worksheet- 1

44. Worksheet- 2

45. Worksheet- 3

46. Worksheet- 4

47. Worksheet - 5

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