Introduction to R Software

By Prof. Shalabh   |   IIT Kanpur
Any scientific task without the knowledge of software is difficult to imagine and complete in the current scenario. R is a free software that is capable of handling mathematical and statistical manipulations. It has its own programming language as well as built in functions to perform any specialized task. We intend to learn the basics of R software in this course. 

How to learn in this course Lecture 0

INTENDED AUDIENCE: UG students of Science and  Engineering. Students of humanities with basic mathematical background can also do it. Working professionals in analytics and anyone involved in programming, mathematical and statistical computations, simulations and data analysis can also do it.

PREREQUISITES: Mathematics background up to class 12 is needed.  Having some preliminary knowledge will be helpful but not necessarily mandatory.

INDUSTRY SUPPORT: All industries involved in mathematical and statistical computations, programming and simulations and having R & D set up will use this course.

Learners enrolled: 5876


Course Status : Ongoing
Course Type : Core
Duration : 8 weeks
Start Date : 14 Sep 2020
End Date : 06 Nov 2020
Exam Date : 19 Dec 2020
Enrollment Ends : 25 Sep 2020
Category :
  • Mathematics
  • Computational Biology
  • Level : Undergraduate


    Week 1: Basic fundamentals, installation and use of software, data editing, use of R as a calculator, functions and assignments.
    Week 2: Use of R as a calculator, functions and matrix operations, missing data and logical operators.
    Week 3: conditional executions and loops, data management with sequences.
    Week 4: Data management with repeats, sorting, ordering, and lists.
    Week 5: Vector indexing, factors, Data management with strings, display and formatting.
    Week 6: Data management with display paste, split, find and replacement, manipulations with alphabets, evaluation of strings, data frames.
    Week 7: Data frames, import of external data in various file formats, statistical functions, compilation of data.
    Week 8: Graphics and plots, statistical functions for central tendency, variation, skewness and kurtosis, handling of bivarite data through graphics, correlations, programming and illustration with examples.


    • Introduction to Statistics and Data Analysis  - With Exercises, Solutions and Applications in R  By Christian Heumann, Michael Schomaker and Shalabh, Springer, 2016
    • The R Software-Fundamentals of Programming and Statistical Analysis -Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet, Springer 2013
    • A Beginner's Guide to R (Use R) By Alain F. Zuur, Elena N. Ieno, Erik H.W.G. Meesters, Springer 2009


    Prof. Shalabh

    IIT Kanpur
    Dr. Shalabh is a Professor of Statistics at IIT Kanpur. His research areas of interest are linear models, regression analysis and econometrics. He has more than 23 years of experience in teaching and research. He has developed several web based and MOOC courses in NPTELincluding on regression analysis and has conducted several workshops on statistics for teachers, researchers and practitioners. He has received several national and international awards and fellowships. He has authored more than 75 research papers in national and international journals. He has written four books and one of the book on linear models is co- authored with Prof. C.R. Rao. 


    The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    Date and Time of Exams: 19 December 2020 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    Registration url: Announcements will be made when the registration form is open for registrations.
    The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.


    Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course.
    Exam score = 75% of the proctored certification exam score out of 100

    Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

    Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kanpur .It will be e-verifiable at nptel.ac.in/noc

    Only the e-certificate will be made available. Hard copies will not be dispatched.

    Once again, thanks for your interest in our online courses and certification. Happy learning.

    - NPTEL team