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Courses » Introduction to R Software

Introduction to R Software

About the course

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


Important For Certification/Credit Transfer:

Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here

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Note: Content is Free!

All content including discussion forum and assignments, is free


Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee


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.

Industries that will recognize this course
All industries involved in mathematical and statistical computations, programming and simulations and having R & D set up will use this course.

15725 students have enrolled already!!

Course instructor



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 22 years of experience in teaching and research. He has developed several web based NPTEL courses including on regression analysis and has conducted several workshops on statistics for teachers, researchers and practitioners. He has received several national and international award and fellowships. He has authored more than 70 research papers in national and international journals. He has written four books and one of the book on linear models is coauthored with Prof. C.R. Rao.

Course layout


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.



Suggested Reading
  • 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
CERTIFiCATION EXAM :
  • The exam is optional for a fee.
  • Date and Time of Exam: October 7, 2018 (Sunday): 
  • Time of Exams: Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm.
  • Exam for this Course will be available in both morning & afternoon sessions.
  • 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.
CERTIFICATE:
  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of 8 weeks course: Best 6 out of 8 assignments
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. 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.