EXPLORE CATEGORIES
FREE
Introduction to R Software
Created by -
0.00
(0 ratings)
English
Wishlist
Overview
Any scientific task without the knowledge of software is difficult to imagine and complete in the current scenario
free
Type: Online
This course includes
- 8 weeks long
- Paid Certificate Available
Taken this course?
Share your experience with other students
free
Type: Online
This course includes
- 8 weeks long
- Paid Certificate Available
Taken this course?
Share your experience with other students
Introduction to R Software
Created by -
0.00
(0 ratings)
Start Date: August 17th 2020
Course Description
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.
Course Structure
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.
Tags
Mark Complete
About the Instructor
Prof. Shalabh,Indian Institute of Technology Kanpur
No Reviews at this moment.
