This course enables the students to:
· Implement programming concepts in R language
· Experiment various functionalities through R programming.
· Identify solution of given problem
· Apply packages in solving problems.
· Evaluate & choose efficient solution
· Construct small application using R
Learning outcomes (at course level) | Learning and teaching strategies | Assessment Strategies |
CO221. Understand and apply various programming concepts in R language
CO222. Implement various functions using R
CO223. Analyze the problem and find right solution
CO224. Implement packages to design and program testing.
CO225. Understand data and file management using R.
CO226. Develop and analyze applications using R
| Approach in teaching: Interactive Lab Sessions, Modeling, Discussions, implementing enquiry based learning, student centered approach
Learning activities for the students: Experiential Learning, Discussions, Lab Assignments, Learning through Real life data centric problems | Lab Assignments Practical Record Continues Assessment Semester End Examination |
Contents
Overview
Data Types
· Filtering and subsetting data
· Graphical Procedures Introduction
Data Analytics
Design and write efficient programs using R to perform routine and specialized data manipulation and analysis tasks using
· Packages
· Data Reshaping
· Charts & Graphs