B.Sc. (Computer Science) Statistics with R Programming Syllabus - Mumbai University
This is the FY BSc Computer Science syllabus under NEP 2020, in force from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it — her Summer 2026 third-year timetables name that scheme — so check which scheme your exam form names before you revise.
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Syllabus for Statistics with R Programming
Module I
- Exploring R Language and Setting Up environment: Introduction to R, Terminologies in R, R Environment, Installing R, Studio, and R Commander, Customizing Studio, Data Management in Studio, R Graphical User Interface (R GUI), Working with R Scripts
- Implementing ting Expression: Expressions, assignment, Decision making, Loops, data and time options in R
- Essential Data Structures in R: Vectors, Matrix, Arrays, Lists, Data frames, Functions
- Implementing Strings in R: Character strings in R, Character Strings, , Strings and R objects, String Manipulation: Printing Characters, Basic String Manipulations, String Operations
Module II
- Built-in statistical functions in R: mean() function, Median, Standard Deviation, Some other built-in statistical functions,
- Regression Analysis: Regression Analysis-Linear Regression and Multiple Regression, Normal Distribution- dnorm(),,pnorm(),qnorm(),rnorm()
- Binomial Distribution: dbinom(),pbinom(),qbinom(),rbinom() Functions, Time Series Analysis
- Visualizing and analysing Data in R: Tabulation, Contingency Tables, Making R Contingency Tables, Making R Custom Contingency Tables, Selection of Parts in a Table Object, Conversion of an Object into the Table, Testing Table Objects, Making R Complex Tables, Representing data through Cross Tabulation
- Graphical Models & analysis: Plots made of Single Plots made of Two Variables , Variable, Plots made of Multiple Variables, Special Plots, Storing Graphics
Text Books
- 1 Statistical Programming in R, K.G. Srinivasa G.M. Siddesh,Chetan Shetty , Oxford University Press, 2017
- 2 Learning R: A Language for Data Analytics and Visualization, Sybgen Learning, R. K. Maurya, 2021
- 3 Introduction to Statistics and Data Analysis With Exercises, Solutions and Applications in R: Heumann, Christian, Schomaker, Michael, Shalabh, Publisher” Springer 2016
- 1 Learning R Programming, Kun Ren, Packt Publishing, 2018
- 2 R Programming for Statistics and Data Science(Video), 365 Careers, Packt, 2018
- 3 R Programming Fundamentals, Kaelen Medeiros, Oreily-Packt Publishing
Reproduced from the University of Mumbai syllabus for B.Sc. (Computer Science) under NEP 2020, in force from the academic year 2024-25. Wording is as printed in that syllabus. Module numbering is as printed there too.