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Data Analytics with R Semester 3
Course Code: BDS306C
CIE Marks: 50
Teaching Hours/Week (L:T:P: S): 2:0:2:0
SEE Marks: 50
Total Hours of Pedagogy: 28 Hours Theory + 20 Hours Practical
Total Marks: 100
Credits: 03
Exam Hours: 03
Examination type (SEE): Theory

Basics of R

Introducing R, Initiating R, Packages in R, Environments and Functions, Flow Controls, Loops, Basic Data Types in R, Vectors

Chapter 1: 1.1 to 1.7 Chapter 2: 2.1,2.2

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Basics of R Continued

Matrices and Arrays, Lists, Data Frames, Factors, Strings, Dates and Times

Chapter 2: 2.3,2.4,2.5,2.6,2.7.2.8.1,2.8.2

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Data Preparation

Datasets, Importing and Exporting files, Accessing Databases, Data Cleaning and Transformation

Chapter 3: 3.1,3.2,3.3,3.4

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Graphics using R

Exploratory Data Analysis, Main Graphical Packages, Pie Charts, Scatter Plots, Line Plots, Histograms, Box Plots, Bar Plots, Other Graphical packages

Chapter 4: 4.1 to 4.9

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Statistical Analysis using R

Basic Statistical Measures, Normal distribution, Binomial distribution, Correlation Analysis, Regression Analysis-Linear Regression Analysis of Variance

Chapter 5: 5.1, 5.3, 5.4, 5.5, 5.6.1, 5.7

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2022 SCHEME QUESTION PAPER

Model Set 1 Paper

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Model Set 1 Paper Solution

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Model Set 2 Paper

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Model Set 2 Paper Solution

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Regular Paper

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Back Paper

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