| Course Name | Foundation of Data Science with R Programming |
| Course Code | 26DLS505 |
| Program | M. Sc. in Data Science with Logistics and Supply Chain Management |
| Semester | 1 |
| Credits | 4 |
| Campus | Coimbatore |
Overview of R software, Introduction to R Studio: R command Prompt, R script file, Handling Packages in R: Installing a R Package, Basic commands to get started and Special functions , Data Types, Vectors, Lists, Matrices, Arrays, Factors, String functions , Data Frame , Loading and handling Data in R, Writing into a CSV File and Reading from Excel file. (24 Hrs)
Descriptive Statistics: Data Range, Frequencies, Mode, Mean and Median, variance, Standard Deviation, Data Visualization Using R- Pie Charts, R Histograms Density Plot , Bar Charts, Line Chart, Scatterplot, Box Plot, drawing line, circle, rectangle and triangle .Classification and Tabulation of Data , Diagrammatic and Graphic representation of data, Measure of central tendency or averages, Measure of dispersion, Skewness and Kurtosis. (18 Hrs)
Statistical Analysis Using R : Standard discrete distributions – Binomial, Poisson, Uniform, Geometric distributions, Standard continuous distributions – Uniform, Exponential and Normal distributions, Correlation and Regression . Case studies related logistic and supply chain management. (18 Hrs)
Text books / Reference Books
| Course Outcomes | |
| CO1 | Understand different data structures including factors, lists, data frames, and matrices. Also develop skills in importing, managing, and handling datasets from multiple data sources |
| . CO2 | Apply exploratory data analysis on real time datasets and implement data visualization techniques for creating meaningful and informative graphs using R. |
| CO3 | To foster the ability to tackle real-world data problems and derive actionable insights using R based on statistical analysis. |
CO-PO Mapping
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | |
| CO1 | 3 | 3 | 3 | 2 | 2 | 2 | 1 | 1 | ||||
| CO2 | 3 | 3 | 3 | 2 | 3 | 2 | 1 | 1 | ||||
| CO3 | 3 | 3 | 3 | 2 | 2 | 2 | 1 | 1 | ||||
| CO4 | 3 | 2 | 2 | 1 | 2 | 1 | 1 | 1 |
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