Syllabus - Data Science using R Programming (AB-703)

R Introduction

Overview of R Programming, Downloading and installing, Help of Function, Viewing documentation, General issues in R, Package Management

Data Inputting in R and Data Visualization

Data Types, Subsetting, Writing data, Reading from csv files, Creating a vector and vector operation, Initializing data frame, Control structure, Re-directing R Output Data Visualization; Creating bar chart and dot plot, Creating histogram and box plot, Plotting with base graphics, Plotting and coloring in R

Basic Statistics, Functions and Programming in R

Computing Basic Statistics, Measures of central tendency, Measures of variability, Skewness and kurtosis, Summary functions, describe functions, and descriptive statistics by group, Correlations, Comparing means of two samples, Testing a proportion, Data Munging Basics Functions and Programming in R; Flow control: For loop, If condition, Debugging tools

Data manipulation in R

List Management, Data Transformation, Merging Data Frames, Outlier Detection, Combining multiple vectors

R Database and Statistical Modelling in R

Performing queries, RODBC and DBI Package, Advanced Data handling, Combined and restructuring data frames Statistical Modelling in R; Logical Regression, Hierarchical Clustering PCA for Dimensionality Reduction