Unit I- Introduction to Data Analysis and R

Introduction to Data Analysis

Fundamentals of Statistics

Introduction to R and R studies

Introduction and coding rules of R programming


Unit II- Descriptive statistics

Descriptive statistics using R

Data pre-processing

Cross Tabulation

Probability Distribution


Unit III- Inferential Statistics through Hypothesis Tests

Test of Hypothesis– Parametric test

Test of Hypothesis– Non-Parametric test


Unit IV- Predictive Analytics

Regression & Analysis of Variance (ANOVA)

Modelling Non-linear Relations

Logistic Regression

Linear Discriminant Analysis

Quadratic Discriminant Analysis

Factor Analysis and Cluster Analysis


Unit V-Applied Techniques

Multiple Response scoring methods

Market based Analysis

Time Series Analysis