1. Data Wrangling

Data collection and Data types

DATA Treatment

Issues that affect data

Different ways to cleanse data

dplyr Package

Data.table package

Reshape2 package

Tidyr package

2. Data Transformation

Normalisation of data

Linear transformation

Logarithm transformers

3. Data Processing

4. Introduction to R

Data collection and Data types

Data types in R

BASIC AND Metamodel commands in R

Subsetting data in R

Installing packages

5. Descriptive statistics

EDA - Univariate data

Measures of Central Tendencies

Measures of Dispersion

Scope of Data Analysed - EDA(Fleet Industry)

basic commands in R

6. Bivariate Analysis

Correlation Analysis

types of correlation

Pearsons correlation

Spearmans rank correlation

Kendall rank correlation

Phi coefficient

Tetra choric correlation

Point biserial correlation

Cross-tabs and Associations

7. Exploratory Data Analysis

8. Variance Influence factor

9. Multicollinearity