Introduction to Data Science and Statistical Analytics

❖ Introduction to Data Science

❖ Use cases

❖ The need for Business Analytics

❖ Data Science Life Cycle ❖

Different tools available for Data Science Introduction to R

❖ Installing R and R-Studio

❖ R packages and R Operators

❖ if statements and loops (for, while, repeat, break, next), switch case

Data Exploration, Data Wrangling, and R Data Structure

❖ Importing and Exporting data from an external source

❖ Data exploratory analysis

❖ R Data Structure (Vector, Scalar, Matrices, Array, Data frame, List)

❖ Functions, Apply Functions Data Visualization

❖ Bar Graph (Simple, Grouped, Stacked)

❖ Histogram

❖ Pie Chart, Line Chart, Box (Whisker) Plot, Scatter Plot

❖ Correlogram