Module 1 Basic of R Language
Introduction to R
- Overview and history of R
- Introduction of R Studio
- Installing and configuration of R
- Introduction to R Console
Programming in R
- Programming Structure of R
- R data type and objects
- R language Operators
- Various operators
- Branching & Looping
Function In R language:
- R important built-in functions
- General functions
- Math functions
- Statistical functions
- Write function in R
- When should we write function?
- Functions with condition
Vector, Array and Matrix:
- Introduction to vector
- Types of vector
- Matrix create,print,add columns, slice
- Array in R
Factor In R:
- Introduction to Factor
- Types of Factor
Data Frames and List
- What is a Data Frame?
- How to create a data frame •
- Append a Column to Data Frame
- Select a column of a data frame
- Subset a data frame
- List Using vector array and matrix
Package in R :
- Package Introduction
- Installing package
- Loading package manually
- Data Reshaping in R
Module 2 ~ R Charts, Graphs and Interfaces
Graphs in R
- History and Graphical representation of data \
- Different chart Functions
- Different type of charts and graphs
- Pie charts,Boxplots,Bar charts
- Histograms, Lines Graphs and Scatter plots
Interfaces in R
- Data import in R
- Data import form excel format
- Csv file format
- Execl format
- Binary files
- Xml and json files
- Web Data
Exporting data in R
- Writing data in tag delimited text file
- Exporting data in excel file
- Export data in stata binary format
- Export data in SAS format
Module 3 Data Manipulation and Modeling
Data Manipulation with R
- Feature Engineering
- Label Encoding
- One Hot Encoding
• Predictive Modeling using Machine Learning in R
- Linear Regression
- Decision Tree
- Random Forest
- Multipul Regression
- Logistic Regerssion
Module 4 Project Work
Minor Project
- Case study using R
- Project work using shiny web & dashboard
