R Programming language

R Language is programmer for statistical analysis. Statistical Analysis plays major role in the Data Analysis. R is support to research and analysis purpose. It is free source software using this we can do machine learning concepts, statistical analysis and deployment to the researcher.

 

S.No

Topic

Detailed Syllabus

1

Introduction to R About R, working with tool and  explanation

2

Basic Data Types Data types in R(Numeric IntegerComplexLogicalCharacter) and how to use this Data types in R

3

Objects Creating Objects(Vectors, Matrices, Factors, Arrays, Data frames),uses  and creating objects

4

Functions and Loops Etc., Creating, accessing function in R

5

Data Preparation Data Coding, Data Cleaning, Identification Outlier, Handling Missing Values

6

Statistics Basics concepts in statistics

7

Regression & Types of Regression Linear Regression, Multiple Regression , Logistic Regression

8

Classification Methods Discriminant Analysis – Basics, Rotation Methods involved in DA.

9

Cluster Analysis Cluster Analysis Basics and real life Examples

10

Analysis of Variance Anova , Manova

11

Survival Analysis Types of Non parametric test in Survival and Cox proportional Hazard Rate Model

12

Time series Forecasting

13

Machine Learning Algorithms and Coding for Concepts in ML

14

Backup Classes Doubts clarification for all Session