Courses

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 , Integer, Complex, Logical, Character) 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

live Chat