Introduction to R

 

This course will cover basic concepts of R and statistical programming in R.

Course Overview

1. Introduction to R
R Basics, background.
Comprehensive R Archive Network
Demo of Installing R On windows from CRAN Website
Installing R Studios on Windows OS
Setting Up R Workspace.
Getting Help for R-How to use help system
Installing Packages – Loading And Unloading Packages

2. Starting with R : Getting familiar with basics
Operators in R – Arithmetic,Relational,Logical and Assignment Operators
Variables,Types Of Variables,Using variables
Conditional statements,ifelse(),switch
Loops: For Loops,While Loops,Using Break statement,Switch

3. The R Programming Language- Data Types And Functions
Use R for simple maths, creating data objects from the keyword.
How to make different type of data objects.
Understand the various data types that the language supports.
Introduction to Functions in R
Types of data structures in R
Arrays And Lists- Create Access the elements
Vectors – Create Vectors,Vectorized Operations,Power of Vectorized Operations
Matrices- Building the first matrices,Matrix Operations,Subsetting,visualising subset,Visualising with matplot()
Factors – Creating a Factor
Data Frames- create and filter data frames,Building And Merging data frames.

4. Functions And Importing data into R
Function Overview – Naming Guidelines
Arguments Matching,Function with Multiple Arguments
Additional Arguments using Ellipsis,Lazy Evaluation
Multiple Return Values
Function as Objects,Anonymous Functions
Importing and exporting Data into R- importing from files like excel,csv and minitab.
Import from URL and excel Files
Import from database.

5. Data Descriptive Statistics,Tabulation,Distribution
Summary Statistics for Matrix Objects. apply() Command.Converting an Object into a Table Histograms, Stem and Leaf Plot, Density Function. Normal Distribution

6. Graphics in R – Types of graphics
Bar Chart,Pie Chart,Histograms- Create and edit.
Box Plots- Basics of Boxplots- Create and Edit
Visualisation in R using ggplot2.
More About Graphs: Adding Legends to Graphs Adding Text to Graphs, Orienting the Axis Label.

7.Special utility functions
Practice assignment

Features

Teaching Hours

Assignments

Project Hours

Hands on Coding Hours

eLearning Dashboard

Even if you miss a class or a new tool comes in, you can always check in to learn the latest.

Job Assistance Program

We will make sure you get a chance to prove your worth.

 

Real world projects

Add impressive projects to your portfolio.

 

Hands on coding

Practice make you perfect, as we strongly believe in learning by practice.

 

Enough of research, comparison and heads up, lets get started and get going!

ENROLL NOW!
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