Description

R is most popular and the leading open source language in data science and statistics. Today, R language is the choice for most data science professionals in every industry and academics.

This course is thoroughly described R programming, Visualization and Data Science for beginners using real life examples.

Let’s parse that.

This course does not require a prior quantitative or mathematics background. It starts fundamental concepts of R programming, introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analysing and preparing raw data to visualizing your findings

This course is an introduction to Data Science and Visualization using the R programming language

Real life examples: Every concept is explained with the help of examples, case studies and source code in R wherever necessary

Data Analysis with R: Datatype and Data structures in R, Vectors, Arrays, Matrices, Lists, Data Frames, Reading data from files, Aggregating, Sorting & Merging Data Frames

Learn how to plot using GGPLOT2

Basic knowledge

No prior knowledge of programming is required. Just a basic knowledge of computer applications is enough for this course

R is most popular and the leading open source language in data science and statistics. Today, R language is the choice for most data science professionals in every industry and academics.

This course is thoroughly described R programming, Visualization and Data Science for beginners using real life examples.

Let’s parse that.

This course does not require a prior quantitative or mathematics background. It starts fundamental concepts of R programming, introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analysing and preparing raw data to visualizing your findings

This course is an introduction to Data Science and Visualization using the R programming language

Real life examples: Every concept is explained with the help of examples, case studies and source code in R wherever necessary

Data Analysis with R: Datatype and Data structures in R, Vectors, Arrays, Matrices, Lists, Data Frames, Reading data from files, Aggregating, Sorting & Merging Data Frames

Learn how to plot using GGPLOT2

Basic knowledge

No prior knowledge of programming is required. Just a basic knowledge of computer applications is enough for this course

No prior knowledge of programming is required. Just a basic knowledge of computer applications is enough for this course

What will you learn

Learn R programming from scratch

Use of R Studio

Principles of programming

Concept of vectors in R

Create your own variable

Data types in R

Know the use of while() and for()

Build and use matrices in R

Use matrix() function, learn rbind() and cbind()

Install packages in R

Understand the Normal distribution

Practice working with statistical data in R

Add your own functions into apply statements

R functions

Create your own function

Use of If- Else Statement

Scatter plot

Box plot

Density plot

Histogram Plot

Pie chart

Plot With GGplot2

Learn R programming from scratch

Use of R Studio

Principles of programming

Concept of vectors in R

Create your own variable

Data types in R

Know the use of while() and for()

Build and use matrices in R

Use matrix() function, learn rbind() and cbind()

Install packages in R

Understand the Normal distribution

Practice working with statistical data in R

Add your own functions into apply statements

R functions

Create your own function

Use of If- Else Statement

Scatter plot

Box plot

Density plot

Histogram Plot

Pie chart

Plot With GGplot2

Anyone who want to explore R programming

This course is designed for Beginner to professional

This course is designed for Beginner to professional

• Lifetime Access to Each Course

• Certificate on Completion of Course

• No Extra Charges Or Admin Fees

• Easy Access to Courses

• High Priority Support After Sales.

• Big Discounts on Individual Courses

• Certificate on Completion of Course

• No Extra Charges Or Admin Fees

• Easy Access to Courses

• High Priority Support After Sales.

• Big Discounts on Individual Courses

Find various Data Analyst courses including a diploma in data analytics

Adult education is the non-credential activity of gaining skills and improved education.

Online education is electronically supported learning that relies on the Internet for teacher/student interaction.

A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

Course duration is 24 hours.