Data Visualization with R Programming

Simpliv

Course

Online

£ 10 VAT inc.

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

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

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

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

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Windows
  • Installation
  • Import
  • Programming

Course programme

Introduction 5 lectures 19:42 Course Curriculum Meet Your Instructor Introduction to R Installation of R for Windows Installation of R packages Introduction 5 lectures 19:42 Course Curriculum Meet Your Instructor Introduction to R Installation of R for Windows Installation of R packages Course Curriculum Course Curriculum Course Curriculum Course Curriculum Meet Your Instructor Meet Your Instructor Meet Your Instructor Meet Your Instructor Introduction to R Introduction to R Introduction to R Introduction to R Installation of R for Windows Installation of R for Windows Installation of R for Windows Installation of R for Windows Installation of R packages Installation of R packages Installation of R packages Installation of R packages R Data Type 4 lectures 34:06 Vector Lists & Matrix Array Data Frame R Data Type 4 lectures 34:06 Vector Lists & Matrix Array Data Frame Vector Vector Vector Vector Lists & Matrix Lists & Matrix Lists & Matrix Lists & Matrix Array Array Array Array Data Frame Data Frame Data Frame Data Frame Fundamentals of R 7 lectures 01:09:13 Vectors Logical Operator Conditional Control Statement While Loop For Loop R Functions Create your own function Fundamentals of R 7 lectures 01:09:13 Vectors Logical Operator Conditional Control Statement While Loop For Loop R Functions Create your own function Vectors Vectors Vectors Vectors Logical Operator Logical Operator Logical Operator Logical Operator Conditional Control Statement Conditional Control Statement Conditional Control Statement Conditional Control Statement While Loop While Loop While Loop While Loop For Loop For Loop For Loop For Loop R Functions R Functions R Functions R Functions Create your own function Create your own function Create your own function Create your own function Working with Matrices 4 lectures 23:53 Create matrices Colnames( ) & Rownames( ) Matrix operations Subset matrices Working with Matrices 4 lectures 23:53 Create matrices Colnames( ) & Rownames( ) Matrix operations Subset matrices Create matrices Create matrices Create matrices Create matrices Colnames( ) & Rownames( ) Colnames( ) & Rownames( ) Colnames( ) & Rownames( ) Colnames( ) & Rownames( ) Matrix operations Matrix operations Matrix operations Matrix operations Subset matrices Subset matrices Subset matrices Subset matrices Working with data Frames 5 lectures 38:37 Import Data Operations on data frame Application on data frame Filter your Data Array and Data manipulation Working with data Frames 5 lectures 38:37 Import Data Operations on data frame Application on data frame Filter your Data Array and Data manipulation Import Data Import Data Import Data Import Data Operations on data frame Operations on data frame Operations on data frame Operations on data frame Application on data frame Application on data frame Application on data frame Application on data frame Filter your Data Filter your Data Filter your Data Filter your Data Array and Data manipulation Array and Data manipulation Array and Data manipulation Array and Data manipulation R Data Visualization 2 lectures 16:04 Introduction to Visualization Concept of Plotting in R R Data Visualization

Additional information

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

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Data Visualization with R Programming

£ 10 VAT inc.

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