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Learning R Programming for Data Science

Learning R Programming for Data Science

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Highlights

  • On-Demand course

  • All levels

Description

Recognised Accreditation

This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement.

The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.

What is CPD?

Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.

Benefits of CPD

  • Improve your employment prospects

  • Boost your job satisfaction

  • Promotes career advancement

  • Enhances your CV

  • Provides you with a competitive edge in the job market

  • Demonstrate your dedication

  • Showcases your professional capabilities

What is IPHM?

The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill.

Benefits of IPHM

  • It will help you establish a positive reputation in your chosen field

  • You can join a network and community of successful therapists that are dedicated to providing excellent care to their client

  • You can flaunt this accreditation in your CV

  • It is a worldwide recognised accreditation

What is Quality Licence Scheme?

This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.

Benefits of Quality License Scheme

  • Certificate is valuable

  • Provides a competitive edge in your career

  • It will make your CV stand out

Course Curriculum

Data Science Overview

Introduction to Data Science

00:01:00

Data Science: Career of the Future

00:04:00

What is Data Science.

00:02:00

Data Science as a Process

00:02:00

Data Science Toolbox

00:03:00

Data Science Process Explained

00:05:00

What's Next

00:01:00

R and RStudio

Engine and Coding Environment

00:03:00

Installing R and RStudio

00:04:00

RStudio: A Quick Tour

00:04:00

Introduction to Basics

Arithmetic With R

00:03:00

Variable Assignment

00:04:00

Basic data types in R

00:03:00

Vectors

Creating a Vector

00:05:00

Naming a Vector

00:04:00

Arithmetic Calculations On Vectors

00:07:00

Vector selection

00:06:00

Selection By Comparison

00:04:00

Matrices

What's a Matrix

00:02:00

Analyzing Matrices

00:03:00

Naming a Matrix

00:05:00

Adding Columns and Rows To a Matrix

00:06:00

Selection of Matrix Elements

00:03:00

Arithmetic with Matrices

00:07:00

Factors

What is Factor

00:02:00

Categorical Variables and Factor Levels

00:04:00

Summarizing a Factor

00:01:00

Ordered Factors

00:05:00

Data Frames

What's a Data Frame

00:03:00

Creating a Data Frame

00:04:00

Selection of Data Frame elements

00:03:00

Conditional selection

00:03:00

Sorting a Data Frame

00:03:00

Lists

Why Would You Need Lists

00:01:00

Creating Lists

00:03:00

Selecting Elements From a List

00:03:00

Adding more data to the list

00:02:00

Relational Operators

Equality

00:03:00

Greater and Less Than

00:03:00

Compare Vectors

00:03:00

Compare Matrices

00:02:00

Logical Operators

AND, OR, NOT Operators

00:04:00

Logical Operators with Vectors and Matrices

00:04:00

Reverse the result: (!)

00:01:00

Relational and Logical Operators Together

00:06:00

Conditional Statements

The IF Statement

00:04:00

IF…ELSE

00:03:00

The ELSEIF Statement

00:05:00

Full Exercise

00:03:00

Loops

Write a While Loop

00:04:00

Looping With More Conditions

00:04:00

Break: Stop the While Loop

00:04:00

What's a For Loop

00:02:00

Loop Over a Vector

00:02:00

Loop Over a List

00:03:00

Loop Over a Matrix

00:03:00

For Loop With Conditionals

00:01:00

Using Next and Break With For Loop

00:03:00

Functions

What is Function

00:02:00

Arguments Matching

00:03:00

Required and Optional Arguments

00:03:00

Nested functions

00:02:00

Writing Own Functions

00:03:00

Functions With No Arguments

00:02:00

Defining Default Arguments In Functions

00:04:00

Function Scoping

00:02:00

Control Flow in Functions

00:03:00

R Packages

Installing R Packages

00:01:00

Loading R Packages

00:04:00

Different Ways To Load a Package

00:02:00

The Apply Family - Lapply

What Is Lapply and When Is Used.

00:04:00

Use Lapply With User-Defined Functions

00:03:00

Lapply and Anonymous Functions

00:01:00

Use lapply With Additional Arguments

00:04:00

The Apply Family - Sapply & Vapply

What is Sapply

00:02:00

How to Use Sapply

00:02:00

Sapply With Your Own Function

00:02:00

Sapply With a Function Returning a Vector

00:02:00

When Can't sapply Simplify.

00:02:00

What is Vapply and Why is it Used.

00:04:00

Useful Functions

Mathematical Functions

00:05:00

Data Utilities

00:08:00

Regular Expressions

Grepl & Grep

00:04:00

Metacharacters

00:05:00

Sub & Gsub

00:02:00

More Metacharacters

00:04:00

Dates And Times

Today and Now

00:02:00

Create and Format Dates

00:06:00

Create and Format Times

00:03:00

Calculations with Dates

00:03:00

Calculations with Times

00:07:00

Getting and Cleaning Data

Get and Set Current Directory

00:04:00

Get Data From the Web

00:04:00

Loading Flat Files

00:05:00

Loading Excel files

00:03:00

Plotting Data in R

Base Plotting System

00:03:00

Base plots: Histograms

00:03:00

Base plots: Scatterplots

00:05:00

Base plots: Regression Line

00:03:00

Base plots: Boxplot

00:03:00

Data Manipulation With dplyr

Introduction to Dplyr Package

00:04:00

Using the Pipe Operator (%>%)

00:02:00

Columns component: select()

00:05:00

Columns component: rename() and rename_with()

00:02:00

Columns Component: Mutate()

00:02:00

Columns Ccomponent: Relocate()

00:02:00

Rows Component: Filter()

00:01:00

Rows Component: Slice()

00:04:00

Rows Component: Arrange()

00:01:00

Rows Component: Rowwise()

00:02:00

Grouping of Rows: Summarise()

00:03:00

Grouping of Rows: Across()

00:02:00

COVID-19 Analysis Task

00:08:00

Supplementary Resources

Supplementary Resources - Learning R Programming for Data Science

00:00:00

Certificate of Achievement

Certificate of Achievement

00:00:00

Get Your Insurance Now

Get Your Insurance Now

00:00:00

Feedback

Feedback

00:00:00

About The Provider

Study Plex
Study Plex
Birmingham
Study Plex is a company focused on providing a range of learning and development opportunities, to entertain and educate our learner base through the use of modern learning technology.
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