Data Science with R Programming

★★★ 2685+ Positive Reviews from Students! ★★★

What you will get?

• Free Microsoft Office Course with CPD Accredited PDF certificate
• Free CPD UK Accredited PDF Certificate from Lead Academy
• Free Course Completion PDF Certificate from Lead Academy
• Free MCQ Exam Included
• Lifetime Course Access
• Updated Training Materials

Are you looking to begin your R programming career or want to develop more advanced skills in R programming? Then this data science with R programming course will set you up with a solid foundation to become a confident data analyst and help you to develop your expertise in R programming.

This data science with R programming course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world.

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.

Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this data science with R programming course will set you up with a solid foundation to become a confident data analyst and develop more advanced skills. Gain the essentials skills and knowledge you need to propel your career forward as a data analyst.

The data science with R programming course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a data analyst.

This comprehensive data science with R programming course is the perfect way to kickstart your career in the field of R programming. This data science with R programming course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.

If you’re interested in working as a data analyst or want to learn more skills on R programming but unsure of where to start, then this data science with R programming course will set you up with a solid foundation to become a confident data analyst and develop more advanced skills.

As one of the leading course providers and most renowned e-learning specialists online, we’re dedicated to giving you the best educational experience possible. This course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.

Why Choose This Data Science with R Programming Course:

• Boost your skills in R programming
• Endorsed by The Quality Licence Scheme
• Accredited by The CPD UK and International Practitioners of Holistic Medicine (IPHM)
• Special Offer - Free Course Completion PDF Certificate, Data Analysis, MCQ Based Exam & Industry Expert Support Included
• Dual (CPD UK and IPHM) recognised accredited certificate in 1 course
• Learn from industry experts
• Lifetime Access
• High-quality e-learning study materials
• Self-paced, no fixed schedules
• 24/7 customer support through email
• Available to students anywhere in the world
• Study in a user-friendly, advanced online learning platform

***Additional GIFT***

• Course Completion PDF Certificate, MCQ Exam & Industry Expert Support Included
• Get a bonus Data Analysis course for FREE
• 2 Recognised Accreditation (CPD UK and IPHM) in 1 Course

So, what are you thinking about! Start getting the benefits by enrolling today!

Certificate of Completion

Digital certificate - Included

CPD UK Accredited Certificate of Achievement

Digital certificate - Included

The data science with R programming is a popular training course, ideal for anyone who is looking to kickstart their career as a data analyst, as well as professionals who want to test their existing skills and knowledge. If you want to gain an in-depth understanding of R programming, then this program is perfect for you.

Course Syllabus:

We have divided the data science with R programming course into 155 user-friendly modules, covering all fundamental areas of R programming to provide learners with the relevant skills and industry knowledge to take their career to the next level.

Data Science Overview

• Introduction to Data Science
• Data Science Career of The Future
• What is Data Science
• Data Science As a Process
• Data Science Toolbox
• Data Science Process Explained
• What’s Next

R and RStudio

• Engine and Coding Environment
• Installing R and RStudio
• RStudio a Quick Tour

Introduction to Basics

• Arithmetic with R
• Variable Assignment
• Basic Data Types in R

Vectors

• Creating a Vector
• Naming a Vector
• Arithmetic Calculations on Vectors
• Vector Selection
• Selection by Comparison

Matrices

• What’s a Matrix
• Analyzing Matrices
• Naming a Matrix
• Adding Columns and Rows to a Matrix
• Selection of Matrix Elements
• Arithmetic with Matrices

Factors

• What’s a Factor
• Categorical Variables and Factor Levels
• Summarizing a Factor
• Ordered Factors

Data Frames

• What’s a Data Frame
• Creating a Data Frame
• Selection of Data Frame Elements
• Conditional Selection
• Sorting a Data Frame

Lists

• Why Would You Need Lists
• Creating a List
• Selecting Elements From a List
• Adding More Data to The List

Relational Operators

• Equality
• Greater and Less Than
• Compare Vectors
• Compare Matrices

Logical Operators

• AND, OR, NOT Operators
• Logical Operators with Vectors and Matrices
• Reverse The Result
• Relational and Logical Operators Together

Conditional Statements

• The IF Statement
• IF…ELSE
• The ELSEIF Statement

Loops

• Write a While Loop
• Looping with More Conditions
• Break Stop The While Loop
• What’s a For Loop
• Loop Over a Vector
• Loop Over a List
• Loop Over a Matrix
• For Loop with Conditionals
• Using Next and Break with For Loop

Functions

• What Is a Function
• Arguments Matching
• Required and Optional Arguments
• Nested Functions
• Writing Own Functions
• Functions with No Arguments
• Defining Default Arguments in Functions
• Function Scoping
• Control Flow in Functions

R Packages

• Installing R Packages
• Loading R Packages
• Different Ways to Load a Package

The Apply Family - Lapply

• What Is Lapply and When Is Used
• Use Lapply with User-Defined Functions
• Lapply and Anonymous Functions
• Use Lapply with Additional Arguments

The Apply Family - Sapply & Vapply

• What Is Sapply
• How to Use Sapply
• Sapply with Your Own Function
• Sapply with a Function Returning a Vector
• When Can’t Sapply Simplify
• What Is Vapply and Why Is It Used

Useful Functions

• Mathematical Functions
• Data Utilities

Regular Expressions

• Grepl & Grep
• Metacharacters
• Sub & Gsub
• More Metacharacters

Dates And Times

• Today and Now
• Create and Format Dates
• Create and Format Times
• Calculations with Dates
• Calculations with Times

Getting and Cleaning Data

• Get and Set Current Directory
• Get Data From The Web
• Loading Flat Files
• Loading Excel Files

Plotting Data in R

• Base Plotting System
• Base Plots Histograms
• Base Plots Scatterplots
• Base Plots Regression Line
• Base Plots Boxplot

Data Manipulation With dplyr

• Introduction to dplyr Package
• Using The Pipe Operator (%>%)
• Columns Component Select()
• Columns Component Rename() and Rename_with()
• Columns Component Mutate()
• Columns Component Relocate()
• Rows Component Filter()
• Rows Component Slice()
• Rows Component Arrange()
• Rows Component Rowwise()
• Grouping of Rows Summarise()
• Grouping of Rows Across()
• Covid-19 Analysis Task

Method of Assessment

On successful completion of the course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically and the results will be given to you immediately.

Certificate of Completion

On completion of the data science with R programming course, you will be eligible to obtain your free PDF & Hardcopy certificate of course completion.

Certificate of Achievement

Endorsed Certificate from Quality Licence Scheme

After successfully passing the MCQ exam you will be eligible to obtain data science with R programming at QLS level 5 Endorsed Certificate by Quality Licence Scheme. 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65.

CPD UK and IPHM Accredited Certificate of Achievement

On successful completion of the data science with R programming course, you will be eligible to order your CPD UK and IPHM accredited certificate of achievement (dual certificate) as proof of your new skill. You can also share this certificate with prospective employers and your professional network. You/your employer can verify your certificate through our website.

This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming.

This data science with R programming course is felicitous for those, who want to be the best in their jobs.

Whether you are completely new to the field or are an aspiring professional, the data science with R programming course will help open doors to a wide range of professions within your chosen field, helping you to stand out to employers with up to date skills that can be used to enhance your CV.

• There are no academic entry requirements for this data science with R programming course, and it is open to students of all academic backgrounds.
• As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.

This data science with R programming course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry.

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