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Learning R Programming for Data Science

Learning R Programming for Data Science

Are you looking to begin your career or want to gain more advanced skills? Then this course will help you get one step closer to your professional aspirations and develop your skills and knowledge for a rewarding career.

So, what you are waiting for? Enrol today and expand your knowledge with Study Plex. Up to 80% OFF, offer expires soon!

Learning R Programming for Data Science
 20 days left at this price
14 Days Money Back Guarantee
This course includes:

On demand videos

Articles

Downloadable resource

Practice test

Full lifetime access

Access on Mobile and TV

Certificate of completion

Booking Options

  • Overview

    What you will learn from this course?

    • Gain comprehensive knowledge about R programming
    • Understand the core competencies and principles of R programming
    • Explore the various areas of R programming
    • Know how to apply the skills you acquired from this course in a real-life context
    • Become a confident and expert data analyst

    Course Highlights

    • Course Type: Self-paced online course
    • Duration: 6 hours 14 minutes
    • Tutor Support: Full tutor support is included
    • Customer Support: 24/7 customer support is available

    Learning R Programming for Data Science Course

    Master the skills you need to propel your career forward in R programming. This course will equip you with the essential knowledge and skillset that will make you a confident data analyst and take your career to the next level. This comprehensive learning R programming for data science course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this learning R programming for data science course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career.

    This comprehensive course will teach you the theory of effective R programming practice and equip you with the essential skills, confidence and competence to assist you in the R programming industry. You’ll gain a solid understanding of the core competencies required to drive a successful career in R programming. This course is designed by industry experts, so you’ll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for data analyst or for people who are aspiring to specialise in R programming.

    Enrol in this learning R programming for data science course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates.

    Who is this Course for?

    This comprehensive learning R programming for data science course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this R programming can also take this course.

    Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector.

    Entry Requirements

    This learning R programming for data science course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection.

    Assessment

    This learning R programming for data science course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%.

    Advance Your Career

    This learning R programming for data science course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume.

    Study Plex Subscription

    Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you’ll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team.

    Visit our subscriptions page for more details if you’re interested.

    Why you should train with Study Plex?

    At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include:

    • Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7
    • Expert Tutor Support: You’ll have access to our devoted and dedicated tutor support with all of our courses whenever you need it.
    • Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course.
    • Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course’s quality. There is a 14-day time limit on this option (according to the terms and conditions).
    • Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option.
    • Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means.
  • Curriculum

    This comprehensive course is designed by industry experts; this course will provide you with the skills and knowledge you need to succeed. Not only will it make you more lucrative to potential employers, but it will also give you the confidence to apply for that dream job.

    This course is divided into bite-sized modules to make it easy to follow. The modules of this course cover all essential areas to provide you with the appropriate skills and industry knowledge to take your career to the next level. Whether you are travelling around the world or juggling work and family, this course can be completed anytime, anywhere. This flexibility enables you to learn at your own pace, fitting your studies around your current lifestyle.

    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
  • Accreditation

    This Learning R Programming for Data Science is accredited by Continuing Professional Development (CPD) and International Practitioners of Holistic Medicine (IPHM), and endorsed by Quality License Scheme

    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
  • Certification

    Upon successful completion of this Learning R Programming for Data Science, you will be qualified to download your free PDF certificate of course completion. It is advised, nevertheless, that you have a certificate and transcript that has been endorsed by the Quality License Scheme or accredited by CPD & IPHM which is highly valued and recognised by the employers in the UK and around the world.

    CPD and IPHM Accredited Certificate

    Upon successful completion of this Learning R Programming for Data Science, you will be eligible to order your CPD and IPHM accredited certificate of achievement (dual certificate) to demonstrate your new skills. A certificate from CPD Certification Service adds value to your professional goal and achievement because CPD is widely acknowledged by employers, professional organisations, and academic institutions. Whereas, an IPHM accredited certificate guarantees the quality and expertise that will help you establish a positive reputation within your targeted industry

    Numerous professional organisations and governmental agencies in the UK and other countries accept certifications that have been certified by CPD and IPHM. This means you can share this certificate with prospective employers and your professional network.

    The CPD and IPHM accredited certificate of achievement (dual certificate) can be obtained in PDF format at the nominal fee of £12; there is an additional fee to get a printed copy certificate which is £39.

    Endorsed Certificate from Quality Licence Scheme

    On successful completion of the Learning R Programming for Data Science, you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a renowned national awarding body for supplying top-notch vocational certifications across a wide range of industries. Thus, you can share this certificate with prospective employers and your professional network which will help you drive a successful career in your chosen industry. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate

  • Reviews

    Jayden

    Verified Customer

    Tutor explain concept which is very easy to understand and give me a really satisfying practice that i can do by my own self.

    Poppy

    Verified Customer

    Excellent course. Support material and lectures very well prepared. Explanations are clear and objective.

    Hobbs

    Verified Customer

    I got this course as a gift from my sister and I must say this is the best gift ever I had in my life! Thank you.

    Payne

    Verified Customer

    I can watch videos anytime, learn from them and study the materials whenever I want. Best academy!

    Maisie

    Verified Customer

    I truly enjoyed every videos and those were full of knowledgeable and to the point. I would like to take further more courses.

  • FAQ
    • Q

      What happens after I register ?

    • A After successfully registering for the course you will receive an email regarding your login details which will allow you access to your online training course.
    • Q

      Troubling to get the login details

    • A Upon successfully enrolling for a course you will receive an email with your login details. Kindly check your inbox/junk folder and spam folder, or you can contact our award-winning customer support team via [email protected]
    • Q

      Can I gift a course to someone else?

    • A Sure, you can gift any of our courses to your friend or dearest one. After purchasing any course as a gift kindly provide the learner’s details via [email protected], and then we will send your gift to the learner with the login details of the course.
    • Q

      I am outside the UK; can I enrol for this course?

    • A Definitely, you can enrol for this course. This is a self-paced online video training course. Once you will purchase the course you will receive your login details via email. As you will have lifetime access to the login portal, hence you can complete your course at your convenient time.
    • Q

      Can I study from a smartphone or a tab?

    • A Our online courses come with lifetime access with no time limit for completion. Each course is fully accessible from a tablet, mobile or laptop, as long as there is a secure internet connection.
    • Q

      What is the next step after completing the course?

    • A Upon successfully completing the course you can order your certificate of achievement as proof of your new skill.

    Ask a Question

What you will learn from this course?

  • Gain comprehensive knowledge about R programming
  • Understand the core competencies and principles of R programming
  • Explore the various areas of R programming
  • Know how to apply the skills you acquired from this course in a real-life context
  • Become a confident and expert data analyst

Course Highlights

  • Course Type: Self-paced online course
  • Duration: 6 hours 14 minutes
  • Tutor Support: Full tutor support is included
  • Customer Support: 24/7 customer support is available

Learning R Programming for Data Science Course

Master the skills you need to propel your career forward in R programming. This course will equip you with the essential knowledge and skillset that will make you a confident data analyst and take your career to the next level. This comprehensive learning R programming for data science course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this learning R programming for data science course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career.

This comprehensive course will teach you the theory of effective R programming practice and equip you with the essential skills, confidence and competence to assist you in the R programming industry. You’ll gain a solid understanding of the core competencies required to drive a successful career in R programming. This course is designed by industry experts, so you’ll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for data analyst or for people who are aspiring to specialise in R programming.

Enrol in this learning R programming for data science course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates.

Who is this Course for?

This comprehensive learning R programming for data science course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this R programming can also take this course.

Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector.

Entry Requirements

This learning R programming for data science course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection.

Assessment

This learning R programming for data science course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%.

Advance Your Career

This learning R programming for data science course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume.

Study Plex Subscription

Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you’ll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team.

Visit our subscriptions page for more details if you’re interested.

Why you should train with Study Plex?

At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include:

  • Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7
  • Expert Tutor Support: You’ll have access to our devoted and dedicated tutor support with all of our courses whenever you need it.
  • Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course.
  • Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course’s quality. There is a 14-day time limit on this option (according to the terms and conditions).
  • Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option.
  • Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means.

This comprehensive course is designed by industry experts; this course will provide you with the skills and knowledge you need to succeed. Not only will it make you more lucrative to potential employers, but it will also give you the confidence to apply for that dream job.

This course is divided into bite-sized modules to make it easy to follow. The modules of this course cover all essential areas to provide you with the appropriate skills and industry knowledge to take your career to the next level. Whether you are travelling around the world or juggling work and family, this course can be completed anytime, anywhere. This flexibility enables you to learn at your own pace, fitting your studies around your current lifestyle.

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

This Learning R Programming for Data Science is accredited by Continuing Professional Development (CPD) and International Practitioners of Holistic Medicine (IPHM), and endorsed by Quality License Scheme

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

Upon successful completion of this Learning R Programming for Data Science, you will be qualified to download your free PDF certificate of course completion. It is advised, nevertheless, that you have a certificate and transcript that has been endorsed by the Quality License Scheme or accredited by CPD & IPHM which is highly valued and recognised by the employers in the UK and around the world.

CPD and IPHM Accredited Certificate

Upon successful completion of this Learning R Programming for Data Science, you will be eligible to order your CPD and IPHM accredited certificate of achievement (dual certificate) to demonstrate your new skills. A certificate from CPD Certification Service adds value to your professional goal and achievement because CPD is widely acknowledged by employers, professional organisations, and academic institutions. Whereas, an IPHM accredited certificate guarantees the quality and expertise that will help you establish a positive reputation within your targeted industry

Numerous professional organisations and governmental agencies in the UK and other countries accept certifications that have been certified by CPD and IPHM. This means you can share this certificate with prospective employers and your professional network.

The CPD and IPHM accredited certificate of achievement (dual certificate) can be obtained in PDF format at the nominal fee of £12; there is an additional fee to get a printed copy certificate which is £39.

Endorsed Certificate from Quality Licence Scheme

On successful completion of the Learning R Programming for Data Science, you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a renowned national awarding body for supplying top-notch vocational certifications across a wide range of industries. Thus, you can share this certificate with prospective employers and your professional network which will help you drive a successful career in your chosen industry. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate

Jayden

Verified Customer

Tutor explain concept which is very easy to understand and give me a really satisfying practice that i can do by my own self.

Poppy

Verified Customer

Excellent course. Support material and lectures very well prepared. Explanations are clear and objective.

Hobbs

Verified Customer

I got this course as a gift from my sister and I must say this is the best gift ever I had in my life! Thank you.

Payne

Verified Customer

I can watch videos anytime, learn from them and study the materials whenever I want. Best academy!

Maisie

Verified Customer

I truly enjoyed every videos and those were full of knowledgeable and to the point. I would like to take further more courses.

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