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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.
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.
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.
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%.
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.
Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.
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.
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.
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 | ||
Final Assessment | |||
Assessment – Learning R Programming for Data Science | 00:10:00 | ||
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 |
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.
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].
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.
Definitely, you can enrol to 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.
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.
This course is accredited by the CPD Certification Service. The CPD Certification Service is a renowned independent accreditation organisation.
This course is accredited by the CPD Certification Service. CPD is widely accepted by employers, professional organizations, academic institutions and governmental authorities in the UK, as well as across the world. A certificate from CPD Certification Service will not only add value to your resume but also showcase your potential to strive towards achieving professional goals.
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. This will provide you with a competitive edge in your career, developing you as a standout candidate among all other applicants and employees.
After successfully completing the course and placing your order for the PDF certificate it will take 24 hours to issue the PDF certificate. The PDF certificate will send to you via email.
After successfully completing the course and placing your order for the hardcopy certificate it will take 9 to 12 business days. The hardcopy certificate will send to you via post.
Once you have completed the course, you will be eligible to order a course transcript from Study Plex. The transcripts act as proof of your studies. The transcript details all the key modules of the course so that you can show them exactly what you have learnt.
You will enjoy the benefits of getting student discounts from thousands of stores where the retailer provides student discounts.
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.
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.
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.
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%.
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.
Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.
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.
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.
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 | ||
Final Assessment | |||
Assessment – Learning R Programming for Data Science | 00:10:00 | ||
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 |
Grow your career by earning CPD UK accredited certificate of achievement and add extra value to your CV. On successful completion of this course, you will be eligible to order your CPD UK accredited certificate of achievement to demonstrate your new skills. You can also share this certificate with prospective employers and your professional network. The CPD accredited certificate of achievement can be obtained in PDF format at a nominal fee of £12; there is an additional fee to get a printed copy certificate which is £25.
On successful completion of the course assessment, you will be eligible to order the QLS 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. This will provide you with a competitive edge in your career add extra value to your CV. You can also share this certificate with prospective employers and your professional network which will help you to drive a successful career in your chosen industry. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65.
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.
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].
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.
Definitely, you can enrol to 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.
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.
This course is accredited by the CPD Certification Service. The CPD Certification Service is a renowned independent accreditation organisation.
This course is accredited by the CPD Certification Service. CPD is widely accepted by employers, professional organizations, academic institutions and governmental authorities in the UK, as well as across the world. A certificate from CPD Certification Service will not only add value to your resume but also showcase your potential to strive towards achieving professional goals.
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. This will provide you with a competitive edge in your career, developing you as a standout candidate among all other applicants and employees.
After successfully completing the course and placing your order for the PDF certificate it will take 24 hours to issue the PDF certificate. The PDF certificate will send to you via email.
After successfully completing the course and placing your order for the hardcopy certificate it will take 9 to 12 business days. The hardcopy certificate will send to you via post.
Once you have completed the course, you will be eligible to order a course transcript from Study Plex. The transcripts act as proof of your studies. The transcript details all the key modules of the course so that you can show them exactly what you have learnt.
You will enjoy the benefits of getting student discounts from thousands of stores where the retailer provides student discounts.