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Data Science Course with R Programming

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Data Science Course with R Programming
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  • £25.00 (Ex. VAT)
  • Self-Paced Online Learning
  • Course Duration: 6 Hours
  • Course Duration:
  • High-Quality Study Materials
  • CPD Approved Member
  • Recommended by 96% of Students
  • Instant Access 24/7
  • 352 Students Enrolled

Instructors

7 STUDENTS ENROLLED

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14 Days Money Back Guarantee

GET ACCESS TO OUR ENTIRE COURSE LIBRARY FOR ONLY £99.00 PER YEAR. LEARN MORE

Data Science with R Programming Course Description

Learn the Latest Skills | Accredited by CPD UK and IPHM | Recognised Certificate | MCQ Based Exam & Tutor Support | Interactive Video Training | Lifetime Access

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.

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

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 has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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.


Accredited by CPD UK and IPHM

                                                                   

Accredited by The CPD Certification Service                           International Practitioners of Holistic Medicine (IPHM)


How Will I Benefit?

  • Boost your career in R programming
  • Deepen your knowledge and skills in your chosen field just in hours not years!
  • Study a course that is easy to follow.
  • Save money and time by studying at your convenient time
  • Have access to a tutor whenever you are in need

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


Why Choose this Data Science with R Programming Course:

  • Accredited by The CPD UK
  • Accredited by International Practitioners of Holistic Medicine (IPHM)
  • Lifetime Access
  • High-quality e-learning study materials 
  • Learn the most in-demand skills
  • Self-paced, no fixed schedules
  • MCQ Exam and 24/7 Support Included
  • Available to students anywhere in the world
  • No hidden fee
  • Study in a user-friendly, advanced online learning platform

Who is this data science with R programming course for?

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.


Entry Requirement

  • 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.

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 Achievement

Endorsed Certificate from Quality Licence Scheme

After successfully passing the MCQ exam you will be eligible to obtain the 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 organization 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.

Certificate of Achievement from Lead Academy

After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.


Career path

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.

 

Course Curriculum

Data Science Overview
Introduction to Data Science 00:01:00
Data Science Career of The Future 00:03:00
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 00:02:00
Installing R and RStudio 00:03:00
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 00:04:00
Naming a Vector 00:04:00
Arithmetic Calculations on Vectors 00:06:00
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 00:04:00
Adding Columns and Rows to a Matrix 00:06:00
Selection of Matrix Elements 00:02:00
Arithmetic with Matrices 00:07:00
Factors
What’s a 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 00:02:00
Sorting a Data Frame 00:02:00
Lists
Why Would You Need Lists 00:01:00
Creating a List 00:05:00
Selecting Elements From a List 00:02:00
Adding More Data to The List 00:02:00
Relational Operators
Equality 00:03:00
Greater and Less Than 00:02:00
Compare Vectors 00:02:00
Compare Matrices 00:02:00
Logical Operators
AND, OR, NOT Operators 00:04:00
Logical Operators with Vectors and Matrices 00:03:00
Reverse The Result 00:01:00
Relational and Logical Operators Together 00:06:00
Conditional Statements
The IF Statement 00:03:00
IF…ELSE 00:02:00
The ELSEIF Statement 00:05:00
Loops
Write a While Loop 00:04:00
Looping with More Conditions 00:04:00
Break Stop The While Loop 00:03:00
What’s a For Loop 00:02:00
Loop Over a Vector 00:02:00
Loop Over a List 00:02:00
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 a Function 00:02:00
Arguments Matching 00:02:00
Required and Optional Arguments 00:03:00
Nested Functions 00:01:00
Writing Own Functions 00:02:00
Functions with No Arguments 00:01:00
Defining Default Arguments in Functions 00:03:00
Function Scoping 00:01:00
Control Flow in Functions 00:02:00
R Packages
Installing R Packages 00:01:00
Loading R Packages 00:04:00
Different Ways to Load a Package 00:01:00
The Apply Family - Lapply
What Is Lapply and When Is Used 00:04:00
Use Lapply with User-Defined Functions 00:02:00
Lapply and Anonymous Functions 00:01:00
Use Lapply with Additional Arguments 00:03:00
The Apply Family - Sapply & Vapply
What Is Sapply 00:01:00
How to Use Sapply 00:02:00
Sapply with Your Own Function 00:01:00
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 00:04:00
Data Utilities 00:08:00
Regular Expressions
Grepl & Grep 00:04:00
Metacharacters 00:04:00
Sub & Gsub 00:02:00
More Metacharacters 00:03:00
Dates And Times
Today and Now 00:01:00
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 00:02:00
Plotting Data in R
Base Plotting System 00:02:00
Base Plots Histograms 00:02:00
Base Plots Scatterplots 00:04:00
Base Plots Regression Line 00:02:00
Base Plots Boxplot 00:03:00
Data Manipulation With dplyr
Introduction to dplyr Package 00:03:00
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 Component 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 00:07:00
Assessment
Assessment – Data Science Course with R Programming 00:10:00
Order Your Certificate Now
Order Your Certificate of Achievement 00:00:00
Get Your Insurance Now
Get Your Insurance Now 00:00:00
Feedback
Feedback 00:00:00

REVIEWS


Data Science Course with R Programming
  • £25.00 (Ex. VAT)
  • Self-Paced Online Learning
  • Course Duration: 6 Hours
  • Course Duration:
  • High-Quality Study Materials
  • CPD Approved Member
  • Recommended by 96% of Students
  • Instant Access 24/7
  • 352 Students Enrolled

Instructors

7 STUDENTS ENROLLED

APPROVED MEMBER

14 Days Money Back Guarantee

  • £25.00 (Ex. VAT)
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