Self-Paced Online Learning
Learn on your own accord, wherever you want, whenever you want.
4 Instalment Plan on checkout
You have the option to choose from four easy instalment plans.
14 Days Money Back Guarantee
Hassle-free guarantee on purchase, ensuring quality & your peace of mind.
Self-Paced Online Learning
Learn on your own accord, wherever you want, whenever you want.
3 Installment Plan on checkout
You have the option to choose from four easy instalment plans.
14 Days Money Back Guarantee
Hassle-free guarantee on purchase, ensuring quality & your peace of mind.
Course Fee
£29
£125
77% OFF
👉 CPD UK Accredited PDF Certificate Included
4 interest-free payments of £7.25
This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets.
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.
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 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 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 can grasp from each section. In the assessment pass mark is 60%.
After successfully passing the MCQ exam 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 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.
After successfully passing the MCQ exam, you will be eligible to order your certificate of achievement as proof of your new skill. You will get the CPD-accredited PDF certificate free of cost, which is included with the course. There is an additional fee to obtain a printed copy of the CPD-accredited certificate, which is £35.
Google Reviews
4.8 Stars | 12 Reviews
Verified
Excellent Introduction to Data Science
This course was an excellent introduction to data science using R. As a beginner, I found the content accessible and the examples easy to follow, which helped me build a solid foundation.
Nicole Quinn
Verified
Perfect for R Beginners
Having never used R before, I was apprehensive about learning a new programming language. However, the course broke down the basics in a way that was easy to understand and apply.
Brooke Power
Verified
Expert Instruction
The instructor was clearly knowledgeable, and they explained complex concepts in a way that was both engaging and easy to grasp. Their passion for data science was evident and inspiring.
Charles George
Verified
Valuable for Experienced Practitioners
As someone with a background in data analysis, I appreciated the advanced techniques covered. The course enhanced my skills and introduced me to new tools in R that I hadn’t used before.
Georgina Kemp
Verified
Comprehensive and Thorough
The course provided a comprehensive overview of data science, covering everything from data cleaning to visualization. Each section was well-structured and built on the previous ones seamlessly.
Kiera Crawford
Verified
Engaging and Interactive
The interactive elements such as coding exercises and projects kept me engaged and allowed me to apply what I learned immediately, reinforcing key concepts effectively.
Callum Shepherd
Verified
Flexible Learning at Its Best
The ability to learn at my own pace was incredibly convenient. The course’s online format fit perfectly into my busy schedule, allowing me to revisit complex topics as needed.
Dylan Howarth
Verified
Practical Application Focus
The course emphasized practical applications of data science, which helped me apply the concepts to real-world scenarios. This approach made the learning experience highly relevant and useful.
Lydia Barnett
Verified
Supportive Community
The community forums were a great place to ask questions and share insights with fellow learners. It was beneficial to interact with others who were at different stages of the learning process.
Bethany Peacock
Verified
Boosted My Career Prospects
Completing this course has boosted my career prospects significantly. The skills and knowledge I gained are highly sought after, and I feel more confident applying for data-driven positions.
Thomas Morgan
Verified
Strengthened My Analytical Skills
The course strengthened my analytical skills, particularly in data manipulation and visualization. I now feel more competent when handling complex datasets.
Maddison Parkinson
Verified
User-Friendly Platform
The online platform was user-friendly and intuitive, making it easy to navigate through the course materials and track my progress.
Tyler Douglas
This course was an excellent introduction to data science using R. As a beginner, I found the content accessible and the examples easy to follow, which helped me build a solid foundation.
Having never used R before, I was apprehensive about learning a new programming language. However, the course broke down the basics in a way that was easy to understand and apply.
The instructor was clearly knowledgeable, and they explained complex concepts in a way that was both engaging and easy to grasp. Their passion for data science was evident and inspiring.
As someone with a background in data analysis, I appreciated the advanced techniques covered. The course enhanced my skills and introduced me to new tools in R that I hadn’t used before.
The course provided a comprehensive overview of data science, covering everything from data cleaning to visualization. Each section was well-structured and built on the previous ones seamlessly.
The interactive elements such as coding exercises and projects kept me engaged and allowed me to apply what I learned immediately, reinforcing key concepts effectively.
The ability to learn at my own pace was incredibly convenient. The course’s online format fit perfectly into my busy schedule, allowing me to revisit complex topics as needed.
The course emphasized practical applications of data science, which helped me apply the concepts to real-world scenarios. This approach made the learning experience highly relevant and useful.
The community forums were a great place to ask questions and share insights with fellow learners. It was beneficial to interact with others who were at different stages of the learning process.
Completing this course has boosted my career prospects significantly. The skills and knowledge I gained are highly sought after, and I feel more confident applying for data-driven positions.
The course strengthened my analytical skills, particularly in data manipulation and visualization. I now feel more competent when handling complex datasets.
The online platform was user-friendly and intuitive, making it easy to navigate through the course materials and track my progress.
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.
Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards.
For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days.
Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment.
Yes, you can pay via instalments at checkout.
Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace.
No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner’s ability to learn new things, diversify their skills, and expand their horizons.
After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org
