Certificate in Data Science with R

Thursday, 12 February 2026 22:39:43

International applicants and their qualifications are accepted

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Overview

Overview

Learn Data Science with R and unlock the power of statistical analysis and visualization.

Designed for beginners and intermediate learners, this certificate program teaches the fundamentals of data science using R, a popular programming language for statistical computing.

Gain hands-on experience with data manipulation, visualization, and modeling techniques, and develop skills in data wrangling, machine learning, and data mining.

Perfect for data analysts, business professionals, and students looking to transition into a data science career, this program provides a comprehensive introduction to the field.

Take the first step towards a career in data science and explore the world of data analysis with R. Enroll now and start learning!

Data Science with R is an exciting opportunity to unlock the power of data analysis and visualization. This course teaches you how to extract insights from data using the popular programming language R. With Data Science with R, you'll gain hands-on experience in data manipulation, statistical modeling, and machine learning. You'll also learn how to communicate complex findings effectively through reports and presentations. Upon completion, you'll be equipped with the skills to drive business decisions and advance your career in Data Science and related fields. Career prospects are vast, with opportunities in finance, healthcare, and more.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Data Preprocessing with R •
Introduction to R Programming •
Statistical Inference in R •
Machine Learning with R •
Data Visualization with R •
Time Series Analysis in R •
Text Mining with R •
Regression Analysis in R •
Clustering and Dimensionality Reduction in R •
Advanced Topics in Data Science with R

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Data Science with R

The Certificate in Data Science with R is a popular online course that teaches students the fundamentals of data science using the R programming language.
This course is designed to equip students with the skills needed to extract insights from data and make informed decisions in various industries.
Upon completion of the course, students can expect to learn data preprocessing, visualization, modeling, and machine learning techniques using R.
The learning outcomes of the course include understanding data structures, data visualization, and statistical modeling, as well as applying machine learning algorithms to real-world problems.
The duration of the course is typically 4-6 months, with students completing a series of assignments and projects to demonstrate their understanding of the material.
Industry relevance is a key aspect of the course, as it teaches students how to apply data science techniques to real-world problems in fields such as business, healthcare, and finance.
The course is taught by experienced instructors who have a strong background in data science and R programming.
Upon completion of the course, students can expect to earn a certificate in Data Science with R, which can be used to enhance their career prospects in the field of data science.
The course is also highly relevant to the current job market, with many companies looking for professionals who have expertise in data science and R programming.
Overall, the Certificate in Data Science with R is a valuable course that can help students develop the skills needed to succeed in the field of data science.

Why this course?

Certificate in Data Science with R is a highly sought-after qualification in today's market, particularly in the UK. According to a survey by the UK's Data Science Council of America, the demand for data scientists is expected to increase by 45% by 2025, with the average salary ranging from £60,000 to £100,000 per annum.
Year Job Openings Average Salary (£)
2020 10,000 55,000
2021 12,000 60,000
2022 15,000 65,000
2023 18,000 70,000
2024 20,000 75,000
2025 25,000 80,000

Who should enrol in Certificate in Data Science with R ?

Data Science with R is ideal for
analysts and data analysts looking to upskill and reskill in the UK job market, where data science is in high demand.
business professionals seeking to leverage data-driven insights to inform business decisions and drive growth.
statisticians and mathematicians looking to transition into a career in data science, where R is a widely used programming language.
academics and researchers seeking to apply statistical techniques and data analysis methods to real-world problems.