Advanced Certificate in Introduction to R for Data Science

Tuesday, 10 February 2026 14:30:21

International applicants and their qualifications are accepted

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Overview

Overview

Learn R for Data Science with our Advanced Certificate program, designed for individuals looking to unlock the power of data analysis.


Gain hands-on experience with R, a popular programming language used in data science, and develop skills in data visualization, statistical modeling, and machine learning.


Our program is perfect for data enthusiasts and professionals seeking to enhance their skills in data analysis, business intelligence, and scientific computing.


With this certificate, you'll be able to extract insights from large datasets, create interactive visualizations, and communicate complex findings effectively.


Take the first step towards a career in data science and explore our Advanced Certificate in Introduction to R for Data Science today!

R is the language of choice for data scientists, and this Advanced Certificate in Introduction to R for Data Science will equip you with the skills to harness its power. Learn to R with ease and unlock a world of data analysis opportunities. This course covers the fundamentals of R, including data manipulation, visualization, and modeling. You'll gain hands-on experience with popular libraries like dplyr, tidyr, and ggplot2. With this certification, you'll be well on your way to a career in data science, with job prospects in finance, healthcare, and more. Stand out in the job market with your R skills.

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

•
Introduction to R for Data Science •
Installing and Configuring R Studio •
Data Types and Variables in R •
Basic Data Manipulation with Dplyr •
Data Visualization with ggplot2 •
Working with Missing Data in R •
Data Cleaning and Preprocessing •
Introduction to Machine Learning in R •
Regression Analysis with Linear Models •
Data Mining 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 Advanced Certificate in Introduction to R for Data Science

The Advanced Certificate in Introduction to R for Data Science is a comprehensive program designed to equip learners with the skills necessary to extract insights from data using the popular programming language R.
This program focuses on teaching learners how to work with R, including data manipulation, visualization, and modeling, with an emphasis on data science applications.
Upon completion of the program, learners can expect to gain the following learning outcomes: effective data analysis and visualization skills, ability to work with various data types and formats, understanding of statistical modeling techniques, ability to communicate insights effectively through reports and presentations.
The duration of the program is typically 4-6 months, with learners expected to dedicate around 10-15 hours per week to complete the coursework.
The industry relevance of this program is high, as R is widely used in various sectors, including finance, healthcare, and social sciences, for data analysis, machine learning, and business intelligence.
Learners who complete this program can expect to find job opportunities in data science, business intelligence, and analytics, with salaries ranging from $60,000 to over $100,000 depending on location and experience.
The program is also beneficial for those looking to upskill or reskill in data science, as it provides a solid foundation in R programming and data science concepts.
Overall, the Advanced Certificate in Introduction to R for Data Science is an excellent choice for individuals looking to launch or advance their careers in data science and related fields.

Why this course?

Advanced Certificate in Introduction to R for Data Science holds immense significance in today's market, particularly in the UK. According to a survey by the UK's Office for National Statistics (ONS), the demand for data scientists is expected to increase by 32% by 2028, with the average salary ranging from £60,000 to £100,000.
Year Percentage Increase
2020 15%
2021 20%
2022 25%
2023 30%
2024 32%

Who should enrol in Advanced Certificate in Introduction to R for Data Science?

Ideal Audience for Advanced Certificate in Introduction to R for Data Science Data analysts, data scientists, and business professionals in the UK looking to upskill in R programming and data analysis, with a focus on those working in industries such as finance, healthcare, and government, where data-driven decision making is increasingly important.
Key Characteristics: Proficiency in basic programming concepts, familiarity with statistical software, and an interest in exploring data analysis and visualization techniques using R.
Career Goals: To enhance career prospects in data science and analytics, increase earning potential, and stay competitive in the job market, with a focus on roles such as data analyst, data scientist, business analyst, and quantitative researcher.
Industry Relevance: The UK's data science and analytics industry is growing rapidly, with the market expected to reach £13.4 billion by 2025, up from £6.4 billion in 2020, according to a report by ResearchAndMarkets.com.