R Programming for Data Science

What's included:

• Grab an enrolment letter as a gift!
• Eligibility to earn a CPD & QLS endorsed certificate.
• Fully Online Recorded Class
• 24/7 & Lifetime Access
• Online support
• No hidden fees

The R Programming for Data Science course is a perfect fit for those looking to build solid foundations in statistical computing and data analysis. R remains a leading tool in data science, widely used in sectors ranging from healthcare and finance to tech and academia. This course guides learners through the basics of R syntax, data handling, visualisation, and statistical modelling, setting the stage for a deeper understanding of data science as a discipline.

Whether you’re brushing up your knowledge or stepping into the world of data science for the first time, this course equips you with the logic and structure required to approach data critically. It takes the complexity out of programming and places the emphasis on what matters most—making decisions through data. With every module, you’ll come closer to decoding the layers of data science while developing a command over the R language. If you’re eyeing a future in analytics, data science is no longer just an option; it’s a necessity—and this course gets you speaking its language.

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Learning Outcomes

• Understand core R syntax and its application in data science.
• Learn to manipulate and clean data using R libraries.
• Explore data visualisation for better interpretation of data science.
• Perform statistical modelling within various data science contexts.
• Apply R tools for structured data analysis and decision-making.

Who is this course for?

• Beginners looking to enter the field of data science.
• Analysts wanting to explore data science through R programming.
• Students curious about data science tools and techniques.
• Professionals seeking a data science career enhancement.
• Anyone needing data science knowledge in their current job.

Career Path & UK Average Salaries

• Data Analyst – £30,000 to £50,000 per year
• Data Scientist – £45,000 to £75,000 per year
• R Programmer – £40,000 to £60,000 per year
• Business Intelligence Analyst – £35,000 to £55,000 per year
• Quantitative Analyst – £50,000 to £90,000 per year
• Statistical Modeller – £45,000 to £70,000 per year