R Programming for Data Science and Analytics
Tyne Academy
Advanced Level | Free PDF Certificate Included | 24/7 Tutor Support Included | No Hidden Fees | Lifetime Access
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Overview
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Certificate of completion
Digital certificate - Included
Reed Courses Certificate of Completion
Digital certificate - Included
Will be downloadable when all lectures have been completed.
Curriculum
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Description
R programming is a leading language for statistical computing and graphics, making it essential for anyone pursuing data science and analytics. This course introduces learners to the fundamental concepts of R programming, helping them develop analytical skills, manage large datasets, and create data visualizations that tell a compelling story. Throughout the course, learners will explore the capabilities of R programming to handle complex data challenges, build reproducible analyses, and support strategic business insights. By leveraging R programming, learners will be able to work effectively with data and contribute meaningfully to data-driven projects.
Who is this course for?
This course is ideal for beginners, professionals, and students interested in advancing their career in data science and analytics. Whether you are a complete novice or have some exposure to programming, R programming is designed to help you develop practical skills for data analysis. Professionals in finance, marketing, healthcare, and research will benefit from mastering R programming to improve their data handling and visualization capabilities. Anyone looking to enter the world of data science, analytics, or statistical computing will find this course highly valuable.
Requirements
No prior programming experience is required to begin this course. A basic understanding of mathematics and statistics can be helpful but is not mandatory. Learners should have access to a computer with internet connectivity to install and run R programming software. The course is structured to allow gradual learning, making it easy to progress at your own pace. By dedicating time and focus, learners can quickly gain proficiency in R programming, even if they are starting from scratch.
Career path
Mastering R programming opens doors to numerous career opportunities in the fields of data science, analytics, and statistical computing. With skills in R programming, you can pursue roles such as Data Analyst, Business Analyst, Data Scientist, or Research Analyst. Industries ranging from technology to healthcare and finance highly value professionals proficient in R programming.
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.