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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

Summary

Price
£22.99 inc VAT
Study method
Online, On Demand
Duration
1.2 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

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Overview

Unlock the power of data with R programming, one of the most widely used languages in data science and analytics. This course provides a strong foundation in R programming, equipping learners with the skills to manipulate, analyze, and visualize data efficiently. With a focus on practical applications in real-world scenarios, this course ensures you gain the confidence to apply R programming in data-driven decision-making across industries. By the end of the course, you will understand the core principles of R programming and how it integrates into the broader data science ecosystem.

Certificates

Certificate of completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

3
sections
12
lectures
1h 11m
total
    • 1: Module 1_ Introduction to R Programming 05:00
    • 2: Module 2_ Data Structures in R 07:00
    • 3: Module 3_ Data Import and Export 08:00
    • 4: Module 4_ Data Manipulation with dplyr 08:00
    • 5: Module 5_ Data Visualisation with ggplot2 07:00
    • 6: Module 6_ Statistical Analysis in R 07:00
    • 7: Module 7_ Working with Dates and Times 08:00
    • 8: Module 8_ Advanced Data Manipulation 09:00
    • 9: Module 9_ Programming with R 10:00
    • 10: R Programming for Data Science and Analytics Assessment -
    • 11: R Programming for Data Science and Analytics Certificate 01:00
    • 12: R Programming for Data Science and Analytics Review 01:00

Course media

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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FAQs

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