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R Programming for Data Science and Data Analysis
Learner Ground

Free PDF Certificate | Comprehensive PDF Course | For Teachers, Parents & Learners | Beginner to Advanced

Summary

Price
£12 inc VAT
Study method
Online, On Demand
Duration
1.2 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

Overview

R Programming is one of the most powerful tools in today’s data-driven world. This course, R Programming for Data Science and Data Analysis, is designed to help learners understand how R Programming can be applied in solving real-world problems, handling datasets, and performing advanced analysis. With R Programming, learners will gain confidence in exploring, analyzing, and interpreting data effectively.

Certificates

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.docx 05:00
    • 2: Module 2_ Data Structures in R.docx 07:00
    • 3: Module 3_ Data Import and Export.docx 08:00
    • 4: Module 4_ Data Manipulation with dplyr.docx 08:00
    • 5: Module 5_ Data Visualisation with ggplot2.docx 07:00
    • 6: Module 6_ Statistical Analysis in R.docx 07:00
    • 7: Module 7_ Working with Dates and Times.docx 08:00
    • 8: Module 8_ Advanced Data Manipulation.docx 09:00
    • 9: Module 9_ Programming with R.docx 10:00
    • 10: R Programming for Data Science and Data Analysis Assessment -
    • 11: Claim Your Certificate 01:00
    • 12: Review Request For R Programming for Data Science and Data Analysis 01:00

Course media

Description

The demand for data professionals with strong R Programming skills is growing rapidly. This course provides a clear foundation in R Programming for Data Science and Data Analysis, focusing on practical applications and industry relevance. By learning R Programming, you will be equipped to process large datasets, generate insights, and support decision-making across different domains.
Through this program, students will explore why R Programming is a preferred choice among data scientists and analysts. From statistical modeling to data visualization, R Programming is widely recognized for its flexibility, efficiency, and strong support in the global data community.

This course ensures that learners become confident with R Programming and are prepared to apply their knowledge in professional environments. Whether you want to advance your career or start fresh in the field of data, R Programming is the perfect skill to master.

Who is this course for?

This course, R Programming for Data Science and Data Analysis, is suitable for:

  • Beginners who want to start learning R Programming.

  • Students pursuing studies related to Data Science and Data Analysis.

  • Professionals looking to upgrade skills with R Programming.

  • Anyone interested in using R Programming for statistical analysis, reports, or visualization.

Requirements

To join this course, you only need basic readiness:

  • No prior R Programming knowledge required.

  • A computer with internet connection.

  • Basic logical thinking skills.

  • Interest in Data Science and Data Analysis.

Career path

After completing R Programming for Data Science and Data Analysis, learners can pursue roles such as:

  • Data Scientist

  • Data Analyst

  • Business Analyst

  • Research Analyst

  • Machine Learning Assistant

  • Statistical Programmer

Questions and answers

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Reviews

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FAQs

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