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R Programming for Data Analysis
Career Education

Massive Savings !! PDF Certificate Included | Level 4 Training | Comprehensive Study Materials | 24/7 Support

Summary

Price
£25 inc VAT
Study method
Online, On Demand
Duration
1.1 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

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Overview

Elevate Your Career with the R Programming for Data Analysis Course

Unlock the full potential of data with R Programming for Data Analysis. This course is designed to help you master R for data analysis, statistical computing, and data visualization. Whether you're exploring data trends, integrating with tools like Power BI, or preparing data for insights using Google Analytics, this course provides a robust foundation for real-world applications in data analysis.

Through practical lessons and real-world scenarios, you’ll build confidence in transforming raw data into meaningful insights. From mastering R syntax to connecting data streams with Power BI and analyzing digital behavior through Google Analytics, you’ll gain a versatile toolkit for modern data analysis across industries.

What Will You Learn

  • Master the fundamentals of R programming for data analysis

  • Visualize insights with R and Power BI integration

  • Clean, structure, and manipulate datasets efficiently

  • Analyze user behavior through Google Analytics and R

  • Build dynamic reports and dashboards for business use

  • Apply statistical models to real-world data scenarios

Key Benefits You Gain from the R Programming for Data Analysis Training

  1. A FREE PDF Certificate immediately after completion from reed
  2. Access to the course resources for life
  3. Complete tutor support is provided
  4. Simple to understand and are taught by professionals
  5. 24/7 Email and live chat assistance and guidance
  1. Freedom to use any device, i.e. computer, tablet, or mobile phone, to access the course on your own schedule

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

1
section
10
lectures
1h 8m
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 07:00
    • 5: Module 5_ Data Visualisation with ggplot2.docx 06:00
    • 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 08:00
    • 9: Module 9_ Programming with R.docx 10:00
    • 10: Final Exam 02:00

Course media

Description

The R Programming for Data Analysis course is tailored to those who want to take control of data in a meaningful way. Whether you're working in marketing, business intelligence, or product strategy, data analysis with R can help you uncover patterns, forecast outcomes, and make smarter decisions. With a strong emphasis on integrating R with Power BI and Google Analytics, the course ensures that you’ll become fluent in interpreting and presenting data effectively.

Learn how to organize, clean, and visualize data using R and apply statistical techniques to drive results. You’ll discover how to automate reporting processes and connect your analyses directly to platforms like Power BI. By leveraging Google Analytics data through R, you’ll understand customer behavior and campaign performance more deeply—making your data analysis efforts more impactful.

This course uses real-world data to illustrate core techniques in data analysis. It emphasizes repeated exposure to tools like Power BI and Google Analytics so you become comfortable switching between platforms, transforming data, and building compelling narratives. Mastering R programming in this way gives you a competitive edge in the evolving world of data analysis.

Who is this course for?

This course is ideal for:

  • Aspiring data analysts seeking to build core analysis skills

  • Professionals using Power BI or Google Analytics in their roles

  • Business strategists wanting to leverage data-driven insights

  • Marketing professionals aiming to enhance digital campaign reporting

  • Students in business, IT, or statistics programs

  • Analysts working with customer behavior and engagement metrics

  • Anyone looking to transition into a data-driven career

  • People aiming to make informed, data-backed decisions

Requirements

There are no official prerequisites for enrolling in the R Programming for Data Analysis course. It is open to all students, regardless of their background or experience level.

Career path

  • Data Analyst

  • Business Intelligence Analyst

  • Digital Marketing Analyst

  • Data Consultant

  • Reporting Analyst

  • Research Analyst

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FAQs

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