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R Programming for Data Analysis
Learning Facility

PDF Certificate Included | Level 3 Training | CPD IQ Accredited | Lifetime Access

Summary

Price
£21.99 inc VAT
Study method
Online, On Demand
Duration
0.9 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of Completion - Free
  • Reed Courses Certificate of Completion - Free

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Overview

R Programming for Data Analysis

R Programming for Data Analysis is designed to help learners explore the world of data analysis and business analysis through practical applications of R. This course covers essential techniques for data analysis, equipping participants with the skills to manipulate, visualize, and interpret data effectively. By understanding how data analysis can drive business analysis, learners will gain insights into decision-making processes and strategies that are informed by accurate data interpretation. Along the way, learners will also see connections to Python, highlighting how these tools complement each other in modern data analysis and business analysis workflows.

Through this course, learners will develop a strong foundation in data analysis and business analysis principles. The curriculum emphasizes practical applications that demonstrate how R can be used to solve real-world problems, while also providing context on how Python can enhance and support data analysis and business analysis efforts. By the end, participants will be confident in applying these skills to various business analysis scenarios and data analysis projects.

What you will learn from taking this course:

  • Master the fundamentals of R programming for data analysis and business analysis

  • Learn how to clean, organize, and visualize data for effective business analysis

  • Understand how Python complements R in data analysis and business analysis workflows

  • Gain practical skills to interpret data and support business analysis decisions

  • Build a foundation for careers in data analysis, business analysis, and related fields

Through this course, you will gain access to a range of training materials that are available online, allowing you to learn at your own pace and on your own schedule. By upgrading your skills and knowledge, you'll be better prepared to succeed in today's highly competitive job market, and position yourself for future growth and advancement. So if you're ready to take your career to the next level, enrol in this professional skills training course today.

Key Features of this Course

  • Free PDF Certificate Included
  • Instant Access to the course materials
  • Lifetime Access

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
9
lectures
0h 55m
total

    • 1: Module 1 Introduction to R Programming 09:00
    • 2: Module 2 Introduction to Workspaces and Data Management 08:00
    • 3: Module 3 Introduction to R Objects 08:00
    • 4: Module 4 Introduction to Conditional Statements and Loops 08:00
    • 5: Module 5 Introduction to Data Visualization Techniques 08:00
    • 6: Module 6 Introduction to Statistical Functions in R 12:00
    • 7: Assignment -

    • 8: Review Request 01:00

    • 9: Claim Your Certificate 01:00

Course media

Description

This course delves deep into R programming with a focus on data analysis and business analysis. Learners will explore the entire data analysis process, from cleaning and organizing data to advanced visualization and statistical analysis. With an emphasis on business analysis, the course demonstrates how data analysis can support strategy, optimize processes, and drive informed decision-making. Learners will also gain an understanding of Python’s role in data analysis and business analysis, allowing them to leverage multiple tools for comprehensive insights.

Participants will study key data analysis techniques, including data manipulation, visualization, and reporting, all while learning how business analysis is enhanced through these methods. The course also highlights how R and Python work together in practical data analysis applications, providing a broader perspective on business analysis challenges. By combining these skills, learners can confidently approach data analysis and business analysis tasks in professional environments.

This is a self-paced learning platform, meaning you can study at your own pace and convenience. Additionally, each section of the course is divided in a way that allows you to easily pick up where you left off, making it easy to manage your time and progress throughout the course.

Who is this course for?

This course is ideal for aspiring data analysts, business analysts, and professionals seeking to strengthen their data analysis skills. It is suitable for anyone interested in exploring R programming for data analysis and understanding its applications in business analysis. Professionals who already use Python for data analysis will also benefit by learning complementary techniques with R for business analysis.

Requirements

This R Programming for Data Analysis course requires no formal qualification to start.

Career path

After completing this course, learners can pursue roles such as Data Analyst, Business Analyst, Data Scientist, or any position where data analysis and business analysis skills are essential

Questions and answers

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Legal information

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.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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