Skip to content
Getting Digital
All LevelsUdemy11 hours on-demand videoEnglish

Programming Statistical Applications in R

An introductory course that teaches the foundations of scientific and statistical programming using R software.

Taught by Geoffrey Hubona, Ph.D.
Suitable for everyone
Enroll in This Course
✓ Instant access✓ Learn at your pace

Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.

What You'll Learn in This Course

Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.

Learning Outcome 1

Understand how to create and manipulate R data structures used in scientific programming applications.

Learning Outcome 2

Understand and use important statistical R programming concepts such as looping and control structures, interactive data input and formatting output, writing functions as programs, writing output to a file and plotting output.

Learning Outcome 3

Understand and be able to use the R apply family of functions efficiently.

Learning Outcome 4

Know how to debug programs and how to make programs run more efficiently.

Learning Outcome 5

Understand and be able to implement various resampling methods effectively, including bootstrapping, jackknifing and N-fold cross validation.

Skills You'll Develop

This comprehensive Programming Statistical Applications in R curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.

Hands-on LearningPractical ExercisesReal-World ProjectsIndustry Best Practices

Course Requirements & Target Audience

Understand what you need to succeed in this course and determine if it's the right fit for your learning goals

Prerequisites & Requirements

What you need before starting this Programming Statistical Applications in R course:

  • Students will need to install the popular no-cost R Console and RStudio software (instructions provided).

Who This Course Is For

This course is perfect for:

  • Motivated learners at any level
  • Self-paced students
  • Anyone interested in the subject

This course might not be suitable if:

  • • You're looking for a quick tutorial rather than comprehensive learning
  • • You prefer learning without structured curriculum
  • • You need highly specialized or niche content

Course Information & Details

Everything you need to know about this online course, from duration to certification

Course Instructor

Geoffrey Hubona, Ph.D.

Expert instructor with industry experience

Course Language

English

All materials in English

Start Your Learning Journey Today

This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.

Udemy Course

Course Enrollment

Get instant access to all course materials

Professional Course

Investment around $74.99

Pricing may vary. Check the course provider for current promotions and exact pricing.

What's Included

  • 11 hours on-demand video
  • 24 downloadable resources
  • Access on mobile and TV
  • Certificate of Completion
  • Full lifetime access
View Course & Enroll

Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.

Browse Udemy
  • Instant access after enrollment
  • Learn at your own pace
  • Direct enrollment with Udemy

Where this course fits

Concepts behind this area

The field, explained: Artificial Intelligence & Machine Learning · Data & Analytics

Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.