Udemybeginneren

Practical Foundations of R Programming

Learn R programming fundamentals! Explore data structures, subsetting, and creating functions. Perfect for beginners.

4.4(63)
853students
7h 53m
Certificate
Geoffrey Hubona, Ph.D.
Geoffrey Hubona, Ph.D.Associate Professor of MIS and Data Analytics

Course Content

Practical Foundations of R Programming is a beginner-level Udemy course taught by Geoffrey Hubona, Ph.D.. It runs 7h 53m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 63 reviews, with 853 students enrolled. It is a paid course, last updated June 2017.

Master the Fundamentals of R Programming with this practical first course in a comprehensive learning path. Designed for both beginner and intermediate R programmers, this course equips you with the essential R programming skills needed to build high-quality code.

Unlock the power of R, a free and open-source language, and understand why it excels in data analytics, statistical applications, and mathematical modeling. Discover R's superior capabilities in data visualization and exploring data relationships.

Unlike introductory R courses focused on general usage, this course dives directly into the core concepts crucial for efficient R application development. You'll gain a deep understanding of:

  • R Data Structures: Learn to organize and manipulate data effectively.
  • R Subsetting: Master techniques for extracting and filtering data.
  • R Functions: Build reusable code blocks for streamlined programming.

This course is entirely hands-on, utilizing the RStudio IDE to demonstrate code construction and application. No passive lectures – expect practical exercises and downloadable R scripts for every concept. Each of the three major sections (data structures, subsetting, and functions) includes multiple exercises, culminating in comprehensive end-of-section challenges. Work through the exercises independently before reviewing the video solutions.

Access all course materials, including 100+ video demonstrations and exercise solutions, from the start. The next course in this learning path builds upon these foundations, exploring functional programming in R in greater depth. Get ready to write powerful and effective R code!

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