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