Udemybeginneren

Essential Fundamentals of R

Learn R data types, structures, and manipulation. Master data input/output and writing custom functions for powerful data analysis.

4.3(186)
1,822students
10h 32m
Certificate
Geoffrey Hubona, Ph.D.
Geoffrey Hubona, Ph.D.Associate Professor of MIS and Data Analytics

Course Content

Essential Fundamentals of R is a beginner-level Udemy course taught by Geoffrey Hubona, Ph.D.. It runs 10h 32m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 186 reviews, with 1,822 students enrolled. It is a paid course, last updated July 2020.

Learn the essential fundamentals of R with this comprehensive, beginner-friendly program! This 7-session course provides a strong foundation for using R software for any analytical purpose, regardless of your prior experience. No prior statistical, programming, or R knowledge is required.

You'll master the core concepts necessary for effective R use, including:

  • R and RStudio Installation & Interface: Get started with R and learn to navigate the popular, open-source RStudio IDE for efficient development. Understand the difference between interactive and batch R usage.
  • Data Import & Management: Learn how to read data and datasets into R from various sources.
  • R Scripting Essentials: Develop crucial scripting skills for automating tasks and reproducible analysis.
  • R Help & Documentation: Discover how to effectively get help in R and utilize its extensive documentation.
  • Data Types & Structures: Understand primitive data types and essential data structures in R.
  • R Functions: Learn to use functions in R, including writing user-defined functions to customize your analysis.
  • apply Family Functions: Explore the power of the apply family of functions for data manipulation.
  • Data Manipulation & Subsetting: Gain proficiency in data set manipulation, including subsetting and row/column selection.

Each session features hands-on exercises demonstrating R scripts and utilizing a wide range of R functions, applications, and packages for common tasks. You'll work with practical examples to build confidence and proficiency in using R for data analysis. We'll also incorporate R-based direct scripts (command-line prompts) to enhance your understanding.

This course equips you with the foundational skills to confidently use R for a variety of applications, from basic data exploration to more advanced statistical analysis.

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