R Studio Fundamentals
Learn R & RStudio for data analysis! This beginner course covers scripting, project organization, and essential data skills. Get started today!
Course Content
R Studio Fundamentals is a beginner-level Udemy course taught by Gustavo Rosa. It runs 1h 36m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 6 reviews, with 21 students enrolled. It is a paid course, first published April 2025.
Get Started with R Studio Fundamentals: A Beginner's Guide to Data Analysis
This course provides a gentle introduction to R and RStudio, perfect for those with no prior programming experience. We'll guide you through the essential steps to begin working with data using R.
Here's what you'll learn:
- Installation & Interface: Learn how to easily install R and RStudio on your computer. Become familiar with the RStudio interface and navigate its key components.
- Basic Coding: Write and execute your first lines of R code. Understand the fundamentals of R programming in a clear, step-by-step manner.
- Project Organization: Establish good habits from the start by learning how to properly organize your R projects.
- Data Management: Master creating and managing R objects to store and manipulate your data effectively.
- Scripting: Learn to write and run R scripts for reproducible analysis.
- Data Handling: Work with datasets in R, including importing data from various files (e.g., CSV, TXT).
- Data Exploration: Explore your data using basic descriptive statistics and logical values & operators.
- Data Import: Import data from common file formats into R for analysis.
- Data Analysis Workflow: Understand how individual code snippets combine to form a complete data analysis workflow.
Each lesson is designed to be short, practical, and focused on understanding what's happening on screen and why it matters. You'll gain a solid foundation for further learning in statistics, causal inference, research projects, or simply exploring the power of R for data analysis. This course is ideal for anyone looking to start their journey with R Studio and unlock its potential.
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