R For Data Management: From Chaos To Clarity

R For Data Management: From Chaos To Clarity
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Clean, shape, and tame your data-no coding experience needed.

What you’ll learn

The learner will navigate the RStudio environment to execute basic commands and scripts.

The learner will import, explore, and manipulate data using data frames, including subsetting, filtering, and basic transformations.

The learner will apply foundational R skills to complete coding and debugging assignments that reinforce core concepts in data handling.

Requirements

This is an introductory course designed for students with no prior programming experience. You’ll learn the foundational tools and concepts of R from the ground up, and we’ll walk through common mistakes and challenges that beginners typically face-ensuring that confusing topics are clarified with step-by-step examples and practice.

Description

Overview

Section 1: Welcome

Lecture 1 Course Format & Curriculum

Lecture 2 Overview

Lecture 4 File Structures

Section 2: RMarkdown & Loading Libraries

Lecture 5 Overview

Lecture 6 Beginning with RMarkdown

Lecture 7 Loading Libraries

Section 3: Reading Data Frames

Lecture 8 Overview

Lecture 9 Reading Data Frames

Section 4: Data Frame Manipulation

Lecture 10 Overview

Lecture 11 Wide to Long Data Formats

Lecture 12 Overview

Section 6: Learner Feedback

Beginner R users seeking to develop foundational data management skills essential for advancing in R.,Ideal for newcomers to R, this course offers a hands-on, supportive introduction to data management skills that will set you up for success in more advanced data analysis and programming.