R For Data Management: From Chaos To Clarity

[kingers]

R For Data Management: From Chaos To Clarity
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 623.16 MB | Duration: 1h 44m

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 write and debug simple R scripts, using variables, functions, and control structures to perform data analysis tasks.

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

Welcome to R for Data Management: From Chaos to Clarity-an introductory course designed to help you build foundational skills in R without requiring any prior programming experience. If you've ever felt overwhelmed by messy spreadsheets, struggled to organize your data, or hesitated to dive into coding, this course is for you. In this hands-on course, you'll learn how to install R and RStudio, navigate the RMarkdown environment, and confidently load and inspect your data. We'll cover common file types like .csv and walk you through best practices for setting up your workspace. From there, you'll explore key concepts in data structure, such as wide vs. long formats, and practice reshaping your data to suit analytical needs. You'll also develop the skills to manipulate variables, adjust data types, and compute simple summaries to prepare your dataset for analysis. Each module features engaging video walkthroughs, guided coding sessions, and practical assignments-including debugging challenges to help you spot and fix common errors early. By the end of the course, you'll not only understand the core mechanics of data management in R, but you'll also have the confidence to begin your journey into more advanced analytics. Let's turn data chaos into clarity-one line of code at a time.

Overview

Section 1: Welcome

Lecture 1 Course Format & Curriculum

Lecture 2 Overview

Lecture 3 Getting Started with R & R Studio

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

Section 5: Manipulating Variables

Lecture 12 Overview

Lecture 13 Manipulating Variables

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.

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