How to Use Pandas for Data Wrangling
A Student-Friendly Guide with Google Colab
by Jørgen Melau
Messy data is everywhere — this practical guide will show you how to transform it with Python's powerful pandas library. No coding experience required!
Transform Raw Data into Structured Datasets
Messy data is everywhere — spreadsheets with missing values, inconsistent labels, or confusing tables. Before you can run statistics, create plots, or build models, you need to clean and structure your data. That process is called data wrangling, and this book is your beginner-friendly guide.
In this short and practical book, you'll learn how to use pandas, one of Python's most powerful libraries, to make data wrangling efficient and even enjoyable. You don't need prior programming experience. With clear explanations, real-world examples, and hands-on code that runs in Google Colab, you'll gain the skills to turn raw data into well-structured datasets ready for analysis.
👉 If you've ever opened a messy spreadsheet and wondered where to start, this book will show you how.
What You'll Learn
- ✓ Why pandas is essential for data science and statistics
- ✓ How to set up and use Google Colab for free
- ✓ Importing and exploring real datasets (Titanic, COVID-19, Iris, and more)
- ✓ Cleaning missing values, fixing inconsistent labels, and handling messy data
- ✓ Selecting, filtering, summarizing, and grouping data with ease
- ✓ Combining datasets and exporting cleaned files for analysis
- ✓ Practical workflows that prepare your data for statistics and visualization
- ✓ Step-by-step examples you can follow along with immediately
Who Is This Book For?
Students
Perfect for those learning data analysis fundamentals who need straightforward explanations and practical examples.
Beginners
Designed for those with no prior coding experience who want to learn essential data skills in a friendly, accessible way.
Professionals
Ideal for those who need to quickly learn how to clean and prepare data for analysis without getting lost in complex programming.
This book is written for students, beginners, and professionals who want to learn how to handle data but feel overwhelmed by programming or statistics. The tone is simple, the code examples are easy to follow, and everything is designed so you can copy–paste and run it in Google Colab right away.
Book Format
- ✓ PDF included
- ✓ ~5000 words, divided into clear chapters
- ✓ 18 pages of content
- ✓ Student-friendly style, no prior coding required
Ready to Master Data Wrangling?
Transform messy data into clean, structured datasets and take your analysis skills to the next level.
Get Your Copy for $2.99+PDF format • Instant download • Pay what you want (starting at $2.99)