about this book
The Well-Grounded Data Analyst was written to help you improve your data analysis skills by solving real-world problems. It presents eight scenarios you would encounter as an analyst, each of them on a topic that is prevalent in industry but often missing from data education. It also provides a framework that can be used to solve any analysis problem, mostly by helping you define the problem properly before you start.
Who should read this book
The book is for junior or aspiring analysts who are looking to build on their foundational data analysis skills and want exposure to real-world problems. Readers should have at least six months of experience with data analysis and be familiar with problem framing, data cleaning, analysis, and visualization. Even seasoned analysts would benefit from solving the problems in the book because we never stop learning.
How this book is organized: A road map
The book contains eight data analysis projects to attempt, spread across 13 chapters. Each chapter, starting from chapter 2, describes a project, explains the available data, provides a step-by-step breakdown of how you might approach the project, and offers an example solution in Python: