about this book
Effective Data Analysis was written to help you strategically apply the skills you’ve learned to the business problems you encounter in your work. It’s designed to help you go beyond the technical and programming components of your work and understand the depth and value you can bring to the teams you collaborate with. This book can help you succeed in job interviews and become familiar with the day-to-day job of an analyst, and you can keep it on your desk as an ongoing reference throughout your career.
Who should read this book?
This book is primarily written for aspiring and early- or mid-career data professionals in analytics or data science and analytics engineers who answer questions for stakeholders and inform business decisions. We enter the field from a wide variety of backgrounds, giving each of us different strengths and opportunities to grow. There are many resources available on the specific technical aspects of our field (SQL, Python, R, statistics, machine learning), but few resources cover the skills you need to be a strategic partner to your colleagues. This book brings together the depth and nuance you’ll need to know how and where to apply your skills to problems, creating a clear and efficient path to delivering value in your work.
How this book is organized: A roadmap
This book has 12 chapters organized into 3 parts.
Part 1 orients your analytical thinking around asking and answering powerful questions: