Every step between asking a question and sharing the answer is a chance to make your analysis more useful. This free four-chapter ebook helps you make thoughtful decisions at four key stages of that process. Follow a help center investigation to see how a broad request becomes a measurable question, practice cleaning messy records with pandas, and learn to choose visuals that help readers interpret your findings accurately. Then use the DIKW pyramid to give your findings context and suggest next steps. You’ll come away with practical approaches to try in your own work, from the first conversation about a project to the story you share at the end.
about the authors
Mona Khalil is the Senior Manager of Analytics Engineering at Justworks.
Reuven M. Lerner teaches Python and data science around the world and publishes the “Bamboo Weekly” newsletter. He is the author of Manning’s
Python Workout (2020).
Desireé Abbott has over a decade of experience in product analytics, business intelligence, science, design, and software engineering.
Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy.