Complete eight Data Science projects that lock in important real-world skills–along with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solvers–and The Well-Grounded Data Analyst will teach you how to solve the most common problems you’ll face in industry. You’ll explore eight scenarios that your class or bootcamp won’t have covered, so you can accomplish what your boss is asking for. The Well-Grounded Data Analyst is for junior and early-career data analysts looking to supplement their foundational data skills with real-world problem solving. As you explore each project, you’ll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth. You’ll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings. The book can be read cover-to-cover or opened to the chapter most relevant to your current challenges. As for most solutions I provide, the code itself will be written in Python, primarily using the Pandas library.

The Well-Grounded Data Analyst: Solve messy data problems like a pro PDF

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