Well-Grounded Data Analyst : Solve Messy Data Problems Like a Pro
Asboth, David; Lerner, Reuven M. (FRW)
Language: English
Published by Manning, 2025
- Softcover
- New
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
£ 38.19
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Add to basketSeller Inventory # 49569668-n
- Title
- Well-Grounded Data Analyst : Solve Messy Data Problems Like a Pro
- Author
- Asboth, David; Lerner, Reuven M. (FRW)
- Publisher
- Manning
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1633437531
- ISBN 13
- 9781633437531
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.
In The Well-Grounded Data Analyst you'll learn:
- High-value skills to tackle specific analytical problems
- Deconstructing problems for faster, practical solutions
- Data modeling, PDF data extraction, and categorical data manipulation
- Handling vague metrics, deciphering inherited projects, and defining customer records
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.
"Synopsis" may belong to another edition of this title.
About the Author
David Asboth is a "data generalist", with experience as a freelance consultant, educator, software architect, and more. He co-hosts the Half Stack Data Science podcast about data science in the real world, has spoken at multiple conferences including the Data Science Festival in London, and has taught a variety of data science courses to enterprise students including large banks and consultancies.
"About the title" may belong to another edition of this title.
GreatBookPrices
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