Sinopsis
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.
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. About the technology: Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats―often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
De la contraportada
From the back cover:
The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model data by identifying customer records, navigate poorly-defined metrics, extract data from PDFs, and much more! It also teaches you how to take over incomplete projects and create rapid prototypes with real data. Along the way, you'll build an impressive portfolio of projects you can showcase at your next interview.
About the reader:
For early-career data scientists."Sobre este título" puede pertenecer a otra edición de este libro.
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The Well-Grounded Data Analyst Format: Paperback
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Simon and Schuster, 2025
ISBN 10: 1633437531
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Hardback. Condición: New. 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. In The Well-Grounded Data Analyst you'll learn: High-value skills to tackle specific analytical problemsDeconstructing problems for faster, practical solutionsData modeling, PDF data extraction, and categorical data manipulationHandling 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. About the technology: Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats-often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro. Nº de ref. del artículo: LU-9781633437531
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Hardcover. Condición: new. Hardcover. Complete eight data science projects that lock in important real-world skillsalong with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solversand 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 problemsDeconstructing problems for faster, practical solutionsData modeling, PDF data extraction, and categorical data manipulationHandling 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. About the technology: Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formatsoften with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro. Complete eight data science projects that lock in important real world skillsalong with a practical process you can use to learn any new technique quickly and efficiently. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781633437531
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Hardback. Condición: New. 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. In The Well-Grounded Data Analyst you'll learn: High-value skills to tackle specific analytical problemsDeconstructing problems for faster, practical solutionsData modeling, PDF data extraction, and categorical data manipulationHandling 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. About the technology: Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats-often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro. Nº de ref. del artículo: LU-9781633437531
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