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The Well-Grounded Data Analyst

Name: The Well-Grounded Data Analyst
Brand: Manning Publications
SKU: 9781633437531
Price: 1032 CZK
Availability: InStock

Autor: Asboth, David

Jazyk:

Vazba: Brožovaná

Vydavatel: Manning Publications

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

1 032 Kč

Complete eight data science projects that lock in important real-world skills—along with a practic...

Informace o knize

Autor

Asboth, David

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2025

Stránek

500

EAN

9781633437531

ISBN

1633437531

Enbook ID

47018246

Vydavatel

Manning Publications

Hmotnost

594

Kompletní popis

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.