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The Well-Grounded Data Analyst

Name: The Well-Grounded Data Analyst
Brand: Manning Publications
SKU: 9781633437531
Price: 200.69 PLN
Availability: InStock

Autor: Asboth, David

Język:

Oprawa: Miękka

Wydawca: Manning Publications

Dostępność: Dostępna u dostawcy

Wysyłamy za 9-15 dni

200.69 zł

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

Informacje o książce

Autor

Asboth, David

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2025

strony

500

EAN

9781633437531

ISBN

1633437531

Enbook ID

47018246

Wydawca

Manning Publications

Waga

594

Pełny opis

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.