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The Well-Grounded Data Analyst

Name: The Well-Grounded Data Analyst
Brand: Manning Publications
SKU: 9781633437531
Price: 18142 HUF
Availability: InStock

Szerző: Asboth, David

Nyelv:

Kötés: Puha kötésű

Kiadó: Manning Publications

Elérhetőség: Beszállítói készleten

Küldés 9-15 napon belül

18 142 Ft

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

Információk a könyvről

Szerző

Asboth, David

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2025

oldal

500

EAN

9781633437531

ISBN

1633437531

Enbook ID

47018246

Kiadó

Manning Publications

Súly

594

Teljes leírás

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.