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The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
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The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
Complete eight data science projects that lock in important real-world skills and a practical process to learn any new technique quickly and efficiently.
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
Item #: 249366162

The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

86% of respondents would recommend this to a friend

Item #: 249366162

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Complete eight data science projects that lock in important real-world skills and a practical process to learn any new technique quickly and efficiently.
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  • 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.
Publisher Manning Publications
Publication date 2 July 2025
Edition 1st
Language English
Print length 472 pages
ISBN-10 1633437531
ISBN-13 978-1633437531
Item weight 794 g
Dimensions 18.73 x 2.79 x 23.5 cm

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Data Mining Editorial Review

The Well-Grounded Data Analyst: Solve Messy Data Problems Like A Pro is an essential read for aspiring data analysts, aiming to hone their skills in tackling complex data issues. Published by Manning Publications, this 472-page book delves into effective strategies and techniques, offering valuable insights that empower readers to navigate the often chaotic world of data manipulation. Its first edition, published in July 2025, is crafted in clear English, making it accessible to a wide audience. Many readers have praised its practical approach and depth of content, highlighting how it provides real-world applications that enhance their understanding and capability in data analysis.

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  • Practical strategies for solving data problems
  • Clear and accessible language
  • Real-world applications provided
  • Comprehensive coverage of data analysis topics
  • Well-structured for easy learning

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  • Occasional complexity in some advanced topics

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  • Master eight critical data science projects for practical skills.
  • Learn to tackle specific analytical problems effectively.
  • Gain a proven process for quickly learning new techniques.
  • Understand data modeling and PDF data extraction.
  • Identify and resolve common real-world data analysis challenges.
  • Ideal for junior and early-career data analysts seeking to enhance foundational skills.

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