ISBN: 9781633437531 - the well-grounded data analyst: solve messy data problems like a pro (27 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Simon and Schuster, 2025

    1633437531 / 9781633437531

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  • Sprache: Englisch

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    Hardback. Zustand: 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.…

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    Sprache: Englisch

    Verlag: Manning Publications, US, 2025

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    Hardback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: Manning, 2025

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  • Sprache: Englisch

    Verlag: Manning, 2025

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  • Sprache: Englisch

    Verlag: Pearson Education, 2025

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  • Sprache: Englisch

    Verlag: Manning Publications, New York, 2025

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    Hardcover. Zustand: 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.…

  • Sprache: Englisch

    Verlag: Manning, 2025

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    Verlag: Manning, 2025

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    Verlag: Manning, 2025

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    Sprache: Englisch

    Verlag: Manning Publications, US, 2025

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    Hardback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: Manning Publications Jul 2025, 2025

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    Buch. Zustand: Neu. Neuware - 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.…

  • Sprache: Englisch

    Verlag: Manning Pubns Co, 2025

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    Paperback. Zustand: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

  • Sprache: Englisch

    Verlag: Manning Publications, US, 2025

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    Hardback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: Manning Publications, New York, 2025

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    Hardcover. Zustand: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Sprache: Englisch

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    Buch. Zustand: Neu. The Well-Grounded Data Analyst | David Asboth | Buch | Englisch | 2025 | Manning Publications | EAN 9781633437531 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

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    Buch. Zustand: Neu. Neuware -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. 472 pp. Englisch.…