Isbn: 9781449362935 - thinking with data: how to turn information into insights (32 resultados)

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    1449362931 / 9781449362935

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    paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

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    Paperback. Condición: new. Paperback. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action Understanding how to turn numbers into usable insights is a significant challenge for those who work with data on a daily basis. Thinking with Data provides a concise framework and key insights to help data people uncover the real problem to be solved as well as how to approach, organize, and analyze potential results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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    Paperback. Condición: New. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action.

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    Librería: eCampus, Lexington, KY, Estados Unidos de AmericaeCampus

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    Paperback. Condición: New. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action.

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    Editorial: O'Reilly Media 2/3/2014, 2014

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    Paperback or Softback. Condición: New. Thinking with Data: How to Turn Information Into Insights. Book.

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    Condición: New. In English.

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    Condición: New. Understanding how to turn numbers into usable insights is a significant challenge for those who work with data on a daily basis. Thinking with Data provides a concise framework and key insights to help data people uncover the real problem to be solved as well as how to approach, organize, and analyze potential results. Num Pages: 94 pages, black & white illustrations, black & white tables, figures. BIC Classification: UMZ. Category: (XV) Technical / Manuals. Dimension: 227 x 154 x 5. Weight in Grams: 150. . 2014. 1st Edition. Paperback. . . . .

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    Condición: New. Understanding how to turn numbers into usable insights is a significant challenge for those who work with data on a daily basis. Thinking with Data provides a concise framework and key insights to help data people uncover the real problem to be solved as well as how to approach, organize, and analyze potential results. Num Pages: 94 pages, black & white illustrations, black & white tables, figures. BIC Classification: UMZ. Category: (XV) Technical / Manuals. Dimension: 227 x 154 x 5. Weight in Grams: 150. . 2014. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

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    Condición: New. pp. 94.

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    Paperback. Condición: Brand New. 1st edition. 78 pages. 9.00x6.00x0.25 inches. In Stock.

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    Paperback. Condición: New. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action.

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    Paperback. Condición: new. Paperback. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action Understanding how to turn numbers into usable insights is a significant challenge for those who work with data on a daily basis. Thinking with Data provides a concise framework and key insights to help data people uncover the real problem to be solved as well as how to approach, organize, and analyze potential results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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    Condición: New. Understanding how to turn numbers into usable insights is a significant challenge for those who work with data on a daily basis. Thinking with Data provides a concise framework and key insights to help data people uncover the real problem to be solved as we.

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    Taschenbuch. Condición: Neu. Neuware - Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills.Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved.- Learn a framework for scoping data projects- Understand how to pin down the details of an idea, receive feedback, and begin prototyping- Use the tools of arguments to ask good questions, build projects in stages, and communicate results- Explore data-specific patterns of reasoning and learn how to build more useful arguments- Delve into causal reasoning and learn how it permeates data work- Put everything together, using extended examples to see the method of full problem thinking in action.

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    Paperback. Condición: New. Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You'll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action.