Thinking with Data. How to Turn Information into Insights
Par :Formats :
Définitivement indisponible
Cet article ne peut plus être commandé sur notre site (ouvrage épuisé ou plus commercialisé). Il se peut néanmoins que l'éditeur imprime une nouvelle édition de cet ouvrage à l'avenir. Nous vous invitons donc à revenir périodiquement sur notre site.
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format Multi-format est :
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony

Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
- Nombre de pages94
- FormatMulti-format
- ISBN978-1-4493-6292-8
- EAN9781449362928
- Date de parution20/01/2014
- Protection num.NC
- Infos supplémentairesMulti-format incluant ePub sans ...
- ÉditeurO'Reilly Media
Résumé
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
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
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
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