Titlebook: Data Science; Create Teams That As Doug Rose Book 2016 Doug Rose 2016 data science.team.agile.analytics.data-driven organization.data minin

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https://doi.org/10.1007/978-1-4842-2253-9data science; team; agile; analytics; data-driven organization; data mining; scientific method; storytellin

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Spanning Edge Betweenness in Practice you’ll want to store your data. Technologies like NoSQL provide you with a lot of flexibility to store different data types. Relational databases give you less flexibility, but they’re sometimes easier to work with, and it’s generally easier to generate reports in relational databases.

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https://doi.org/10.1007/978-3-319-30569-1 organization to think about your data in creative and interesting ways. Data analysts will help you analyze your data, but they may not be the best source of new insights. As mentioned in Chapter 6, you should think about data science as a team endeavor—small groups of people with different backgro

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Remy Cazabet,Pierre Borgnat,Pablo Jensen team? In this chapter, I help you out by examining some common ways to keep your team on track. First, I cover how to keep from reporting without reasoning by asking interesting questions. Next, I explore how you can find the right mindset for your team as a whole. And finally, you learn about maki

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Lale Madahali,Lotfi Najjar,Margeret Halling. Your team can create questions and get quick feedback to see if the data stories are valuable and resonate with the rest of the organization. If it’s not valuable, the team can quickly pivot to other questions. If it is, the team can take a deeper dive and maybe even come up with questions base

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