Learning | Data science

Data science ideas and resources.

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Tara Donovan exhibition.

Solving the right problem

Max Shron and Sasha Laundy explore tactics for need-finding and problem scoping that make it possible to put investments in data to profitable use.

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Herding the crowd.

Organizing big data with the crowd

Using real-world cases, Lukas Biewald describes microtasking, where it fits in the crowdsourcing landscape, and how data scientists and developers can tap into the crowd to collect and process data sets.

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"Preparation for WAR to defend Commerce," <em>Birch's Views of Philadelphia</em>.

Building data science teams: Preparing your organization

How should you prepare when assembling and integrating a data science team into your organization? In this video training segment, Paco Nathan offers tips to consider in the early stages, including designating the right executive sponsor and encouraging basic hands-on data science training for management.

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Pivot Tables in Python

Pivot tables are an incredibly handy tool for exploring tabular data. This excerpt from the Python Data Science Handbook (Early Release) shows how to use the elegant pivot table features in Pandas to slice and dice your data.

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Data Science at the Command Line

Whether you're entirely new to the command line or already dreaming in shell scripts, by the end of this webcast you will have a solid understanding of how to leverage the power of the command line.