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Civis R&D Bookshelf: Project Management Edition

by Liz Sander

Civis Analytics
Nov 17, 2017 · 2 min read

Data scientists spend a lot of time thinking about the technical aspects of their jobs, especially modeling and programming. That makes sense; these things are important, and they’re usually what’s in the job description. But for this edition of Data Science Bookshelf, I wanted to highlight some readings on management, especially project management. Whatever your job title, good project management is important for making sure your code and models are useful and actually make it into production.

Elided Branches

Project Management for the Unofficial Project Manager

Comparing Data Science Project Management Methodologies via a Controlled Experiment


This post is part of our Bookshelf series organized by the Data Science R&D department at Civis Analytics. In this series, Civis data scientists share links to interesting software tools, blog posts, scientific articles, and other things that they have read about recently, along with a little commentary about why these things are worth checking out. Are you reading anything interesting? We’d love to hear from you on Twitter.

The Civis Journal

Civis Analytics helps the country's largest companies and…

Civis Analytics

Written by

Building a Data-Driven World | civisanalytics.com

The Civis Journal

Civis Analytics helps the country's largest companies and nonprofits identify, attract, and engage loyal customers and employees with a blend of proprietary data, software solutions, and an interdisciplinary team of data and survey science experts.

Civis Analytics

Written by

Building a Data-Driven World | civisanalytics.com

The Civis Journal

Civis Analytics helps the country's largest companies and nonprofits identify, attract, and engage loyal customers and employees with a blend of proprietary data, software solutions, and an interdisciplinary team of data and survey science experts.

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