by Paco Nathan | Released November 2015 | ISBN: 9781491940983

Imagine cooking a stew with a single ingredient or growing a country garden with a single type of flower. One-dimensional efforts like these yield bland and boring results. Now imagine staffing a data science team with only PhDs in machine learning. In spite of the impressive pedigree, the result would be similar: bland, boring, and, possibly worse, ineffective.But if not just data people, then who?Data scientist Paco Nathan answers that question and more in this video on how to build a data science team. Cited in 2015 as one of the "Top 30 People in Big Data and Analytics" by Innovation Enterprise, Nathan offers insider tips gleaned from his 30+ years in technology.Assess the need for a data science team: Advantages, disadvantages, and how big should it be?Identify internal corporate sponsors to get buy-in for the data science approachManage the transition of the data science team into the organizationDiscover how to identify and hire the right people for the roleLearn best practices for setting up, organizing, and managing the teamPractice cultivating the team and their professional growthPerform team gap analysis and workflow analysisAbsorb invaluable Dos and Don'ts Show and hide more

1. Introduction - Building Data Science Teams 00:02:54
2. Why are we here? 00:29:44
3. Preparing your organization 00:15:09
4. Hire the team 00:29:55
5. Team Matrix 00:35:50
6. Organization and Process 00:17:03
7. Miscellaneous Caveats 00:16:12
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