Video description
Featuring a collection of presentations from Strata + Hadoop World conferences, this video compilation walks you through several key components of building a data science culture. Viewers will gain insight into:
- Practical advice for building a data science team
- How to balance the roles of data science, engineering, and product-design
- What designers and data scientists can learn from each other to improve their visualizations
- Critical components of data-based decision-making
- How to develop a business model that incorporates data
- The role of data in early stages of design and innovation
- The art & science of systemizing and coordinating human and machine-based contributions
Publisher resources
Table of contents
- How to build your data team: Lessons from unicorn hunting in the wild - Katie Kent (Galvanize)
- Playing Nice in the Product Playground: Data Scientists, Engineers, and Product Managers Working Together to Create Innovative Data Products - Anu Tewary, Lucian Lita and Jonathan Goldman
- What Designers and Data Scientists Can Learn from Each Other - Danyel Fisher and Miriah Meyer
- Where the rubber meets the road: Decision-making based on data - Christine Foster (ShopKeep)
- Think like a data scientist: Build your big data blueprint - Bill Schmarzo (EMC Consulting)
- Designing with Data: A Human-centered Approach to Data-driven Design - Arianna McClain and Coe Leta Stafford
- Data (Art ) Science - Eric Colson
Product information
- Title: Building a Data Science Culture
- Author(s):
- Release date: March 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491960219
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