Building a Scalable Data Strategy With IPTOP


In this webinar, Dr. Hugo Bowne-Anderson, data scientist and educator at DataCamp, will talk you through how to build a scalable data strategy utilizing the principles of IPTOP (Infrastructure, People, Tools, Organization, and Processes). As you grow your business, organization, data science projects, and data strategy, how do you make sure these scale as seamlessly and with as little extra overhead as possible? Hugo posits that you’re most of the way there if you get all the components of IPTOP right. To demonstrate this, he’ll walk you through several examples, such as Netflix, Airbnb, and DataCamp, to identify the moving parts necessary to build a scalable data strategy with IPTOP.

You can find the slides here.

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp

Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science seamlessly. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant at DataCamp, the online education platform for all things data. He has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open-source software, both for individuals and the enterprise.

Connect with Hugo on LinkedIn and Twitter.

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