Breeding data scientists: A four-year study
At Strata + Hadoop World 2012, Amy O'Connor and her daughter Danielle Dean shared how they learned and built data science skills at Nokia. This year, Amy and Danielle explore how the landscape in the world of data science has changed in the past four years and explain how to be successful deriving value from data today.
| Talk Title | Breeding data scientists: A four-year study |
| Speakers | |
| Conference | Strata + Hadoop World |
| Conf Tag | Make Data Work |
| Location | New York, New York |
| Date | September 27-29, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
At Strata + Hadoop World 2012, Amy O’Connor and her daughter Danielle Dean shared how they learned and built data science skills at Nokia. (At the time, Amy led the Big Data team at Nokia where Danielle was an intern still working on her PhD.) In the past four years, the landscape of data science has changed drastically. In 2012, most data science skills had to be learned organically; today, there have been major advances in tools, education, and the general culture in organizations taking on data science work. This year, Amy and Danielle explore how the landscape in the world of data science has changed and explain how to be successful deriving value from data today. Along the way, they outline the innovative methods they’ve used to find and build a data science skill set within their teams and for those in their customer base.
