Every two weeks, we air an interview with a data scientist or someone on their way to becoming a data scientist, to learn about their path to get to where they are today. We also discuss a data science learning activity for the Becoming a Data Scientist Learning Club.
Topic tags: data science, data analysis, databases, careers, education, learning, technology, python, R, computer programming, statistics, business, machine learning
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students.
David Meza is Chief Knowledge Architect at NASA, and talks to Renee in this episode about his educational background, his early work at NASA, and examples of his work with multidisciplinary teams. He also describes a project involving a graph database that improved search capabilities so NASA engineers could more easily find "lessons learned".
In this first episode of "Season 2" of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scientist.
Renee interviews Dr. Ed Felten, the Deputy U.S. Chief Technology Officer, about the Future of Artificial Intelligence
I was invited to join in with 7 other data people to talk about the US election and the subsequent major questions surrounding the forecasts, since basically all of them heavily leaned toward a different overall outcome. You will recognize many of the people in this chat from other podcasts and publications online, and I'll link to all of their profiles in the show notes for this episode. Enjoy!
Website link: http://www.BecomingADataScientist.com/ Survey link: https://docs.google.com/forms/d/e/1FAIpQLSfmOQb6DTma7RTSciAiDP3li-9eTvqq4fwEFcAKDdPLq7OYNw/viewform
In this interview, we meet physicist Debbie Berebichez, who you might recognize from her TEDx talks, her appearances in Discovery Channel’s Outrageous Acts of Science and other TV shows! Debbie grew up in Mexico City and was discouraged by her family and teachers from studying science, but later went on to become the first Mexican […]
Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners. Episode Notes & Links
Stephanie Rivera has worked in machine learning and data science for academic research (at University of Tennessee), for the government (Department of Defense), for a large consulting firm (Booz Allen), and now for a startup (MyStrength). In the interview, she discusses her career path, her experiences with mentorship, and her role in authoring The Field Guide to Data Science and the Explore Data Science online course. Links and Resources
Trey Causey is a data scientist with a background in psychology and sociology who, like Renee, is from Virginia. He has worked as a data scientist at a range of companies from zulily to ChefSteps, and has also developed some interesting sports analytics projects, including the New York Times 4th Down bot. Trey also has advice for people wanting to start a career in data science. Show Notes
