Becoming A Data Scientist Podcast

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

Justin Kiggins, who calls himself a "full stack neuroscientist" talks to Renee about how he started as a musician majoring in music therapy, switched to mechanical engineering, and eventually made his way via biomedical engineering and neuroscience to study auditory perception and the brains of communicating birds.

Show Notes

Renee interviews computational biologist, author, data scientist, and Michigan State PhD candidate Sebastian Raschka about how he became a data scientist, his current research, and about his book Python Machine Learning. After the interview, Sebastian explains k-fold cross-validation for the Data Science Learning Club model evaluation activity.

Episode Notes

Data Scientist, Author, and manager of data science teams Enda Ridge talks to us about data governance, data provenance, reproducible analysis, work pipelines and products, and people, among other topics covered in his book “Guerrilla Analytics – A practical Approach to Working with Data: The Savvy Manager’s Guide”. Blog post with show notes and links

In this episode, Renee interviews Bioinformatics PhD and Data Scientist Erin Shellman about her path to becoming a data scientist, including jobs at Nordstrom Innovation Lab and zymergen. Erin discusses school, job interviews, teaching, and eventually getting to do data science within her field of scientific expertise. Blog post with show notes and links

Renee Teate interviews Clare Corthell, founding partner of summer.ai and creator of the Open Source Data Science Masters curriculum, about becoming a data scientist.

Blog Post with Show Notes and Links

In Episode 4 of the Becoming a Data Scientist Podcast, we meet Sherman Distin, owner of analytics consulting firm QueryBridge. We discuss his primarily self-taught path to learning the data science techniques he uses to find business insights in marketing data, and he also tells us what he thinks is the most important trait he looks for in data scientists.

Blog Post with Show Notes and Links

In Episode 3 of the Becoming a Data Scientist Podcast, we meet Shlomo Argamon, who is the founding director of the Master of Data Science program at Illinois Institute of Technology. He talks to us about his path to data science, including research in robotic vision and natural language processing, we discuss the traits of a good data science student, and he gives some advice for those of us learning data science.

Blog Post with Show Notes and Links

In Episode 2 of the Becoming a Data Scientist Podcast, we meet Safia Abdalla, who started programming and even exploring machine learning and natural language processing as a teenager, and is now a student at Northwestern University, a conference speaker and trainer, co-organizer of PyLadies Chicago, and a contributor to Project Jupyter.

Blog Post with Show Notes and Links

In this episode we meet Will Kurt, who talks about his path from English & Literature and Library & Information Science degrees to becoming the Lead Data Scientist at KISSmetrics. He also tells us about his probability blog, Count Bayesie, and I introduce Data Science Learning Club Activity 1. Will has some great advice for people learning data science!

Blog Post with Show Notes and Links