Data Scientist Roundup: Python for Data Science, AI in Banking, & More
By Metis • October 01, 2020
When our Data Scientists aren't teaching the intensive 12-week bootcamps orcorporate trainingcourses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.
Kimberly Fessel, Sr. Data Scientist (Bootcamp)
Since June, Kimberly Fessel has been releasing a fantastic video series on Seaborn, a Python data visualization library based on matplotlib. With 11 videos already in the series, we highly recommend folks check out the Intro to Seaborn playlist on YouTube. Make sure to subscribe to her channel and get notified about her next releases in the series!
Javed Ahmed, Sr. Data Scientist (Corporate Training)
Javed joined a panel of banking industry executives to discuss the pressure fintech and big technology companies place on traditional banks in the race to develop AI tools. The panel advised that fintechs will lead to AI innovation, thanks to their tendency not to face the internal red tape often found at these legacy organizations. The panel discussion was covered in the Wall Street Journal. Read it here.
In a recent article published on BuiltIn, writer Stephen Gossett interviewed Javed about the differences between Data Scientists and Data Engineers. Javed broke down the two distinct roles, helping readers grasp the central difference: design vs. implementation. Read it here.
See what our Sr. Data Scientists were up to last monthhere.
Year after year, we enjoy sharing posts that feature our alumni stories, data science and analytics thought leadership from our Data Scientists, guest posts, and so much more. Here we’ve gathered the top 10 most-read posts of 2020 for you to enjoy.
We're proud to be included on Course Report's 21 Best Data Science Bootcamps of 2020 list! To create the list, their team considered both online and in-person bootcamps that teach immersive data science and/or data analytics, looking at alumni reviews, curriculum, and quality of instruction to determine who made the cut.