Webinar June 18: Deep Learning Approaches to Forecasting and Planning Register

Available Now: Free On-Demand Webinar on Adopting Python in the Workplace

By Metis  • March 31, 2020

We recently hosted a webinar on Exploring the Adoption of Python in the Workplace, during which Michael Galvin (Metis Executive Director of Data Science Corporate Training) and Kevin Birnbaum (Metis Sr. Data Scientist) broke down Python for data science and analytics, explaining what drives adoption and how companies are reacting to the shift. 

After tuning into the hour-long discussion and demonstration, attendees will have the tools to:

  • - Explain what Python is and its importance to the data science and analytics field
  • - Build a business case for adopting Python
  • - Identify the best way to begin introducing Python into their environment

It's now available on-demand; all you have to do is register here and you'll receive a link via email. We hope you enjoy it! 


Similar Posts

business resource
Updates to the Metis Corporate Training Page Break Down Services & Courses

By Metis • May 14, 2020

On our new Corporate Training page, we provide an overview of our offerings, complete with a breakdown of all services and courses, which include Data Literacy, Python for Data Analysts, Machine Learning Foundations, and more. We also wanted to highlight our history, backed by Kaplan, and our team, made up of smart, talented, and ambitious educators and thinkers.

business resource
Throughout April, Join Us for Free Intro to Python Training

By Metis • April 03, 2020

Join us every Tuesday in April for Intro to Python, a free live online training series created for business professionals. Taught live via Zoom, participants can ask questions in real-time and chat with other attendees.

business resource
Test Your Data Literacy Daily with Our New #DemystifyDS Question of the Day

By Metis • April 28, 2020

Our mission at Metis is to help people find value in data, and we're excited to announce our new data literacy initiative, the Demystifying Data Science Question of the Day. With each question answered and explained, you'll begin strengthening your data literacy muscles.