Breaking Into Data Science and Analytics Without a Technical Background

Julia Lintern

Breaking Into Data Science and Analytics Without a Technical Background

Have you been considering transitioning to a more technical career, but you’re unsure where to start?

Join our chat with Julia Lintern, Data Scientist Instructor at Metis. Drawing from years of experience within the data science and analytics field, Julia will share her insights on...

Have you been considering transitioning to a more technical career, but you’re unsure where to start?

Join our chat with Julia Lintern, Data Scientist Instructor at Metis. Drawing from years of experience within the data science and analytics field, Julia will share her insights on how to prepare for a successful transition into a more technical career.

In this chat, you’ll learn:

Typical responsibilities of a Data Scientist
Basic and essential technical skills you will want to master prior to joining a bootcamp
Non-technical characteristics of a successful job seeker

For more information about Metis, contact admissions@thisismetis.com

Meet The Speaker

Julia Lintern

Data Scientist Instructor, Metis

Julia Lintern currently works as an instructor for the Metis Data Science Flex Program. Previously, she worked as a Data Scientist for the New York Times. Julia began her career as a structures engineer designing repairs for damaged aircraft. Julia holds an MA in applied math from Hunter College, where she focused on visualizations of various numerical methods and discovered a deep appreciation for the combination of mathematics and visualizations. During certain seasons of her career, she has also worked on creative side projects such as Lia Lintern, her own fashion label.