AI + Career Lab - On Demand Recordings

1

Data Scientist, or the Most Dangerous Job of the 21st Century - Hugo Bowne-Anderson, PhD
How to Be a Data Science Consultant - Ashley Odom
Picking The Right Program: Formats, Credentials, and MOOCs, Oh my! - Aleksandar Tomic, PhD
Building a Better Data Science Resume in a Coronavirus Job Market - Sheamus McGovern
How to build business impact and value as a data scientist - Wendy Chih-wen Kan
Ok...now what do I do?(How to navigate the Data Science field as a new employee) - Patrick Prothro
How to Lead Data Science Teams: The 3 D's of Data Science Leadership - Juan Manuel Contreras, PhD
New Job, New Domain, Now What? -David Meza

2

Who is a Data Scientist? by Behrooz Afghahi
Navigating Data Science Interviews by Shrilata Murthy
Demystifying data science roles and responsibilities by Eva-Marie Muller-Stuler, PhD
The Data Engineering Path by Daniela Petruzalek
Changing career paths: be a Data Scientist! by Bea Hernández

3

Mental Models for Building Your Career in Data Science by Chirasmita Mallick
A Data Scientist from Academia to Industry: things you should know! by Wjdan Alharthi
How Data Scientists Can Support Their Organization's DEI Efforts by Timi Dayo-Kayode
Am I Ready for a Data Science Job? by Aadil Hussaini
Coding Challenges: What Are hiring Companies Looking For? by Arwen Griffioen, PhD
Data Science Success Stories by Jeff Anderson

4

Making a Career Transition to Data Science by Cathy Chute
Data Scientist, or the Most Dangerous Job of the 21st Century by Hugo Bowne-Anderson, PhD
Top Tips for Communicating Your Results to Management by David Meza
Picking the Right Program: Formats, Credentials, and MOOCs, Oh My! by Aleksandar Tomic, PhD
Transitioning Into Data Science by Laura Seaman, PhD
Making Your Data Science Project Better by Thinking About the Use Case by Tommy Blanchard, PhD
Ten Themes to Building a Happy, Healthy, and Large Data Science Team by Troy Lau, PhD