Data Science

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0), by Babbel (https://www.babbel.com/superdata), the science-backed language-learning platform, and by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Common career challenges for data scientists [34:57]
• Advice for people who don’t know where to go in their career [48:05]
• How to build resilience and protect against Imposter Syndrome [1:06:23]
• Skills that data scientists should develop today [1:39:17]
• The future of the data science and AI job market [1:46:55]

Additional materials: www.superdatascience.com/803

Data Science

Chris