Today marks the second episode in our DataFramed Careers Series. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of landing a data role in 2022.

In the first episode of the series, Sadie discussed at great length the importance of having a solid data science portfolio to land a role in data. But what makes a great data science portfolio?

Nick Singh, co-author of Acing the Data Science Interview, joins the show to share everything you need to know to create high-quality, thorough portfolio projects.

Throughout the episode, we discuss

How portfolio projects build experience
Who should be focusing on portfolio projects
The different types of portfolio projects
Biggest pitfalls when creating portfolio projects
How to get noticed with your portfolio projects
Concrete examples of great portfolio projects

[Announcement] Join us for DataCamp Radar, our digital summit on June 23rd. During this summit, a variety of experts from different backgrounds will be discussing everything related to the future of careers in data. Whether you're recruiting for data roles or looking to build a career in data, there’s definitely something for you. Seats are limited, and registration is free, so secure your spot today on https://events.datacamp.com/radar/

[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio