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[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio
DataFramed · DataCamp
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Show Notes
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/