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

0 Anmeldelser
0
Episode
73 of 334
Længde
51M
Sprog
Engelsk
Format
Kategori
Økonomi & Business

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/


Lyt når som helst, hvor som helst

Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis

  • Lyt og læs så meget du har lyst til
  • Opdag et kæmpe bibliotek fyldt med fortællinger
  • Eksklusive titler + Mofibo Originals
  • Opsig når som helst
Prøv nu
DK - Details page - Device banner - 894x1036

Other podcasts you might like ...