Build a Career in Data Science

About Build a Career in Data Science

Build a Career in Data Science teaches you what data science courses leave out: from how to land your first job to the lifecycle of a data science project and even how to become a manager. This is a true how-to on obtaining and then navigating a data science career--filled with real stories from data scientists. This podcast is an extension of the similarly named book: Build a Career in Data Science.

Publisher

Jacqueline Nolis and Emily Robinson

Category

business

Language

en

Explicit

No

First episode

10 Sept 2020

Latest episode

2 Oct 2022

Latest episodes

22 episodes in the feed.

1. 

   2 Oct 2022

   Oops! We're Both Unemployed!!

   This very surprise bonus episode was made after Emily and Jacqueline found themselves simultaneously unemployed. Here Emily will chat about being part of a 15% company-wide labor reduction while Jacqueline walks through the steps she's been doing as she interviews with new companies. Join them for some vulnerable conversation that are relevant to this current wave of layoffs.

2. 

   7 Oct 2021

   Interlude: Data Science Subfields

   In this special live episode recorded at PyLadies London, Emily and Jacqueline discuss those little subfields of data science like experimentation and fraud. They ponder the benefits of becoming more specialized in your career and how different fields have different cultures. The episode ends with a Q&A using live audience questions!

3. 

   3 Jun 2021

   Epilogue: So What Have We Learned?

   In the final episode of Season 1, Emily and Jacqueline take a moment to reflect on all they've learned in writing a book and making a podcast about data science careers.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.8 / 5

73 ratings

Contact Build a Career in Data Science

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.