How To Get Into Data Science, Part 2 w/ Guest, Jonathan Bechtel Deep Data Dive

This episode is part 2 of our discussion with Jonathan Bechtel, a data science instructor at General Assembly. In this episode we  tackle the following topics:

  • The job application/hiring process for data science

      - Do bootcamps and graduate programs offer a career services office?

      - Training for technical screenings

      - How long does a job search take?

  • How is applying into a data science job different now vs 3 or 4 years ago? 



😎ABOUT US:

Laura and Vijay are data scientists who enjoy talking about data and sharing their experiences, which is why they started this podcast. Laura worked in credit risk modeling and experimental design. She is also an amateur silversmith. Vijay worked on Deep Learning NLP models and recommender systems. He also loves learning new things, like French. On Deep Data Dive, they will share their work experiences, discuss data science fundamentals, and chat with guests, and more.



👍🏼 PODCAST MISSION STATEMENT:

Welcome to Deep Data Dive! Data is the new oil and data scientist is the sexist job of the 21st century (at least according to Harvard Business Review…). If you want to learn more, you’re in the right place! Follow us as we discuss our work experiences, review key data science concepts, learn new concepts, and chat with guests. We will tell you everything they know about the field, getting a job as a data scientist, and what the job is like. We hope you will follow our journey, have some fun, laugh, and learn some data science along the way.



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🎥 VIDEO PRODUCTION:

Dana Donovick, Passion Possible, LLC.

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https://twitter.com/PassionPossible

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