Build a Career in Data Science
Emily Robinson and Jacqueline Nolis
  • March 2020
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Full of useful advice, real-case scenarios, and contributions from professionals in the industry.

Sebastián Palma Mardones, ArchDaily
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.

About the Technology

What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career.

About the audiobook

Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book.

What's inside

  • Creating a portfolio of data science projects
  • Assessing and negotiating an offer
  • Leaving gracefully and moving up the ladder
  • Interviews with professional data scientists

About the listener

For readers who want to begin or advance a data science career.

About the authors

Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor.

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liveAudio

liveAudio integrates a professional voice recording with the book’s text, graphics, code, and exercises in Manning’s exclusive liveBook online reader.

Use the text to search and navigate the audio, or download the audio-only recording for portable offline listening.

The perfect companion for someone who wants to be a successful data scientist!

Gustavo Gomes, Brightcove

Insightful overview of all aspects of a data science career.

Krzysztof Jędrzejewski, Pearson

Highly recommended.

Hagai Luger, Clarizen
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