Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.
Build a Career in Data Science  By  cover art

Build a Career in Data Science

By: Emily Robinson, Jacqueline Nolis
Narrated by: Jeromy Lloyd
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $24.95

Buy for $24.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's summary

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 book:

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

Target audience:

For listeners 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.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2020 Manning Publications (P)2020 Manning Publications

More from the same

What listeners say about Build a Career in Data Science

Average customer ratings
Overall
  • 5 out of 5 stars
  • 5 Stars
    15
  • 4 Stars
    1
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0
Performance
  • 5 out of 5 stars
  • 5 Stars
    14
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0
Story
  • 5 out of 5 stars
  • 5 Stars
    14
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Excellent complement to an introductory course in Data Science

I started listening to this book towards the end of a six-month course I was taking in Data Science. The book helped me gain a broader perspective of data science as a discipline and a career and complemented the technical learning I was getting from the course.
The career advice presented by the authors is invaluable, and I see myself returning to specific chapters in the future as I grow and transition in the field of Data Science.
I'm glad I listened to the book and I highly recommend it.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

3 people found this helpful

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    3 out of 5 stars

Good narration. Soft content.

Some of the middle to later content is general career development content and not specific to data science. That doesn’t really help. Book could have gone into so many related topics to data science that it could have been more useful.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!