Build a Career in Data Science

Build a Career in Data Science

eBook Details:

  • Paperback: 354 pages
  • Publisher: WOW! eBook; 1st edition (March 24, 2020)
  • Language: English
  • ISBN-10: 1617296244
  • ISBN-13: 978-1617296246

eBook Description:

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.

Harvard Business Review called data science “the sexiest job of the 21st century.” From analyzing drug trials to helping sports teams pick new draftees, data scientists utilize data to tackle the big questions of a business. But despite demand, high competition and big expectations make data science a challenging field for the unprepared to break into and navigate. Alongside their technical skills, the successful data scientist needs to be a master of understanding data projects, adapting to company needs, and managing stakeholders.

What’s inside

  • Creating a portfolio to show off your data science projects
  • Picking the role that’s right for you
  • Assessing and negotiating an offer
  • Leaving gracefully and moving up the ladder
  • Interviews with professional data scientists about their experiences

Build a Career in Data Science is your guide to getting your first data science job, then quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple instructions you’ll craft a resume that hiring managers will love, learn how to ace your interview, and ensure you hit the ground running in your first months at your new job. Once you’ve gotten your foot in the door, learn to thrive as a data scientist by handling high expectations, dealing with stakeholders, and managing failures. Finally, you’ll look towards the future and learn about how to join the broader data science community, leaving a job gracefully, and plotting your career path. With this book by your side you’ll have everything you need to ensure a rewarding and productive role in data science.


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