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Build A Career in Data Science (Paperback)
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Build A Career in Data Science (Paperback)
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Build a Career in Data Science is the top guide to help readers get
their first data science job, then quickly becoming a senior
employee. Industry experts Jacqueline Nolis and Emily Robinson lay
out the soft skills readers need alongside their technical know-how
in order to succeed in the field. Key Features * 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 This book is for readers
who possess the foundational technical skills of data science, and
want to leverage them into a new or better job in the field. About
the technology 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. Jacqueline Nolis is a data science
consultant and co-founder of Nolis, LLC, with a PhD in Industrial
Engineering. Jacqueline has spent years mentoring junior data
scientists on how to work within organizations and grow their
careers. Emily Robinson is a senior data scientist at Warby Parker,
and holds a Master's in Management. Emily's academic background
includes the study of leadership, negotiation, and experiences of
underrepresented groups in STEM.
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