Articoli correlati a Build a Career in Data Science
Sinossi
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
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 data scientist at DataCamp, and holds a Master's in Management. Emily's academic background includes the study of leadership, negotiation, and experiences of underrepresented groups in STEM.
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.
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.
 
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Build a Career in Data Science
Editore:
Manning Publications, 2020
ISBN 10: 1617296244
ISBN 13: 9781617296246
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Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.23. Codice articolo G1617296244I3N00
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Build a Career in Data Science
Editore:
Manning Publications, 2020
ISBN 10: 1617296244
ISBN 13: 9781617296246
Antico o usato
Paperback
Da: ThriftBooks-Reno, Reno, NV, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.23. Codice articolo G1617296244I3N00
Quantità: 1 disponibili
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Build a Career in Data Science
Editore:
Manning Publications, 2020
ISBN 10: 1617296244
ISBN 13: 9781617296246
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Paperback
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.23. Codice articolo G1617296244I4N00
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Build A Career in Data Science
Editore:
Manning Publications, 2020
ISBN 10: 1617296244
ISBN 13: 9781617296246
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Condizione: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Codice articolo wbs9215858417
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Build a Career in Data Science
Da: California Books, Miami, FL, U.S.A.
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Condizione: New. Codice articolo I-9781617296246
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Build a Career in Data Science (Paperback or Softback)
Editore:
Manning Publications 3/24/2020, 2020
ISBN 10: 1617296244
ISBN 13: 9781617296246
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Paperback or Softback. Condizione: New. Build a Career in Data Science 1.3. Book. Codice articolo BBS-9781617296246
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Build a Career in Data Science
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Condizione: New. Über den AutorJacqueline 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 g. Codice articolo 319492755
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Build A Career in Data Science
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
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Paperback. Condizione: New. 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. Codice articolo LU-9781617296246
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Build A Career in Data Science
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Paperback. Condizione: New. 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. Codice articolo LU-9781617296246
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Build A Career in Data Science
Da: Rarewaves.com UK, London, Regno Unito
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Paperback. Condizione: New. 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. Codice articolo LU-9781617296246
Quantità: Più di 20 disponibili