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9781617296246: Build A Career in Data Science

Sinopsis

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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Acerca del autor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

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Robinson, Emily; Nolis, Jacqueline
Publicado por Manning Publications, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.23. Nº de ref. del artículo: G1617296244I3N00

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Robinson, Emily
Publicado por Manning Publications, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Condición: 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. Nº de ref. del artículo: wbs9215858417

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Robinson, Emily; Nolis, Jacqueline
Publicado por Manning Publications, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Robinson, Emily
Publicado por Manning Publications 3/24/2020, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Paperback or Softback. Condición: New. Build a Career in Data Science 1.3. Book. Nº de ref. del artículo: BBS-9781617296246

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Emily Robinson, Jacqueline Nolis
Publicado por Manning Publications, US, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: 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. Nº de ref. del artículo: LU-9781617296246

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Emily Robinson, Jacqueline Nolis
Publicado por Manning Publications, US, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: 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. Nº de ref. del artículo: LU-9781617296246

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Emily Robinson, Jacqueline Nolis
Publicado por Manning Publications, US, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Librería: Rarewaves.com UK, London, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: 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. Nº de ref. del artículo: LU-9781617296246

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Robinson, Emily|Nolis, Jacqueline
Publicado por MANNING PUBN, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Condición: New. &Uumlber 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. Nº de ref. del artículo: 319492755

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Emily Robinson, Jacqueline Nolis
Publicado por Manning Publications, US, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: 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. Nº de ref. del artículo: LU-9781617296246

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Nolis, Jacqueline/ Robinson, Emily
Publicado por Manning Pubns Co, 2020
ISBN 10: 1617296244 ISBN 13: 9781617296246
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Librería: Revaluation Books, Exeter, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: Brand New. 322 pages. 9.50x7.50x1.00 inches. In Stock. Nº de ref. del artículo: x-1617296244

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