9781617296246 - Build a Career in Data Science de Robinson, Emily; Nolis, Jacqueline (18 résultats)

Etat : 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.

Etat : New.

Paperback or Softback. Etat : New. Build a Career in Data Science 1.3. Book.

Paperback. Etat : 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.

Etat : 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.

Paperback. Etat : 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.

Paperback. Etat : 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.

Paperback. Etat : 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.

Paperback. Etat : Brand New. 322 pages. 9.50x7.50x1.00 inches. In Stock.

Paperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

Taschenbuch. Etat : Neu. Neuware - 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.

Etat : good. Gently used with light wear to the cover, corners, or spine. Pages are clean and free of writing or highlighting. Binding is tight and fully intact. Dust jacket included with hardcover books. Ships fast in a protective poly mailerâ"Monday through Friday, excluding weekends and holidays.

Paperback. Etat : new. Paperback. 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 thats 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

paperback. Etat : Fine.

Paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!