ISBN: 9781617296246 - build a career in data science (30 resultados)

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Paperback. Condición: Good. 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.…

Condición: good. All pages and cover are intact. Dust jacket included if applicable, though it may be missing on hardcover editions. Spine and cover may show minor signs of wear including scuff marks, curls or bends to corners as well as cosmetic blemishes including stickers. Pages may contain limited notes or highlighting. "From the library of" labels may be present. Shrink wrap, dust covers, or boxed set packaging may be missing. Bundled media e.g., CDs, DVDs, access codes may not be included.…

Paperback. Condición: Good. 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. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condición: As New. Unread copy in mint condition.

Condición: New. Brand New.

Paperback. Condición: new. New Copy. Customer Service Guaranteed.

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

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.…

Condición: New.

Paperback. Condición: Fine.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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.…

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

paperback. Condición: Gut. 322 Seiten; 9781617296246.3 Gewicht in Gramm: 1.

Condición: New. pp. 250 1st edition NO-PA16APR2015-KAP.

Condición: New. pp. 250.

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.

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.…

Taschenbuch. Condición: Neu. Neuware - SummaryYou 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.About the technologyWhat are the keys to a data scientist's long-term success Blending your technical know-how with the right "soft skills" turns out to be a central ingredient of a rewarding career.About the bookBuild a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you'll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You'll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book.What's insideCreating a portfolio of data science projectsAssessing and negotiating an offerLeaving gracefully and moving up the ladderInterviews with professional data scientistsAbout the readerFor readers who want to begin or advance a data science career.About the authorEmily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor.Table of Contents:PART 1 - GETTING STARTED WITH DATA SCIENCE1. What is data science 2. Data science companies3. Getting the skills4. Building a portfolioPART 2 - FINDING YOUR DATA SCIENCE JOB5. The search: Identifying the right job for you6. The application: Résumés and cover letters7. The interview: What to expect and how to handle it8. The offer: Knowing what to acceptPART 3 - SETTLING INTO DATA SCIENCE9. The first months on the job10. Making an effective analysis11. Deploying a model into production12. Working with stakeholdersPART 4 - GROWING IN YOUR DATA SCIENCE ROLE13. When your data science project fails14. Joining the data science community15. Leaving your job gracefully16. Moving up the ladder.…

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.…