Build a Career in Data Science

Written By Emily Robinson
Build a Career in Data Science
  • Publsiher : Manning Publications
  • Release : 24 March 2020
  • ISBN : 1617296244
  • Pages : 354 pages
  • Rating : /5 from reviews
GET THIS BOOKBuild a Career in Data Science


Download or read book entitled Build a Career in Data Science by author: Emily Robinson which was release on 24 March 2020 and published by Manning Publications with total page 354 pages . This book available in PDF, EPUB and Kindle Format. Summary You 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What 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 book Build 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 inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily 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 SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder

Build a Career in Data Science

Build a Career in Data Science
  • Author : Emily Robinson,Jacqueline Nolis
  • Publisher : Manning Publications
  • Release Date : 2020-03-24
  • Total pages : 354
  • ISBN : 1617296244
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Summary : Summary You 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. ...

30 Second Data Science

30 Second Data Science
  • Author : Liberty Vittert
  • Publisher : 30 Second
  • Release Date : 2020-09-29
  • Total pages : 160
  • ISBN : 1617296244
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Summary : 30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to ...

The 9 Pitfalls of Data Science

The 9 Pitfalls of Data Science
  • Author : Jay Cordes
  • Publisher : Oxford University Press, USA
  • Release Date : 2019-07-08
  • Total pages : 272
  • ISBN : 1617296244
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Summary : Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at ...

97 Things About Ethics Everyone in Data Science Should Know

97 Things About Ethics Everyone in Data Science Should Know
  • Author : Bill Franks
  • Publisher : O'Reilly Media
  • Release Date : 2020-08-06
  • Total pages : 346
  • ISBN : 1617296244
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Summary : Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In ...

Ethics and Data Science

Ethics and Data Science
  • Author : Mike Loukides,Hilary Mason,Dj Patil
  • Publisher : Unknown
  • Release Date : 2018-07-25
  • Total pages : 40
  • ISBN : 1617296244
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Summary : As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles ...

2019 6th Swiss Conference on Data Science SDS

2019 6th Swiss Conference on Data Science  SDS
  • Author : Melanie Geiger
  • Publisher : Unknown
  • Release Date : 2019
  • Total pages : 212
  • ISBN : 1617296244
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Summary : Read online 2019 6th Swiss Conference on Data Science SDS written by Melanie Geiger, published by which was released on 2019. Download full 2019 6th Swiss Conference on Data Science SDS Books now! Available in PDF, ePub and Kindle....

Python for Data Science The Ultimate Beginner s Guide to Learn Data Science Analysis and Machine Learning from Scratch with Step by Step Exe

Python for Data Science  The Ultimate Beginner s Guide to Learn Data Science  Analysis  and Machine Learning from Scratch with Step by Step Exe
  • Author : John Russel
  • Publisher : Python Programming
  • Release Date : 2020-09-22
  • Total pages : 140
  • ISBN : 1617296244
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Summary : Looking for methods that you can use to make yourself more competitive in your industry? Or are you worried about what your customers may think about your products or services? The truth is...In the modern world, data has become fundamental, and companies are finding new ways to use the ...

A Data Science Approach to Behavioural Change

A Data Science Approach to Behavioural Change
  • Author : Rodrigo Mazorra Blanco
  • Publisher : Unknown
  • Release Date : 2019
  • Total pages : 212
  • ISBN : 1617296244
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Summary : Read online A Data Science Approach to Behavioural Change written by Rodrigo Mazorra Blanco, published by which was released on 2019. Download full A Data Science Approach to Behavioural Change Books now! Available in PDF, ePub and Kindle....

R for Data Science

R for Data Science
  • Author : Hadley Wickham,Garrett Grolemund
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2016-12-12
  • Total pages : 492
  • ISBN : 1617296244
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Summary : "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--...

Spark for Data Science

Spark for Data Science
  • Author : Srinivas Duvvuri,Bikramaditya Singhal
  • Publisher : Packt Publishing Ltd
  • Release Date : 2016-09-30
  • Total pages : 344
  • ISBN : 1617296244
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Summary : Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book Perform data analysis and build predictive models on huge datasets that leverage Apache Spark Learn to integrate data science algorithms and techniques with the fast and scalable computing features of ...

DATA SCIENCE

DATA SCIENCE
  • Author : William Vance
  • Publisher : joiningthedotstv
  • Release Date : 2021-04-14
  • Total pages : 95
  • ISBN : 1617296244
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Summary : Discover advanced methods and strategies to learn data science for business. When the concept ‘data science’ was incorporated into some basic business decision processes, it was, at some point, neglected. But with the recent technological advancement, this method of analytics can no longer be neglected in the various decision-making process ...

Python for Data Science For Dummies

Python for Data Science For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release Date : 2019-02-27
  • Total pages : 496
  • ISBN : 1617296244
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Summary : The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the ...

Data Science VIEH GROUP

Data Science  VIEH GROUP
  • Author : Shaikh Nooruddin
  • Publisher : VIEH GROUP
  • Release Date : 2021-04-14
  • Total pages : 27
  • ISBN : 1617296244
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Summary : DATA SCIENCE FOR BEGINNERS BY VIEH GROUP Data Science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the scientific method, different technologies, and algorithms. In this book you will learn all the basic ...

An Introduction to Data Science

An Introduction to Data Science
  • Author : Jeffrey S. Saltz,Jeffrey M. Stanton
  • Publisher : SAGE Publications
  • Release Date : 2017-08-25
  • Total pages : 288
  • ISBN : 1617296244
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Summary : An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language ...

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
  • Author : Peter Bruce,Andrew Bruce,Peter Gedeck
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2020-04-10
  • Total pages : 368
  • ISBN : 1617296244
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Summary : Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical ...