Data Scientist

Computers / Databases / Data Mining, Computers / Mathematical & Statistical Software, Ebook

As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how. Each chapter is filled with practical information that will help you reap the fruits of big data and become a successful Data Scientist: • Learn what big data is and how it differs from traditional data through its main characteristics: volume, variety, velocity, and veracity. • Explore the different types of Data Scientists and the skillset each one has. • Dig into what the role of the Data Scientist requires in terms of the relevant mindset, technical skills, experience, and how the Data Scientist connects with other people. • Be a Data Scientist for a day, examining the problems you may encounter and how you tackle them, what programs you use, and how you expand your knowledge and know-how. • See how you can become a Data Scientist, based on where you are starting from: a programming, machine learning, or data-related background. • Follow step-by-step through the process of landing a Data Scientist job: where you need to look, how you would present yourself to a potential employer, and what it takes to follow a freelancer path. • Read the case studies of experienced, senior-level Data Scientists, in an attempt to get a better perspective of what this role is, in practice. At the end of the book, there is a glossary of the most important terms that have been introduced, as well as three appendices – a list of useful sites, some relevant articles on the web, and a list of offline resources for further reading.

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Data Scientist


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Author by : Zacharias Voulgaris, PhD
Languange Used : en
Release Date : 2014-05-01
Publisher by : Technics Publications

As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more imp

Developing Analytic Talent


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Author by : Vincent Granville
Languange Used : en
Release Date : 2014-03-24
Publisher by : John Wiley & Sons

Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest

Doing Data Science


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Author by : Cathy O'Neil
Languange Used : en
Release Date : 2013-10-09
Publisher by : "O'Reilly Media, Inc."

Now that people are aware that data can make the difference in an election or a business model, data science a

Data Science From Scratch


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Author by : Joel Grus
Languange Used : en
Release Date : 2015-04-14
Publisher by : "O'Reilly Media, Inc."

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also

What Is Data Science


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Author by : Mike Loukides
Languange Used : en
Release Date : 2011-04-10
Publisher by : "O'Reilly Media, Inc."

We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2

The Data Science Handbook


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Author by : Field Cady
Languange Used : en
Release Date : 2017-02-28
Publisher by : John Wiley & Sons

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to

Data Scientists At Work


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Author by : Sebastian Gutierrez
Languange Used : en
Release Date : 2014-12-12
Publisher by : Apress

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovat

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