Data Scientist:The Definitive Guide to Becoming a Data Scientist
Authors:Zacharias Voulgaris PhD
Release Finelybook 出版日期：2014-04-28
pages 页数：278 pages
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.
Chapter 1 Data Science and Big Data
Chapter 2 Importance of Data Science
Chapter 3 Types of Data Scientists
Chapter 4 The Data Scientist’s Mindset
Chapter 5 Technical Qualifications
Chapter 7 Networking
Chapter 8 Software Used
Chapter 9 Learning New Things and Tackling Problems
Chapter 10 Machine Learning and the R Platform
Chapter 11 The Data Science Process
Chapter 12 Specifhc Skills Required
Chapter 13 Where to Look for a Data Science Job
Chapter 14Presenting Yourself
Chapter 15 Freelance Track
Chapter 16 Experienced Data Scientists Case Studies
Chapter 17 Senior Data Scientist Case Study
Chapter 18 Call for New Data Scientists
Glossary of Computer and Big Data Terminology
Appendix 1 Useful Websites
Appendix 2 Relevant Articles
Appendix 3 Ofline Resources