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Data Science: Hype vs Reality Szilárd Pafka, PhD Chief Scientist, Epoch
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Data Science: Hype vs Reality - talk at GA - Dec 2013

Dec 05, 2014

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Page 1: Data Science: Hype vs Reality - talk at GA - Dec 2013

Data Science: Hype vs Reality

Szilárd Pafka, PhDChief Scientist, Epoch

Page 2: Data Science: Hype vs Reality - talk at GA - Dec 2013

Introduction 2

Page 3: Data Science: Hype vs Reality - talk at GA - Dec 2013

Agenda 3

‣ What is Data Science?‣ The Process of Analyzing Data‣ Tools for Data Analysis‣ Skills for Data Science‣ Organizational Structure

Page 4: Data Science: Hype vs Reality - talk at GA - Dec 2013

What is Data Science? 4

Page 5: Data Science: Hype vs Reality - talk at GA - Dec 2013

The Process of Analyzing Data 5

Page 6: Data Science: Hype vs Reality - talk at GA - Dec 2013

Tools for Data Analysis 6

Page 7: Data Science: Hype vs Reality - talk at GA - Dec 2013

Skills for Data Science 7

Page 8: Data Science: Hype vs Reality - talk at GA - Dec 2013

Organizational Structure 8

Page 9: Data Science: Hype vs Reality - talk at GA - Dec 2013

Class Wrap-Up & Takeaways 9

‣ Get a more realistic picture of how data science can help your business‣ Learn what are the main tasks in data analysis‣ Learn some common pitfalls in data science projects‣ Learn what are the tools commonly used for data analysis‣ Learn about the most important factors to look for when you are building

a data science team

Page 10: Data Science: Hype vs Reality - talk at GA - Dec 2013

Q&A10Data Science: Hype vs Reality – Szilárd Pafka