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

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Transcript

  • 1. Data Science: Hype vs Reality Szilárd Pafka, PhD Chief Scientist, Epoch
  • 2. Introduction 2
  • 3. Agenda ‣ What is Data Science? ‣ The Process of Analyzing Data ‣ Tools for Data Analysis ‣ Skills for Data Science ‣ Organizational Structure 3
  • 4. What is Data Science? 4
  • 5. The Process of Analyzing Data 5
  • 6. Tools for Data Analysis 6
  • 7. Skills for Data Science 7
  • 8. Organizational Structure 8
  • 9. Class Wrap-Up & Takeaways ‣ 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 9
  • 10. Data Science: Hype vs Reality – Szilárd Pafka Q&A 10

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