Myths of Data Science Predictive Analytics and Data Science Conference May 27-28 Jarun Ngamvirojcharoen

1. Myths of Data Science
Jarun Ngamvirojcharoen

2. Source: https://balajiviswanathan.quora.com/Lessons-from-the-Blind-men-and-the-elephant
A Story of Blind Men and Elephant

3. Myth # 1 You need skills in Computer Science,
Math/Statistics, Domain Expertise
(aka Data Science Venn Diagram)
to be a good Data Scientist - Unicorn

4. Source: https://balajiviswanathan.quora.com/Lessons-from-the-Blind-men-and-the-elephant
Team Diversity and Collaborative Process as a Learning System

5. Source: https://balajiviswanathan.quora.com/Lessons-from-the-Blind-men-and-the-elephant
Many Thinking Hats

6. Myth # 2 Data Scientist builds machine learning
models to produce a compelling result

7. Deep Net
Interpretation
?

8. Myth # 3 We need big data because it gives us power

9. Big Data
Small
Value

10. Data Strategy/
Governance
Ethics
Organization
Culture
Infrastructure
Deployment
Organization
Process
Something Beyond Data Science