The document discusses data science and provides an overview of key concepts. It defines data science as the process of analyzing and extracting information from data using mathematical and statistical algorithms as well as machine learning techniques. It also notes the variety of tools and APIs available for data science work. The document highlights some common applications of data science, such as business analysis, financial services, and analyzing social networks.

1. John von Neumann Institute - Viet Nam National University Ho Chi Minh City
Data Science
@ John von Neumann Institute
An Mai
an.mai@jvn.edu.vn

2. What is Data Science?
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3. Data → Information
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4. Data explodes → too much information
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5. Analyzing & Extracting Information?
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6. Math/Stats & Learning/Mining Algorithms
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7. Richness of tools & APIs
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8. Data Science today
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Bring Science to Data
https://www.youtube.com/watch?v=vbb-AjiXyh0

9. Applications
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https://www.youtube.com/watch?v=kmXwvyUTwP8
Business Analysis
Financial Services
Analyzing social networks
→Digital marketing/e-commerce

10. Future of Data Visualization
https://www.youtube.com/watch?v=vc1bq0qIKoA
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11. What are in the end …
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12. Richness
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13. That’s why…
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14. The salary?
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15. Data Science in the next two years?
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16. Learning & training are so important
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17. “stay hungry stay foolish”
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The world is yours, keep going ahead