Case studies and tools using Big Data examples from industries: What are the real life dimensions for Big Data ? How to use Big Data for STEM ?

1. Real life for Big Data:
what is data science about?
Irina Muhina,
PhD in AI with 25 years practical experience,
Big Data and STEM Expert, Founder of iECARUS,
President of ERUDITE school
iECARUS is your concierge for educational intelligence.
www.iecarus.com
February, 2016

2. Agenda
• What is the Big Data ?
• What are the real life dimensions for Big Data ?
- return on investment (ROI)
- amount of real-time data
- demand for data scientists job and average compensation packages
- expectations for the data scientist
• Case studies and tools using Big Data examples from industries:
– Trading strategy analysis
– Parametric and distribution analysis
– Two-regimes risk model
– Correlation analysis with different cut-off
– Optimization models with re-sampling
•How to use Big Data for STEM ?

3. What is Big Data ? Gartner model

7. Who is a Data Scientist ?
• Works more closely with multiple teams when compared to
statisticians
• always expected to work with types of big data — operational
technology, text, streaming
• Combinations of mathematics, statistics, machine learning and
algorithmic processing
• Demand for communication skills much more frequently than BI
or statistics roles
• Have to be able to code, write and present well
Current roles:
• Solution architect
• Business analyst
• Requirements analyst
• Data modeler
•Data integration lead
•Data integration
developer
•Report writer
•BI platform lead
•Database administrator
•User trainer
•Data steward

8. Real projects using Big Data
case studies and tools from industries
• Trading strategy case study
• Parametric and distribution case study
• Two-regimes risk model case study
• Correlation analysis with different cut-off
• Optimization models with re-sampling
Analytical Tools
Excel, SAS, SPSS, R , SQL, Tableau,
MatLab, Watson , Hadoop

10. Daily price crossing 50D EMA of
ACWI seems to be a good strategy
Price crosses EMA from below, go overweight
Price crosses EMA from above, go underweight
Different trading strategies analysis
Trade benefit VS Trade length
Bad trades tend to be very short,
i.e. occur when the model is
switching between overweight
and underweight rapidly

15. Expand your analytic capabilities Gartner

16. • How to use Big Data for STEM ?
Emerging Role of the Data Scientist the Art of Data Science for IT,
business The Birth of Infonomics, the New Economics of Information