Data science explained in less than 4 minutes… The practice of data science is comprised of:
Math / Statistics
- Time series analysis
- Regression analysis
- Decision trees
- Random forest
- Monte Carlo simulations
- Multi-criteria decision making model
- Markov chains
Coding
- Python (NumPy, SciPy, MatPlotLib, SciKit-Learn)
- R statistical programming
- SQL
- Javascript / D3.js
Domain Expertise
- Health
- Ecommerce
- Human Resources
- Criminal Science
- Business Management and Administration
- Journalism
Learn more about big data and data science in my newly released book, Data Science for Dummies. We also offer online classes for people who want to quickly and cheaply learn how to get started in doing data science.