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Course Goals
This course serves as an introduction to the fundamentals of statistics and probability theory and will cover most of the core principles of modern data analysis and predictive modeling.
Topics:
- Descriptive Statistics and Visualizations in Python
- Probabilities and Discrete Random Variables
- Continuous Random Variables and Laws of Large Numbers
- Parameter Estimation
- Statistical Testing
- Computer Simulations and Monte Carlo Methods
- Stochastic Processes
Lecture Modalities:
- tba
Registration
tba
General Information
tba