Course Materials
Here you will find links to courses that I have developed and taught in Actuarial Science, Data Science, and Statistics. For each course, I have provided a collection of various types of resources that I have developed for these courses. Please note that these resources, like this page, are a continual work in progress. There is no doubt that they contain typos and minor errors here and there.
- Big Data Analytics
- Python for Data Science
- Predictive Modeling
- Machine Learning
- Deep Learning
- Probability Theory
- Regression Analysis
- Financial Mathematics
- Models for Financial Economics
Courses Taught
Here you will find a list of courses that I have taught during my academic career. I developed many of these courses from scratch. This is especially true for the Computer Science, Data Science , Statistics, and Financial Mathematics courses that I have taught.
Data Science
- Python for Data Science
- Data Analysis in R
- Machine Learning
- Deep Learning
- Predictive Modeling
- Data Science Capstone
Computer Science
- Introduction to Programming
Probability and Statistics
- Basic Statistics
- Statistics for Natural Sciences
- Regression Analysis
- Probability Theory
- Mathematical Statistics
Financial Mathematics and Finance
- Quantitative Methods for Business
- Interest Theory
- Financial Mathematics
- Models for Financial Economics
- Corporate Finance
Mathematics
- College Algebra
- Pre-Calculus
- Calculus I - III
- Elementary Differential Equations
- Linear Algebra
- Introduction to Linear Programming
- Introduction to Advanced Mathematics
- Algebraic Structures
- Introduction to Topology