These courses have been fully completed and all their excercises and quizzes have been participted. From Jan 2021 to Aug 2022
| Computer Science Courses | School | |
|---|---|---|
| 1 | Intro to Computer Science | Harvard |
| 2 | Java Programming: Solving Problems with Software | Duke |
| 3 | Java Programming: Arrays, Lists, and Structured Data | Duke |
| 4 | Object Oriented Programming in Java | Duke |
| 5 | Data Structures and Performance | Duke |
| 6 | Java Programming: Principles of Software Design | Duke |
| 7 | Java Programming: Build a Recommendation System | Duke |
| 8 | Programming Languages, Part A | UW |
| 9 | Computer Science: Algorithms, Theory, and Machines | Princeton |
| 10 | Algorithms, Part I | Princeton |
| Math Courses | School | |
|---|---|---|
| 1 | Calculus 1A: Differentiation | MIT |
| 2 | Calculus 1B: Integration | MIT |
| 3 | Introduction to Probability and Data | Duke |
| 4 | Intro to Statistics | Udacity |
| 5 | MIT 18.06 Linear Algebra, Spring 2005 | MIT |
| 6 | MIT 18.065 Matrix Methods in Data Analysis, Signal Processing | MIT |
| Machine Learning Course | School | |
|---|---|---|
| 1 | Machine Learning | Stanford |
| Specialization Courses | School | |
|---|---|---|
| 1 | Machine Learning for Trading Specialization: Introduction to Trading, Machine Learning & GCP | Google Cloud + New York Institute Of Finance |
| 2 | Machine Learning for Trading Specialization: Using Machine Learning in Trading and Finance | Google Cloud + New York Institute Of Finance |
| 3 | Machine Learning for Trading Specialization: Reinforcement Learning for Trading Strategies | Google Cloud + New York Institute Of Finance |