| Artificial Intelligence |
Neural Networks implementation and applications such as image processing, prediction and NLP. |
| Data Visualization |
Learnt principles behind proper visualization of data and how to convey messages through data. |
| Numerical computation for Data Science |
Practical implications of modelling data on computers and state of the art algorithms for solving problems with data. |
| Data Structures and Algorithms |
Learnt many types of data structures and algorithms and their applications in solving problems. |
| Regression Analysis |
How regression converges and how to properly produce models based on the many types of regression. |
| Statistical Methods |
How to model real life occurrences with distributions, conduct Hypothesis tests and properly collect data. |
| Micro Economics |
Game theory, market structures, consumer welfare theorem, types of goods and their implications |
| Macro Economics |
Labour, Goods and Asset markets and its impacts in national economies. |