Course guide
Units | Suggested Learning Time | Basic Learning Materials and Readings | Complementary Study Materials and Readings | Assesment Activities and Practical Assignments | Evaluation Tests |
R and C++ Integration |
4.5 hours |
ET-F-001 |
|||
Python base |
3 hours |
BB-B-002 |
LB-E-003 |
ET-F-001 |
|
Numpy and Pandas libraries |
3 hours |
LN-F-005 |
BB-B-002 |
ET-F-001 |
|
Machine Learning (scikit-learn) | 6 hours |
LN-F-006 |
BB-B-002 |
ET-F-001 |
|
Python visualization | 3 hours |
LN-F-007 |
LB-E-010 |
ET-F-001 |
|
Stan | 1.5 hours |
BB-E-001 |
ET-F-001 |