Code |
Course Name |
Language |
Type |
VBA 312E |
Data Analytics |
English |
Compulsory |
Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
3 |
6 |
3 |
0 |
0 |
Course Prerequisites and Class Restriction |
Prerequisites |
(VBA 113E MIN DD or BIL 100E MIN DD) and (VBA 311E MIN DD or END 311E MIN DD)
|
Class Restriction |
None |
Course Description |
This course provides an in-depth introduction to data analytics and machine learning. Topics include
regression, classification, model training, optimization, regularization, decision trees, ensemble methods,
support vector machines, clustering, and dimension reduction. Students will engage in hands-on projects to
apply these concepts to real-world data sets, equipping them with essential skills in data analysis and model
building. |
|