Program overview
- Type of courseBerufsorientierte Weiterbildung
- DegreeDiplom / Abschluss des Anbieters Certificate of completion
- Course languageEnglisch
- Time commitmentShort programme (< 200 hours or < 20 days), Alongside employment, Part-time
- Duration
1 semaine
What the program looks like
- Regression (linear, logistic);
- classification (K-NN);
- dimensionality reduction (PCA);
- support vector machines;
- clustering (K-means);
- decision trees;
- Bayesian learning;
- neural networks;
- deep neural networks (CNN, RNN and LSTM);
- data cleaning;
- models’ evaluation and features selection.
Admission
Participants are expected to:
Bring their personal computers during the course with full administrative rights.
Be familiar with the basic use of R and Python. Have basic familiarity with linear algebra and statistics.
Public cible
Big data and business intelligence technicians; Business analysts;
Big data and business intelligence project managers;
Students from universities and schools of applied sciences at master level or higher
Costs
CHF 1400 (tout compris) pour les professionnels, CHF 700 pour les étudiants