Computational Tools for Business Analytics

Course description:
Business analytics with Python (processing and storing of data, use of machine learning and optimization algorithms, visualization of results). Methods, algorithms and case studies of business analytics for portfolio management and optimisation. Methods, algorithms and case studies for business analytics in Industry 4.0. Lab hours with Pyomo (optimization modeling language), SymPy (Perform symbolic math computations), Gurobi Optimizer (mathematical programming solver).

Course coordinator: Prof. Dimitris Apostolou