Who Should Attend
Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming and also be familiar with Python.
NumPy, pandas, Matplotlib, scikit-learn;
Data analytics life-cycle phases;
Data repairing and normalizing;
Data aggregation and grouping;
Data science algorithms for supervised and unsupervised; Machine Learning.