Skills curriculum that is based on up-to-date functional competency models and innovation frameworks.
Familiarity with Python, its grammar and its syntax. Use and preparation of code modules in python, including the main Machine Learning libraries. Preparation and statistical analysis of raw data of any format. Correct graphical representation of data. Application of the most common and contemporary Machine Learning models: k-Neighbors, hierarchical clustering, decision trees, artificial neural networks, ...
Introduction to Python. Introduction to Data Analytics. Exploratory Data Analysis. Data processing. Introduction to Machine Learning. Machine Learning (ML) using Python .