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Introduction
Python ecosystem for data-science
Introduction to Machine Learning
Data analysis methodology
Python language
Import libraries
Basic operations
Data types
Execution control statements
List comprehensions, iterators, etc.
Functions
Regular expression
System programming
Scripts and argument parsing
Networking
Modules and packages
Object Oriented Programming (OOP)
Style guide for Python programming
Documenting
Exercises
Scientific Python
Numpy: arrays and matrices
Pandas: data manipulation
Data visualization: matplotlib & seaborn
Statistics
Univariate statistics
Lab: Brain volumes study
Linear Mixed Models
Multivariate statistics
Time series in python
Machine Learning
Linear dimension reduction and feature extraction
Manifold learning: non-linear dimension reduction
Clustering
Linear models for regression problems
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