Python for AI & Data Science
Train your students in the fundamentals of data science and artificial intelligence through real projects, in a professional development environment.
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What the module covers
A progressive path from Python to machine learning fundamentals, grounded in real-world use cases.
Advanced Python
Data structures, functions, object-oriented programming, best practices.
Data manipulation & analysis
NumPy, Pandas, cleaning and exploring real datasets.
Visualization
Matplotlib, Seaborn. Telling a story with data.
Introduction to Machine Learning
Regression, classification, model evaluation with scikit-learn.
Final project
Complete analysis of a real dataset, from exploration to presentation.
What's included
Coding Park Academy provides the complete technical and pedagogical environment.
- ✓Pre-configured Jupyter Web IDE, zero installation for students
- ✓Session-structured notebooks
- ✓Real datasets ready to use
- ✓Luna, AI coach that guides and assesses understanding at each step
- ✓Real-time instructor dashboard
- ✓Learning checkpoint assessments
Who it's for
This module is designed for programs looking to introduce or strengthen Python and data science in their curriculum.
- ›Professional bachelor's programs with a data component
- ›Tech bachelor's / IT bachelor's
- ›General master's programs (computer science, applied mathematics)
- ›MSc Data / Data Science
- ›Professional retraining programs
Instructor
Amine Lajmi
Doctor of Engineering in Computer Science
The module is taught by Amine Lajmi, PhD in Computer Science, software architect and technical trainer with over 10 years of production experience at organizations like TotalEnergies, Thales and SNCF.
Looking to add this module to your curriculum?
Describe your context, your students' level, and your timeline. We get back to you within 48h.