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Beginner to Advanced
14 Semaines est.
Modern Data Science & Machine Learning Masterpath
Complete end-to-end journey from tabular data analytics with Pandas and SQL to predictive modeling with Scikit-Learn and neural networks.
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🪜 Étapes d'apprentissage séquentielles (3 phases) :
#1
Data Wrangling & Exploratory Analysis
Data structures, statistical aggregation, data cleaning with Pandas, NumPy and SQL queries.
🎯 🎯 Compétences acquises dans l'étape :
Python, Pandas, NumPy, SQL, Matplotlib, Seaborn
Cours gratuits recommandés pour cette étape :
freeCodeCamp
100% GRATUIT
Scientific Computing with Python Certification
⭐ 4.9
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Harvard University
100% GRATUIT
CS50: Introduction to Computer Science
⭐ 4.9
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#2
Supervised & Unsupervised Machine Learning
Regression, classification, decision trees, random forests, clustering, and model validation.
🎯 🎯 Compétences acquises dans l'étape :
Scikit-Learn, Feature Engineering, Cross-Validation, Hyperparameter Tuning
Cours gratuits recommandés pour cette étape :
Udemy
100% GRATUIT
Internal Audit: Risk, Controls and the Audit Process [EN]
⭐ 5.0
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Stanford University & DeepLearning.AI
100% GRATUIT
Supervised Machine Learning: Regression and Classification
⭐ 4.9
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#3
Deep Learning & Business Intelligence
Neural networks, PyTorch/TensorFlow basics, interactive dashboards, and executive storytelling.
🎯 🎯 Compétences acquises dans l'étape :
PyTorch, TensorFlow, PowerBI, Streamlit, Predictive Analytics
Cours gratuits recommandés pour cette étape :
Harvard University
100% GRATUIT
CS50's Introduction to Artificial Intelligence with Python
⭐ 4.9
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