📊
Beginner to Advanced
14 Wochen ca.
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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Vollständiger Lehrplan schaltet offizielles Abzeichen frei
🪜 Sequenzielle Lernphasen (3 Phasen):
#1
Data Wrangling & Exploratory Analysis
Data structures, statistical aggregation, data cleaning with Pandas, NumPy and SQL queries.
🎯 🎯 Skills dieser Phase:
Python, Pandas, NumPy, SQL, Matplotlib, Seaborn
Empfohlene Gratis-Kurse für diese Phase:
freeCodeCamp
100% KOSTENLOS
Scientific Computing with Python Certification
⭐ 4.9
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Harvard University
100% KOSTENLOS
CS50: Introduction to Computer Science
⭐ 4.9
Start Course 🚀
#2
Supervised & Unsupervised Machine Learning
Regression, classification, decision trees, random forests, clustering, and model validation.
🎯 🎯 Skills dieser Phase:
Scikit-Learn, Feature Engineering, Cross-Validation, Hyperparameter Tuning
Empfohlene Gratis-Kurse für diese Phase:
Udemy
100% KOSTENLOS
Internal Audit: Risk, Controls and the Audit Process [EN]
⭐ 5.0
Start Course 🚀
Stanford University & DeepLearning.AI
100% KOSTENLOS
Supervised Machine Learning: Regression and Classification
⭐ 4.9
Start Course 🚀
#3
Deep Learning & Business Intelligence
Neural networks, PyTorch/TensorFlow basics, interactive dashboards, and executive storytelling.
🎯 🎯 Skills dieser Phase:
PyTorch, TensorFlow, PowerBI, Streamlit, Predictive Analytics
Empfohlene Gratis-Kurse für diese Phase:
Harvard University
100% KOSTENLOS
CS50's Introduction to Artificial Intelligence with Python
⭐ 4.9
Start Course 🚀