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Data Science Roadmap
Track your progress through the learning path
Foundations
1/6
Python/R Programming
Statistics (Descriptive & Inferential)
Linear Algebra & Calculus
Data Manipulation
2/6
Pandas & NumPy
SQL (PostgreSQL, MySQL)
APIs & Web Scraping
Data Visualization
3/6
Matplotlib & Seaborn
Tableau/Power BI
Plotly/Dash
Machine Learning
4/6
Supervised Learning (Regression, Classification)
Unsupervised Learning (Clustering, PCA)
Scikit-Learn & TensorFlow/PyTorch
Model Evaluation (Precision, Recall, AUC-ROC)
Advanced Topics
5/6
Deep Learning (CNNs, RNNs)
NLP (Transformers, BERT)
Big Data (Spark, Hadoop)
Deployment & Projects
6/6
Flask/FastAPI for Model Deployment
Cloud (AWS SageMaker, GCP)
Portfolio Projects (Kaggle, GitHub)
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