Python is the backbone of modern Data Science. These libraries form the foundation of almost every data project:
1. Pandas — data manipulation and analysis. 2. NumPy — numerical computing. 3. Matplotlib & Seaborn — visualization. 4. Scikit-learn — machine learning. 5. TensorFlow/PyTorch — deep learning.
Also learn Statsmodels for statistics, NLTK/spaCy for NLP, and Jupyter for interactive notebooks. At Velora, students use these tools on live projects from week one.
Start with Pandas and SQL before jumping into ML. A structured learning path saves months of confusion.