Making Sense of Data
Step 1: Mathematics & Stats
- Statistics, Probability, and Linear Algebra.
Step 2: Programming
- Python: The king of Data Science.
- Libraries: Pandas, NumPy, Matplotlib.
- SQL: Essential for querying data.
Step 3: Data Visualization
- Tools like Tableau or Power BI.
Step 4: Machine Learning Intro
- Scikit-Learn basics.
- Supervised vs Unsupervised learning.