🧭 PHASE 0: Prep Ground (Weeks 0–2)

Objective: Build a strong base before diving deep.

✅ Learn:

• Python (Advanced)
  • Control flow, functions, OOP
  • Libraries: os, collections, itertools, typing
• Git & GitHub – Version control basics, branching, PRs

🔗 Resources:

• Python Docs
• GitHub Hello World Repo
• Automate the Boring Stuff (book)

🔢 PHASE 1: Core Data Science + ML (Weeks 3–6)

Objective: Build fluency in ML and data handling.

✅ Learn:

• NumPy, Pandas – Data wrangling & feature engineering
• Matplotlib, Seaborn, Plotly – Data visualization
• Scikit-learn – ML algorithms (classification, regression, clustering)
• SQL – Data querying for tabular tasks