Phase 1 (Month 1–2): Python fundamentals, SQL, and Excel. Phase 2 (Month 3–4): Statistics, Pandas, data visualization. Phase 3 (Month 5–6): Machine Learning with Scikit-learn.
Phase 4 (Month 7–8): Deep learning basics, NLP or computer vision specialization, capstone project. Throughout: build GitHub portfolio and practice mock interviews.
Avoid tutorial hell — work on real datasets every week. Kaggle, UCI datasets, and business case studies are excellent starting points.
Velora Institute follows this structured roadmap with mentor support, live projects, and placement assistance built in.