- Covers Python-based data science workflow from data wrangling to ML modeling.
- Provides hands-on projects and real datasets to build a portfolio.
- Teaches statistical analysis, EDA, and visualization for business insights.
- Prepares learners for job roles like Data Scientist, Data Analyst, or ML Engineer.
- Offers guidance on resume building and interview readiness.
