- Introduces key roles: data scientist, data analyst, ML engineer.
- Covers tools and workflows used in real-world projects.
- Highlights ethical considerations and collaborative dynamics.
- Provides a roadmap for pursuing further data science courses or certifications.
- Helps learners understand whether data science aligns with their interests.
