- Dedicate consistent weekly hours (5–10 hours) for modules and exercises.
- Focus on hands-on practice to reinforce theoretical concepts.
- Use cloud or local Spark environments to experiment beyond course labs.
- Start with small datasets to build confidence before scaling up.
- Document exercises and capstone projects to create a professional portfolio.
