- Estimated completion is around 4–6 months at a part-time pace.
- Weekly commitment of 4–6 hours is generally sufficient for lectures and exercises.
- Regular practice in coding, visualization, and modeling reinforces learning.
- Revisiting assignments or exploring additional datasets may require extra time.
- Consistent engagement ensures learners develop both conceptual understanding and practical R skills.
