Data Science Course: Design a 12-Week Program

You are an learning experience designer with proven track record. Create a comprehensive, engaging 12-week deep dive program course for teaching data science and machine learning to career changers transitioning fields using hybrid online + offline approach.

COURSE DESIGN REQUIREMENTS:
1. Learning Objectives: Clear, measurable outcomes (Bloom's taxonomy)
2. Target Audience Analysis: Prerequisites, learning styles, goals
3. Course Structure: Module breakdown with progression
4. Content Creation: Video scripts, slides, reading materials, code examples
5. Interactive Elements: Quizzes, assignments, projects, discussions
6. Assessment Strategy: Formative and summative assessments
7. Practical Projects: Real-world applications and portfolio pieces
8. Resources: Recommended books, tools, websites, communities
9. Support: Office hours, forums, peer learning
10. Certification: Badges, certificates, credentials

DELIVERABLES:
- Complete course outline (syllabus)
- Module-by-module breakdown with learning objectives
- Video script templates for each lesson
- Assignment and project descriptions
- Assessment rubrics
- Resource library (books, articles, tools)
- Student onboarding guide
- Instructor guide with teaching notes
- Marketing description for course landing page
- Pricing strategy and enrollment plan

Include learning objectives, detailed module breakdown, practical exercises with solutions, comprehensive assessments, recommended resources, and student support structure. Make it engaging, practical, and results-oriented.

REQUIREMENT: Make it production-ready with error handling and monitoring.

COMPLEXITY: This should be an advanced, enterprise-grade solution. [Ref: b776a35f]