Month 25: Managing Data Science Projects
Week 1: Understanding Data Science Projects
- Day 1: Life Cycle of a Data Science Project
- Day 2: Problem Definition in Data Science Projects
- Day 3: Data Collection and Preparation
- Day 4: Data Exploration and Modeling
- Day 5: Model Evaluation and Deployment
Week 2: Project Management in Data Science
- Day 1: Understanding Project Management Principles
- Day 2: The Role of a Data Science Project Manager
- Day 3: Planning a Data Science Project
- Day 4: Managing Risks in Data Science Projects
- Day 5: Communicating Results in Data Science Projects
Week 3: Data Governance
- Day 1: Understanding Data Governance
- Day 2: Data Privacy and Security
- Day 3: Data Quality Management
- Day 4: Data Lineage and Metadata Management
- Day 5: Data Policies and Compliance
Week 4: Ethics in Data Science
- Day 1: Understanding the Importance of Ethics in Data Science
- Day 2: Ethical Considerations in Data Collection
- Day 3: Ethical Considerations in Data Analysis and Modeling
- Day 4: Ethical Considerations in AI and Machine Learning
- Day 5: Case Studies: Ethical Dilemmas in Data Science
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