Module 0. About the Course (2 min)

Module 1. Opportunity and Problem Modeling (39 min)

• Data Science
• Problem or Opportunity
• Thinking Styles
• The Stage Process
• Influence Modeling
• Kernel Seeking Modeling
• Causal Modeling
• Characteristics of a Good Problem Statement
• Define the Problem or Opportunity Example

Module 2. Data Science Project Charter (20 min)

• What is a Charter
• Benefits of a Charter
• Project Approach
• Project Outcomes – Hindsight
• Project Outcomes – Hindsight and Insight
• Project Outcomes – Insight
• Project Outcomes – Foresight
• Success Measures
• Assumptions
• Resources
• Constraints
• Milestone Schedule
• Budget
• Project Stakeholders
• Data Science Key Roles

Module 3. Data Science Project Methodology (26 min)

• Data Science Methodologies
• Cross Industry Standard Practices
• Team Data Science Process
• Agile SCRUM Process
• Data Science Methodologies review
• Data Science Analytical Technology
• Data Science Infrastructure Technology

Module 4. Data Science Project Scope (58 min)

• Project Type and Maturity
• Problem Statement to Project Type
• ABC Airlines
• Other Project Considerations
• Scope
• Key Deliverables

Module 5. Data Science Project Plan (15 min)

• Data Science Project Plan
• Agile and the Project Plan
• Project Kickoff
• Data Science Project Plan Image
• Project Plan Work Packages
• Data Science Project Plan Review

Module 6. Additional Documents (22 min)

• Data Science System Architecture Data Science System Architecture
• Data Science Data Definitions: Raw Data Sources
• Data Science Data Definitions: Process Data
• Data Science Data Definitions: Feature Sets
• Data Science Summary Report
• Data Science Model Report Part 1-2
• Data Science Exit Report: Overview
• Data Science Exit Report: Benefits
• Data Science Exit Report: Learnings

Click –here- to download a more detailed outline of this course.