Executive Data Science Specialization Course Syllabus

Overview: This Executive Data Science Specialization is designed for leaders and aspiring managers who want to effectively guide data science teams, even without prior technical experience. The program spans approximately 18 weeks with a total of 178 hours of content, structured across five core courses and a capstone project. Each module blends foundational concepts with practical leadership challenges in data science, offering a realistic view of team building, project management, and decision-making under uncertainty. Learners will engage with video lectures, readings, scenario-based exercises, and a final simulation to prepare for real-world leadership roles in data-driven environments.

Module 1: A Crash Course in Data Science

Estimated time: 16 hours

• Understanding what data science means for organizations
• Key terminology and foundational concepts in data science
• Components of successful data science projects
• Introduction to data-driven decision-making processes

Module 2: Building a Data Science Team

Estimated time: 25 hours

• Defining roles within a data science team
• Strategies for hiring and onboarding data professionals
• Empowering diverse skill sets and fostering collaboration
• Aligning team structure with organizational goals

Module 3: Managing Data Analysis

Estimated time: 38 hours

• Understanding the iterative nature of data analysis
• Formulating precise analytical questions
• Guiding exploratory data analysis and modeling efforts
• Communicating results effectively to stakeholders

Module 4: Data Science in Real Life

Estimated time: 47 hours

• Identifying common pitfalls in data science projects
• Evaluating strengths and weaknesses in experimental design
• Navigating communication challenges and managerial obstacles
• Applying best practices in real-world scenarios

Module 5: Executive Data Science Capstone

Estimated time: 52 hours

• Leading a virtual data science team from inception
• Managing end-to-end project workflow and deliverables
• Preparing and presenting final project outcomes

Prerequisites

• Familiarity with basic business concepts
• No prior programming or advanced statistics required
• Interest in leadership or management roles in data-driven environments

What You'll Be Able to Do After

• Explain core data science concepts and their organizational impact
• Build and manage effective data science teams
• Guide data analysis projects from planning to presentation
• Anticipate and resolve common managerial challenges in data science
• Lead a complete data science initiative through simulation and strategic decision-making