What will you learn in Executive Data Science Specialization Course
Get a fast but solid foundation in data science, even without prior experience—including key terms, basic concepts, and project success factors.
Learn how to build and manage a data science team—from hiring and onboarding to motivating and coordinating diverse skill sets.
Understand the data analysis workflow—handling data pulls, exploratory analysis, interpreting results, and delivering impactful presentations.
Discover the realities of managing data science in practice—experiment design, messy data, communication pitfalls, and typical managerial challenges.
Program Overview
Course 1: A Crash Course in Data Science
⌛ 16 hours
Topics: What data science means for organizations. Key terms in the field. How successful projects work.
Hands-on: Watch videos, do readings, and complete nine short assignments.
Course 2: Building a Data Science Team
⌛ 25 hours
Topics: Roles on a data science team. Hiring and onboarding. Empowering team members.
Hands-on: Apply learning through exercises and scenario-based tasks.
Course 3: Managing Data Analysis
⌛ 38 hours
Topics: The iterative analysis process. Asking precise questions. Exploratory data analysis. Modeling and communication.
Hands-on: Manage and guide analytic workflows within a team setting.
Course 4: Data Science in Real Life
⌛ 47 hours
Topics: Common mistakes in projects. Design strengths and weaknesses. Real-world leadership challenges.
Hands-on: Reflect and troubleshoot using real-life examples and scenarios.
Course 5: Executive Data Science Capstone
⌛ 52 hours
Topics: Leading a virtual data science team from start to finish. Managing a full project and submission.
Hands-on: Lead a simulated project, make decisions, and prepare a final presentation.
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Job Outlook
Perfect for emerging or current leaders—managers, executives, or aspiring heads of data science—who want to understand how to guide data-driven teams effectively.
Helpful if you’re overseeing data science projects, product delivery, or strategic analytics initiatives in your organization.
Adds leadership and process clarity if you’re transitioning from technical roles into management, or shaping data strategy and team development.
Specification: Executive Data Science Specialization
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FAQs
- No prior data science experience is required.
- Designed for managers and executives transitioning into leadership roles.
- Introduces key data science concepts and workflows.
- Focuses on guiding and managing teams, not coding.
- Beginners can grasp concepts through scenario-based exercises.
- Covers hiring, onboarding, and motivating team members.
- Teaches coordination across diverse skill sets.
- Guides managers on effective project oversight.
- Explains common challenges in team communication.
- Provides scenario-based exercises for practical leadership practice.
- Primarily leadership-focused for non-technical managers.
- Introduces data science concepts without deep coding.
- Emphasizes project design, workflow, and communication.
- Includes hands-on exercises to simulate real team challenges.
- Suitable for executives overseeing analytics initiatives.
- Capstone simulates leading a virtual data science team.
- Covers project management from start to finish.
- Encourages decision-making in a real-world scenario.
- Results in a final presentation and portfolio-ready experience.
- Provides hands-on practice of course concepts.
- Prepares managers for leadership in data-driven teams.
- Useful for roles like data science manager or project leader.
- Enhances strategic decision-making and team coordination skills.
- Adds credibility for those moving from technical roles into management.
- Supports oversight of analytics projects across industries.
