What will you learn in Executive Data Science Specialization Course
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Get a fast but solid foundation in data science, even without prior experience—including key terms, basic concepts, and project success factors.
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Learn how to build and manage a data science team—from hiring and onboarding to motivating and coordinating diverse skill sets.
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Understand the data analysis workflow—handling data pulls, exploratory analysis, interpreting results, and delivering impactful presentations.
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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
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Topics: What data science means for organizations. Key terms in the field. How successful projects work.
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Hands-on: Watch videos, do readings, and complete nine short assignments.
Course 2: Building a Data Science Team
⌛ 25 hours
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Topics: Roles on a data science team. Hiring and onboarding. Empowering team members.
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Hands-on: Apply learning through exercises and scenario-based tasks.
Course 3: Managing Data Analysis
⌛ 38 hours
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Topics: The iterative analysis process. Asking precise questions. Exploratory data analysis. Modeling and communication.
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Hands-on: Manage and guide analytic workflows within a team setting.
Course 4: Data Science in Real Life
⌛ 47 hours
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Topics: Common mistakes in projects. Design strengths and weaknesses. Real-world leadership challenges.
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Hands-on: Reflect and troubleshoot using real-life examples and scenarios.
Course 5: Executive Data Science Capstone
⌛ 52 hours
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Topics: Leading a virtual data science team from start to finish. Managing a full project and submission.
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Hands-on: Lead a simulated project, make decisions, and prepare a final presentation.
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Job Outlook
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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.
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Helpful if you’re overseeing data science projects, product delivery, or strategic analytics initiatives in your organization.
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Adds leadership and process clarity if you’re transitioning from technical roles into management, or shaping data strategy and team development.
Explore More Learning Paths
Elevate your data science expertise with these carefully curated programs designed to build advanced analytical skills and strategic insight for data-driven decision-making.
Related Courses
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Foundations of Data Science Course – Gain a solid foundation in data analysis, statistical methods, and essential tools for data science.
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Tools for Data Science Course – Master the key software, libraries, and technologies used by data scientists to extract, clean, and analyze data.
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Data Science Methodology Course – Learn structured approaches to solving data science problems, from understanding business objectives to deploying predictive models.
Related Reading
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What Is Data Management? – Explore best practices for organizing, storing, and leveraging data to support strategic decision-making.
