Executive Data Science Specialization

A compact, leadership-focused specialization designed to help managers step into—or refine—their roles as data science team leaders effectively

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access	Lifetime
level	Beginner
certificate	Certificate of completion
language	English

#Coursera

Description
Additional information

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.

9.8Expert Score

Highly Recommendedx

A concise, practical leadership-focused specialization that helps aspiring data science managers learn how to build, guide, and get the most out of their teams—suitable even for beginners.

Value

9.5

Price

9.3

Skills

9.8

Information

9.7

PROS

Ideal for busy professionals: beginner-friendly, flexible, and paced at roughly 4 weeks with 10 hours/week.
Covers both the theory and realities of managing data science—includes real-world challenges often missing from technical courses.
Capstone is interactive: giving a hands-on leadership-style experience through scenario simulation.

CONS

Not deeply technical—it’s aimed at leadership, not hands-on data science mastery. Advanced learners or technical staff may find the content too general.
May feel somewhat theoretical—some modules (e.g., “Building a Data Science Team”) may lack depth for seasoned managers.