Executive Data Science
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة
- الطبع بواسطة Johns Hopkins University
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Offered by
عن
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.Auto Summary
Executive Data Science is a foundational course in IT & Computer Science designed to help you assemble the right team, ask the right questions, and avoid common pitfalls in data science projects. In four intensive courses, you'll gain essential knowledge to lead a data science enterprise, even without prior experience. Learn to recruit and develop a skilled team, understand the data science pipeline, and acquire practical skills to keep projects on track. Ideal for aspiring leaders, this course is available through Coursera with a Starter subscription.
Jeff Leek, PhD
Brian Caffo, PhD
Roger D. Peng, PhD