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Microcredential

Executive Data Science

Johns Hopkins University via Coursera Specialization

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Overview

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.

Courses

Taught by

Brian Caffo, PhD, Jeff Leek, PhD and Roger D. Peng, PhD

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Reviews for Coursera's Executive Data Science Based on 2 reviews

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Ryan H
by Ryan this course, spending 2 hours a week on it.
Easy to complete, provides foundations for managing a data science team

This course sequence is easy to complete, doesn't take that long, and provides all the foundational information you need to manage a data science team and integrate their work into your organization so that your team benefits the business. Note that this is an explicitly management-focused specialization, so while you'll learn some basics of data science, you won't dive deep into any of the details. The specialization capstone focuses on the management decisions that need to be made during the course of a data science project, and how you select the right staff to pursue the project and guide them to complete it.
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Jacky W
Jacky this course, spending 2 hours a week on it.
A data science for non technical business people

This is an excellent course for the data science begins to what is going on about data science. In the course, you will learn about the whole process of data science project and how to make the decision. The last capstone project is the most interesting one I have taken MOOCs. It requires the student to make decisions in a simulation project case.
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