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Executive Data Science

Johns Hopkins University via Coursera Specialization

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.

Syllabus

Course 1: A Crash Course in Data Science
- Offered by Johns Hopkins University. By now you have definitely heard about data science and big data. In this one-week class, we will ... Enroll for free.

Course 2: Building a Data Science Team
- Offered by Johns Hopkins University. Data science is a team sport. As a data science executive it is your job to recruit, organize, and ... Enroll for free.

Course 3: Managing Data Analysis
- Offered by Johns Hopkins University. This one-week course describes the process of analyzing data and how to manage that process. We ... Enroll for free.

Course 4: Data Science in Real Life
- Offered by Johns Hopkins University. Have you ever had the perfect data science experience? The data pull went perfectly. There were no ... Enroll for free.

Course 5: Executive Data Science Capstone
- Offered by Johns Hopkins University. The Executive Data Science Capstone, the specialization’s culminating project, is an opportunity for ... Enroll for free.

Courses

Taught by

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

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Reviews

4.7 rating, based on 3 reviews

Start your review of Executive Data Science

  • As someone who is interested to learn about the field and apply its techniques to my future career, I find this course to be an excellent and systematic introduction to data science. I am fortunate to have taken this Coursera Specialization before formally embarking on academic programs and employment related to data science. Make no mistake, however: the bird's eye view this Specialization provides is conceptual, rather than practical. Taking further courses and perhaps entering educational programs and project-based training are strongly recommended before aiming to be a full-fledged data scientist.
  • 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.
  • Profile image for Jacky Wai
    Jacky Wai
    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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