Executive Data Science Capstone

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

Created by: Jeff Leek

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Overall Score : 92 / 100

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Course Description

The Executive Data Science Capstone, the specialization's culminating project, is an opportunity for people who have completed all four EDS courses to apply what they've learned to a real-world scenario developed in collaboration with Zillow, a data-driven online real estate and rental marketplace, and DataCamp, a web-based platform for data science programming. Your task will be to lead a virtual data science team and make key decisions along the way to demonstrate that you have what it takes to shepherd a complex analysis project from start to finish. For the final project, you will prepare and submit a presentation, which will be evaluated and graded by your fellow capstone participants.Course cover image by Luckey_sun. Creative Commons BY-SA https://flic.kr/p/bx1jvU

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Instructor Details

Jeff Leek

Jeff Leek is an Assistant Professor of statistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in statistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome logy, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for statistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

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Reviews

4.6

151 total reviews

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By Luz Y M R on 13-Jun-17

Nice try to set something interactive up .. but the capstone it is nothing more than that. All 5 courses could have formed a first module of the specialization "Executive Data Science" leaving room for much more project management related issues to be dealt with as well (just a thought). Feels like this specialization was just made to show off to other universities that "everything" was covered by JHU. I managed to complete the entire specialization within the 7 days trial period and as a result paid not a single dime for it. Compare this to "JHU Data Science" specialization that takes months to complete (sweat, tears, swears and even RSI). Turns out sweat and tears are much more satisfactory!

By Tushar K on 17-Jan-17

This required nearly no effort and is probably of little value in the real world.

By Chuan J on 24-Mar-18

It was too easy. :)

By YuanL on 18-May-16

I wasn't as challenged as I thought I would be with the Capstone course.

By Nitin S on 29-Mar-16

Thanks for creating short course for busy business pearson.But, it is too gamificate to (professional business managers) educate. In addition, this is the lack of contents.For improvement this course, I strongly recommend you to add create presentation and peer review assignments. This is the issue of the Coursera( included other MOOCs) Open Access Education philosophy.

By Dr. P R I on 4-Sep-16

Total disappointment. This was only clipping through a tool, not a real capstone project.

By Saaket V on 29-Mar-16

Disappointing, thought it would be more involved, perhaps with a real presentation graded by other participants in the course. Was interesting to watch the videos, but it was a 10 minute job. The other parts were OK, but after the Capstone I would hesitate to recommend the course.

By Ryan A H on 18-Nov-18

Thanks to all the instructors and their teams for creating this wonderful Course and improving my understanding on Data Science as a Discipline

By Michael R D on 20-Dec-18

A great addition the the Data Science program for those that want or have to lead a team

By NAMRATA P on 25-Dec-18

Loved this simulation! Great work for a final experience with this course.

By Ariful l on 27-Jan-19

excellent

By Hemanoel P A on 1-Feb-19

Coursera data science very help full, interest in learning.