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LifestyleExecutive 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
Quality Score
Overall Score : 90 / 100
Course Description
Instructor Details
- 4.5 Rating
181 Reviews
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
By Harland H on 22-Oct-19
The Executive Data Science Capstone was so much fun, while I was doing it I was really feeling like I am a data manager and managing the data science team in real life. So interesting it was.
By Efejiro A on 10-Oct-19
Great experience. It will be fun to be deeply engaged in similar projects to the Zillow one.At present, I will continue leveraging all the lessons learnt and share the good words instead of buzz words.By the way, the question about what to do with the data set has two misspells: "Incorperate" should be "Incorporate".Looking forward to staying engaged.GreetingsGiuseppe
By Praveen S on 5-Aug-19
Very useful, yet approachable introduction to data science concepts, language, usefulness and team dynamics.
By Jesse S on 14-Jul-19
Excellent way to evaluate all the process. It has done really good. I love it!!!
By Pier L P on 30-Jun-19
Excellent emphasis of the collaborative effort required to execute data science successfully. However, an area of improvement is allowing for the slide decks to be visible as an objective assessment is not allowed without accessing and viewing the slide decks.
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- Video Duration:
1h - Price: Free
- Provider: Coursera
- University:
Georgia Institute of Technology - Language:
English - Certificate:
Yes
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