What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
Make higher quality decisions based on learning from data in real time. Decisions often are made after all data is collected. But, many applications need decision while data is being collected.
Instructor: Thomas Woolf
Included with
Recommended experience
Intermediate level
basic statistics and mathematics are assumed
Recommended experience
Intermediate level
basic statistics and mathematics are assumed
hypothesis testing while data is arriving - think of A:B testing -
flow control charts -an industry standard -and how they are developed and tested
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This specialization is for data scientists, applied mathematics, statisticians, or computer scientists, involved with decision making from data. The four courses build a firm foundation in how decisions can be meaningfully made, with confidence, on data collected in a streaming application. The level is intermediate, assuming basic math and statistics skills.
Applied Learning Project
Learners will have four programming exercises and a term project to help with mastering the material. This will lead to an ability to apply these concepts to real world problem settings. The four courses of the specialization will each include real world examples that will help you to see how these ideas have been applied.
By the end of the course you will: (1) understand sequential testing and thus when to stop collecting data and (2) how this concept is used today.
This is part of our specialization on Making Decision in Time. For this second course we start with a landmark paper from Chernoff and build new insights into the ideas that his paper sparked. The ending point should bring new code and new algorithm insights into perspective, and use, by many computer and data scientists.
This is part of our specialization on Making Decision in Time. For this third course we start with an intriguing study on SFPark and build new insights into the ideas that flow from this direction. The ending point should bring new code and new algorithm insights into perspective, and use, by many computer and data scientists.
This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be especially interesting for those with datasets that are being used to make decisions: either business, medical, or technology based.
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It is estimated that each course will take 3-5 weeks. Your time through the course is up to you, there is no forced time limit.
The course assumes basic math and statistics.
The courses build from the first to the fourth. It is not required to take them in order, but it may be easier to follow the flow done in that order.
Currently this is a specialization being offered as part of Coursera. There is no direct university credit for the course.
The course will help you to better understand how decisions can be made based upon real-time data collection. This pre-supposes that you have a framework for the analysis and interpretation of the data. Based on that framework, and we cover several routes in the specialization, you can interpret what the streaming data is telling you about the system that is producing the data.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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