Massachusetts Institute of Technology (MIT)
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Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. Taking this class will allow you to expand your statistical knowledge to not only include a list of methods, but also the mathematical principles that link them together, equipping you with the tools you need to develop new ones.
Massachusetts Institute of Technology (MIT) Advanced 18 weeks
An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.
Massachusetts Institute of Technology (MIT) Beginner 9 weeks
Differential equations are the language of the models we use to describe the world around us. In this mathematics course, we will explore temperature, spring systems, circuits, population growth, and biological cell motion to illustrate how differential equations can be used to model nearly everything in the world around us.
Massachusetts Institute of Technology (MIT) Beginner 14 weeks
Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization.
Massachusetts Institute of Technology (MIT) Beginner 6 weeks
In this course, you will learn what software engineers mean by "good" code -- safe from bugs, easy to understand, and ready for change. You will also learn ways to make your code better, including testing, specifications, code review, exceptions, immutability, abstract data types, and interfaces.
Massachusetts Institute of Technology (MIT) Intermediate 12 weeks
This business and management course introduces the primary methods and tools that you will encounter in your study and practice of supply chains. We focus on the application of these methods, not necessarily the theoretical underpinnings.
Massachusetts Institute of Technology (MIT) Beginner 15 weeks