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Problem solving
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English
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Resource Type
MOOC
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MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC
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MOOC
Whether you are a university student trying to make sense of a difficult major course project or struggling to add value during your internship placement; or you are practicing manager struggling to find a resolution to a complex problem, issue or challenge, this course will guide you through a framework designed to help you open up the alternatives. Through this structured framework designed to help you better deal with your unstructured problems, you will learn BETTER, learn FASTER and learn MORE than you are used to. In essence, this short course will help you “HOW” to learn to (un)learn during knowledge transfer.
- Subjects:
- Management
- Keywords:
- Problem solving Dice games
- Resource Type:
- MOOC