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These will be key topics to cover in this week in addition to live panels made of learning analytics experts to share their experience with systematic adoption of learning analytics …
Sign in here using your email address and password, or use one of the providers listed below. MIT’s The Analytics Edge is an edX course focused on using statistical tools to gain insight about data and make predictions.
The majority of the course teaches analytic methods using the R programming language, but the final 2 weeks deal with solving optimization problems using spreadsheet software (LibreOffice or MS Excel). The adoption of learning analytics is often context-based and expectations tend to vary among different stakeholders. If you do not yet have an account, use the button below to register.
View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Students of this course learn how to use data and analytics by … In the last decade, the amount of data available to organizations has reached unprecedented levels. MITx 15.071x - The Analytics Edge.
This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies. This course is archived, which means you can review course content but it is no longer active.
Data is transforming business, social interactions, and the future of our society. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact. October 15, 2019 1 Welcome!