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Managing Uncertainty in Marketing Analytics (Coursera)

Marketers must make the best decisions based on the information presented to them. Rarely will they have all the information necessary to predict what consumers will do with complete certainty. By incorporating uncertainty into the decisions that they make, they can anticipate a wide range of possible outcomes and [...]

Principles of Computing (Part 1) (Coursera)

This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. [...]

Model Thinking (Coursera)

We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with [...]

Statistics for Machine Learning for Investment Professionals (Coursera)

Feb 5th 2024
Statistics for Machine Learning for Investment Professionals (Coursera)
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One of the biggest changes in the past decade is the rapid adoption of machine learning, AI, and big data in investment decision making. This course introduces learners with knowledge of the investment industry to foundational statistical concepts underpinning machine learning as well as advanced AI techniques. This course [...]

Introduction to Probability (edX)

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering, economics, and finance. [...]

Forecasting Techniques for Slow and Rapidly Changing Demand (edX)

Master quantitative, judgmental and causal models used to forecast seasonal, intermittent, and new product future demand. Choose the right forecasting method for all kinds of demand patterns and sales data. Learn how to deal with randomness and low forecastability; missing data, outliers, and overfitting. Separate forecasting myths from reality [...]