Available courses

Aim of Course:

This course extends the Bayesian modeling framework to cover hierarchical models, and to add flexibility to standard Bayesian modeling problems.

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This course covers the basic statistical principles in the design and analysis of randomized controlled trials.

Aim of Course:

After successfully completing this course, you will understand the role that MLE plays in statistical models, and be able to assess both the advantages and disadvantages of using a maximum likelihood estimate in a particular situation.

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This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.

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To provide an easy introduction to ANOVA and multiple linear regression through a series of practical applications.

Aim of Course:

This online course covers three important modeling techniques. Students will learn how to (1) construct and implement simulations to model the uncertainty in decision input variables (e.g. price, demand, etc.) and supplement the overall estimate of interest by a risk interval of possible other outcomes using risk simulation; (2) model the variability in arrivals over time (customers, cars at a toll plaza, data packets, etc.) and ensuing queues, using queuing theory; (3) how to employ decision trees to incorporate information derived from models to actually make optimal decisions.

Aim of Course:

This course will show you how to use R to create statistical models and use them to analyze data.

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The aim of this course is to teach R Programming to those with little or no programming knowledge or experience.

Aim of Course:

In this course you will work through a customer analytics project from beginning to end, using R. You will start by gaining an understanding of the problem and the context, and continue to clean, prepare and explore the relevant data. You’ll work on feature engineering, handling dates, summarization, and how to work with the customer lifecycle concept in data analysis. The course culminates with a report that you will write, and a recommendation that you will prepare for a hypothetical company.

Aim of Course:

This course will show you how to use R to create statistical models and use them to analyze data.