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Selected Topics on Discrete Choice (edX)

Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction to Discrete Choice Models”. We have selected some important advanced topics, that are presented in [...]
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Exploration et production de données pour les entreprises (Coursera)

Ce cours fournit un cadre analytique afin de vous aider à évaluer les problèmes clés de manière structurée. Il vous procurera également des outils afin de mieux gérer les incertitudes qui envahissent et compliquent les processus des entreprises. Plus précisément, vous serez initié(e) aux statistiques et à la manière [...]
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Managing, Describing, and Analyzing Data (Coursera)

In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used [...]
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Copyright Law in the Music Business (Coursera)

Oct 18th 2021
Copyright Law in the Music Business (Coursera)
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In this course taught by E. Michael Harrington, students will learn the basis for copyright including what is and is not covered by copyright law. This course will help clarify what rights artists have as creators as well as what the public is free to take from their work. [...]
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Digital Signal Processing 3: Analog vs Digital (Coursera)

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the [...]
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Probabilistic Graphical Models 2: Inference (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine [...]
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Exploring and Producing Data for Business Decision Making (Coursera)

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of [...]
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Quantitative Methods (Coursera)

Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable [...]
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Average: 2 ( 4 votes )

Auditing II: The Practice of Auditing (Coursera)

This course provides a continuation of the intensive conceptual and applied introduction to auditing in society begun in Auditing I: Conceptual Foundations of Auditing. It focuses on a conceptual framework that is applied by audit professionals to assess, evaluate, and manage audit risks and [...]
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Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You [...]
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