Monte Carlo Method

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Simulation Models for Decision Making (Coursera)

This course is primarily aimed at third- and fourth-year undergraduate students or graduate students interested in learning simulation techniques to solve business problems. The course will introduce you to take everyday and complex business problems that have no one correct answer due to uncertainties that exist in business environments. [...]
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Introduction to PyMC3 for Bayesian Modeling and Inference (Coursera)

Oct 25th 2021
Introduction to PyMC3 for Bayesian Modeling and Inference (Coursera)
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The objective of this course is to introduce PyMC3 for Bayesian Modeling and Inference, The attendees will start off by learning the the basics of PyMC3 and learn how to perform scalable inference for a variety of problems. This will be the final course in a specialization of [...]
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Oct 25th 2021
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40.00 EUR/month

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 [...]
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Average: 4 ( 3 votes )

Bayesian Methods for Machine Learning (Coursera)

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like [...]
5
Average: 5 ( 3 votes )

Business Analytics for Decision Making (Coursera)

In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that [...]
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Average: 8 ( 3 votes )

Introduction to Spreadsheets and Models (Coursera)

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. [...]
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Introduction to Computational Thinking and Data Science (edX)

Oct 13th 2021
Introduction to Computational Thinking and Data Science (edX)
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This course is an introduction to using computation to understand real-world phenomena. This course will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving. This course is aimed at students [...]
9
Average: 9 ( 4 votes )

Bayesian Statistics: Techniques and Models (Coursera)

This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course [...]
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Aléatoire : une introduction aux probabilités - Partie 2 (Coursera)

Oct 11th 2021
Aléatoire : une introduction aux probabilités - Partie 2 (Coursera)
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Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard. Le cours introduit graduellement la notion de variable aléatoire et culmine avec la loi des grands nombres et le théorème de la limite centrale. [...]
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Excel/VBA for Creative Problem Solving, Part 3 (Projects) (Coursera)

In this course, learners will complete several VBA projects. This is a project-based course. Therefore, the projects are quite open-ended and there are multiple ways to solve the problems. Through the use of Peer Review, other learners will grade learners' projects based on a grading rubric.
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