Bayesian Statistics

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Fitting Statistical Models to Data with Python (Coursera)

In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our [...]
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Bayesian Statistics: From Concept to Data Analysis (Coursera)

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach [...]
4
Average: 4 ( 3 votes )

Sensor Fusion and Non-linear Filtering for Automotive Systems (edX)

Sep 15th 2021
Sensor Fusion and Non-linear Filtering for Automotive Systems (edX)
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Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems. In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different [...]
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Introduction to Bayesian Statistics (Coursera)

Sep 13th 2021
Introduction to Bayesian Statistics (Coursera)
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The objective of this course is to introduce Computational Statistics to aspiring or new data scientists. The attendees will start off by learning the basics of probability, Bayesian modeling and inference. This will be the first course in a specialization of three courses .Python and Jupyter notebooks will be [...]
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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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Improving your statistical inferences (Coursera)

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how [...]
6
Average: 6 ( 4 votes )

Bayesian Statistics (Coursera)

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. [...]
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Bayesian Statistics: Mixture Models (Coursera)

Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a [...]
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Data Science in the Games Industry (FutureLearn)

Learn how the games industry can use big data to enhance the gaming experience and increase profits. Use data analysis to build better gaming experiences. The video games industry collects vast amounts of data from its users. But most of this data is disregarded despite its value to the [...]
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Applied Bayesian for Analytics (edX)

Learn how to construct, fit, estimate and compute Bayesian statistical models with the help of OpenBUGS (freely available software). Bayesian Statistics is a captivating field and is used most prominently in data sciences. In this course we will learn about the foundation of Bayesian concepts, how it differs from [...]
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