Bayesian Statistics

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Classification Analysis (Coursera) Coursera
University of Colorado Boulder

Classification Analysis (Coursera)

Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.

Jul 20th 2026
5-12 Weeks
Bayesian Statistics: From Concept to Data Analysis (Coursera) Coursera
University of California, Santa Cruz

Bayesian Statistics: From Concept to Data Analysis (Coursera)

Dive into the world of Bayesian Statistics with our introductory course. Starting from fundamental probability concepts, we guide you through understanding the Bayesian approach and its practical application in data analysis. Compare it to the traditional Frequentist method and uncover the unique benefits of Bayesian statistics.

Jun 22nd 2026
4 Weeks
Introduction to Bayesian Data Analysis (openHPI) OpenHPI
Hasso-Plattner-Institut

Introduction to Bayesian Data Analysis (openHPI)

Embark on a journey into the world of Bayesian data analysis with our free course designed for those familiar with R programming language. This course will guide you through basic concepts such as random variables, probability distributions, and Bayes' theorem, applying these principles to simple data analysis problems. You'll delve into regression modeling using the brms package and gain a brief introduction to hierarchical models. Ideal for anyone who has previously engaged in frequentist data analysis.

Jan 25th 2023
5-12 Weeks
Sensor Fusion and Non-linear Filtering for Automotive Systems (edX) EdX
Chalmers University of Technology,ChalmersX

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

Discover the core principles of sensor fusion and non-linear filtering as applied to advanced automotive technologies. This course provides a comprehensive introduction to algorithms crucial for estimating parameters using multiple sensors, enhancing vehicle safety and performance.

Self Paced
Self-Paced
Applied Bayesian for Analytics (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Applied Bayesian for Analytics (edX)

Dive into the world of Bayesian Statistics with our Applied Bayesian for Analytics course. This comprehensive program will guide you through constructing, fitting, estimating, and computing Bayesian statistical models using OpenBUGS, a freely available software. Whether you're a budding data scientist or looking to expand your analytical toolkit, this course offers an in-depth exploration of key concepts such as parametrizations, priors, likelihoods, Monte Carlo methods, and multilevel modeling.

Self Paced
Self-Paced
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