Sampling Methods

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Introduction to Probability and Data with R (Coursera) Coursera
Duke University

Introduction to Probability and Data with R (Coursera)

Discover the basics of probability and data analysis with our Introduction to Probability and Data with R course. Gain essential skills in exploring data, understanding different types of sampling methods, and applying Bayes' rule. Enhance your knowledge of numeric summary statistics and basic data visualization techniques using R programming language.

Jun 8th 2026
5-12 Weeks
Research Methodologies (Coursera) Coursera
Queen Mary University of London

Research Methodologies (Coursera)

Dive into the world of Research Methodologies with this in-depth online course offered by Coursera. Whether you're a student, researcher, or professional, this course will equip you with essential knowledge on qualitative and quantitative approaches, sampling techniques, and data collection methods. Start your journey to becoming a skilled researcher today!

Jun 8th 2026
4 Weeks
Probabilistic Graphical Models 2: Inference (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 2: Inference (Coursera)

Dive into the world of Probabilistic Graphical Models 2: Inference, an advanced online course designed for those who want to delve deeper into decoding complex joint probability distributions. This course will equip you with essential skills in statistical modeling and machine learning, using techniques that sit at the intersection of statistics and computer science.

May 25th 2026
5-12 Weeks
Successfully Evaluating Predictive Modelling (edX) EdX
University of Edinburgh,EdinburghX

Successfully Evaluating Predictive Modelling (edX)

Dive deep into the world of predictive modelling with this expert-led course. You'll learn essential techniques for evaluating and sampling predictive models, all while mastering the use of Python as a powerful tool in assessing model adequacy. Whether you're new to the field or looking to refine your skills, this course will provide you with a solid foundation in understanding performance evaluation metrics.

Oct 26th 2021
5-12 Weeks
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