Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
Streamline a data analysis process
The material for a course on Statistics for ecologists I teach every year to Master students.
R Code Examples for Data Analytics
Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
Geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods
Introductory Statistics for Economists (Undergraduate Intro Course)
Introduction to Statistics: an integrated textbook and workbook using R
Introduction to Statistical Learning
Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
A course on implementing a Bayesian workflow using Stan.
Course notes from several math and computer science courses from CUNY Queens College.
Notebooks from an introductory course in statistics using R.
Sample course materials that can be used with Design and Analysis of Experiments and Observational Studies using R
Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
Probability and statistics class at ENESj
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