Streamline a data analysis process

Slides for introduction to statistics with R code to make application to other data easy.

This repository contains a companion guide to Harvey Motulsky's Intuitive Biostatistics, 4th edition. The guide is designed to enhance understanding of the concepts explained in the book by providing practical examples and additional studies in a Jupyter-book format. (work in progress)

Notes for Statistics UN1101, Columbia University

UBC STAT 443, Caden Hewlett

UBC STAT 447, Caden Hewlet

A full Biostatistics class including a textbook and assignments utilizing Python

Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea

Personal notes during reading Statistics with R by Jenine K. Harris, 1st ed. (2019)

EE 3070 Statistics 2023 Course Materials

Statistics and Data Analysis - Theory and Practical Applications

Spatial Statistics with R course materials

Materials for HSE Fintech course "Statistics of Random Processes" taught during 2018.

Materials for HSE ML course "Statistics of Random Processes" taught during 2018.

Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.

Python Notebook for teaching Statistics to bachelor students.

Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/

Statistical Modelling in a nutshell: Introductory Course based on Linear Regression using R

Statistics course completed on DataCamp

Material for MAP566 - Statistics in Action with R at l'X