Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea
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Updated
Aug 14, 2024 - Jupyter Notebook
Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea
Repositorio para el curso intersemestral "Temas Selectos en Estadística" para la Facultad de Psicología, UNAM.
Repositorio del Blog Personal Pigeon Stats
Class materials for Stat 892 (TA Prep/Writing for Learning) at University of Nebraska Lincoln
Complete introductory statistics textbook with an emphasis on the biological & environmental sciences. Includes 26 chapters introducing key concepts for a foundational understanding of statistics and 9 complementary chapters of exercises with jamovi. Supplemental shiny apps illustrate book concepts. All code and datasets are freely available.
This repo contains all two problem set solutions of Applied Regression Course.
Streamline a data analysis process
R Code Examples for Data Analytics
"A statisztika a matematika azon ága, melynek feladata, hogy eszközt adjon a politikusok kezébe, mellyel tetszőleges állítás és annak ellentéte is tudományos alapon igazolható"
Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/
tekstboek Kwantitatieve Methoden en Statistiek (Nederlandstalige versie, NL), beschikbaar via https://hugoquene.github.io/KMS-NL/
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)
Slides for introduction to statistics with R code to make application to other data easy.
Notes for Statistics UN1101, Columbia University
UBC STAT 447, Caden Hewlet
A full Biostatistics class including a textbook and assignments utilizing Python
Personal notes during reading Statistics with R by Jenine K. Harris, 1st ed. (2019)
Statistics and Data Analysis - Theory and Practical Applications
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