Catalogue of resources (R/Python/SQL/SAS/Stata/...) to reproduce the results of Eurostat Statistics Explained articles

🎩 Project Template

A curated list of free courses from reputable universities that meet the requirements of an undergraduate curriculum in Data Science, excluding general education. With projects, supporting materials in an organized structure.

Data science for psychologists (ds4psy): R package supporting book and course

The Access the Data project was created to address the growing gaps between new technology development and decisions impacting our communities with the underlying systems and data that drive those initiatives

A thought-provoking article exploring how to think like a data scientist, without writing a single line of code. Covers the mental framework behind curiosity, structured reasoning, hypothesis testing, and data-driven storytelling, helping readers build analytical intuition beyond tools or syntax.

The Python Digital Toolbox contains examples of how to solve various data analysis problems using Python libraries. 📊 😎

Application for https://www.r-consortium.org/projects/call-for-proposals

This repository is for completed projects and code snippets from Codecademy Data Scientist: Analytics Specialist Career Path: https://www.codecademy.com/learn/paths/data-analyst

Demo repository for Digital Causality Lab

Un manifiesto para cuestionar el uso automático de los datos. Pensamiento analítico para perfiles técnicos.

An open course growing data literacy through examination of social justice issues

Moodle Learning Analytics

Shiny app illustrating the cholesterol example for the Simpson's paradox in Glymour et al. (2016, Section 1.2)

Data treaders event GitBook repository. Information about the event, timetables, and data sources.

Lectures that are part of an undergraduate course held at University of Münster, School of Business and Economics (summer term 2024) 🎓

In this section we will cover the topics such as; how to handle and process the data, how to read it, how to visualize the data, what can we deduct from a dataset after the processes that we made and at the end we apply EDA(Exploration Data Analysis) on a valid dataset.

Data Analysis and Visualization in Python for Ecologists

Work done by Alex, Jason, Marta, Pat, Peter and Tracey on practicum[0]. Problem was from DND around how to measure the impact of training.