# Gabors Data Analysis

> Companion website for the textbook "Data Analysis for Business, Economics, and Policy" by Gábor Békés and Gábor Kézdi (Cambridge University Press, 2021). A complete data analysis curriculum — data wrangling, regression, prediction with machine learning, and causal analysis — taught through 47 case studies using real-world data, with full openly available code in R, Python, and Stata and all datasets on OSF.

Key facts:
- 24 chapters in four parts: Data Exploration (ch 1–6), Regression Analysis (ch 7–12), Prediction (ch 13–18), Causal Analysis (ch 19–24)
- 47 case studies, 360+ practice questions, 120 data exercises
- Adopted in 200+ university courses in 40 countries (undergraduate and Master's level)
- All data and code are free and open; the book itself is a commercial publication

## The book

- [Why this book](https://gabors-data-analysis.com/whythisbook/): scope, philosophy, and intended audiences
- [Intro video](https://gabors-data-analysis.com/videos/da-intro.mp4): 100-second overview of the book and its open ecosystem
- [Slides](https://gabors-data-analysis.com/slides/): free lecture slides (PDF) for all 24 chapters, one click per chapter
- [Chapters](https://gabors-data-analysis.com/chapters/): chapter summaries, outlines, and case study links
- [Endorsements](https://gabors-data-analysis.com/endorsements): reviews by David Card, Joshua Angrist, and others
- [Errata](https://gabors-data-analysis.com/errata/): known errors and corrections
- [Order options](https://gabors-data-analysis.com/order): where to buy; examination copies for instructors
- [About the authors](https://gabors-data-analysis.com/authors/)

## Case studies and data

- [All case studies](https://gabors-data-analysis.com/casestudies/): descriptions of all 47 case studies with links to chapter, slides, code, and data
- [Dataset summaries](https://gabors-data-analysis.com/datasets/): content, key variables, sources, and licenses of the datasets
- [Data and code hub](https://gabors-data-analysis.com/data-and-code/): how to get everything
- [Data on OSF](https://osf.io/7epdj/): raw and clean versions of all datasets
- [Code on GitHub](https://github.com/gabors-data-analysis/da_case_studies): full reproduction code for every case study in R, Python, and Stata

## For instructors

- [Instructor hub](https://gabors-data-analysis.com/instructors/): slides, solutions, adoption examples
- [Teaching guide](https://gabors-data-analysis.com/teaching-guide/): course design for undergraduate, graduate, and PhD programmes
- [Instructor FAQ](https://gabors-data-analysis.com/instructor-faq/)
- [Courses using the book](https://gabors-data-analysis.com/courses-using/)

## For students

- [Student hub](https://gabors-data-analysis.com/students/): quick links, setup, practice
- [Getting started](https://gabors-data-analysis.com/getting-started)
- [Coding courses](https://gabors-data-analysis.com/code-courses/): free open courses for R, Python, and Stata from zero
- [Interactive dashboards](https://dashboards.gabors-data-analysis.com/): eight browser-based teaching dashboards (distributions, regression, causal inference, the hotels case study, and more)
- Setup: run in the cloud with [GitHub Codespaces](https://github.com/gabors-data-analysis/da_case_studies/blob/master/ch00-tech-prep/da-setup-codespaces.md) (no install; best for starters), or set up locally — [R (renv)](https://gabors-data-analysis.com/howto-r/), [Python (uv)](https://gabors-data-analysis.com/howto-python/), [Stata](https://gabors-data-analysis.com/howto-stata/)

## Data analysis with AI

- [Full AI course material](https://gabors-data-analysis.com/ai-course/): "Doing Data Analysis with AI" course by Gábor Békés

## Open-source ecosystem

- [Ecosystem overview](https://gabors-data-analysis.com/ecosystem/): all open projects around the textbook
- [GitHub organization](https://github.com/gabors-data-analysis): case study code, coding courses (R, Python, Stata), simulations
- [Interactive dashboards](https://dashboards.gabors-data-analysis.com/): eight teaching dashboards, e.g. the [hotels-europe case study](https://dashboards.gabors-data-analysis.com/app/hotels) and [multiple linear regression](https://dashboards.gabors-data-analysis.com/app/ch10_multireg)

## Optional

- [Site source on GitHub](https://github.com/gabors-data-analysis/gabors-data-analysis.github.io): all pages are Jekyll Markdown files in `_pages/`
- [Sitemap](https://gabors-data-analysis.com/sitemap.xml)
- [Blog posts](https://gabors-data-analysis.com/blog/): short notes on sampling, OLS notation, visualization, and more