Economics

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Economics

Resources

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Data Hub

Name

Topic

URL

File

CIFAR-10 and CIFAR-100 datasets

Data

COVID-19 Data Hub

Data

DASL - Data and Story Library

Data

Data

Data

OpenStreetMap Data

OpenStreetMap Data

Data

Course

Name

Topic

URL

File

36-401, Modern Regression

36-401, Modern Regression

Empirics

36-720, Statistical Network Models

Empirics

36-781, Advanced Statistical Network Models

Empirics

Applied Empirical Methods

Empirics

Applied Machine Learning (Cornell CS5785)

AI

Big data in economics (EC 410/510)

Tools

Causal Inference

Empirics

Course Materials for Advanced Data Analytics in Economics

Course Materials for Advanced Data Analytics in Economics

Data

Data Science for Economists (EC 607)

Empirics

Demand Estimation Notes

Empirics

Demand_Estimation_Notes.pdf

Empirics

Empirics

Lecture Notes.pdf Slides.pdf

Econometrics: Methods and Applications | Coursera

Empirics

Empirical Bayes Methods, Theory and Application (SI 2022)

Empirics

Empirical Methods in Corporate Finance

Empirics

course_syllabus__website_version_.pdf

European Central Bank Machine Learning Training

Empirics

Git: A Guide for Economists

Tools

git-for-economists-presentation.pdf

Lecture Notes | Econometrics | MIT OpenCourseWare

Empirics

Lectures on Causality: Jonas Peters

Lectures on Causality: Jonas Peters

Empirics

mitTutorialJonas.pdf

Paulgp’s Applied Empirical Methods

Empirics

Peter Hull’s Applied Metrics Course

Empirics

Program Evaluation - Program Evaluation for Public Service

Some Linear Algebra for Econometrics

Math

Statistics 110: Probability - YouTube

Statistics

Yet Again: R + Data Science

Tools

Guide

Name

Topic

URL

File

Congressional Data in R

Data

Network Analysis and Visualization with R and igraph

Network Analysis and Visualization with R and igraph

Data

List

Name

Topic

URL

File

75 Sources of Economic Data, Statistics, Reports, and Commentary | Lillian Goldman Law Library

A Real Beginners Reading List To An Introduction To Statistics

Statistics

All books on bookdown.org

All books on bookdown.org

Appsilon R Shiny Demo Gallerys

Tools

Awesome DB Tools

Awesome DB Tools

Tools

Awesome Economics

Causal Inference Resources

Empirics

Christine Cai's Public Goods

Christine Cai's Public Goods

Christoph Kronenberg’s Resources

Curated Cheatsheets

Tools

DiD Resources - Jonathan Roth

Empirics

Econometrics lecture notes and books | Giuseppe Cavaliere

Evidently AI - ML system design: 200 case studies

Tools

GitHub - briatte/awesome-network-analysis: A curated list of awesome network analysis resources.

Empirics

Jesús Fernández-Villaverde | University of Pennsylvania

Machine Learning Projects

Machine Learning Projects

Statistics

Offensive AI Compilation

AI

Peter Hull - 'Metrics Notes

Tools

Rebecca Barter - A list of public data repositories

Data

Essay

Name

Topic

URL

File

Code and Data for the Social Sciences: A Practitioner's Guide

Data

Code and Data for the Social Sciences_A Practitioner's Guide.xhtml CodeAndData.pdf

News

Name

Topic

URL

File

Pearson Economic News

Theory

Wiki

Name

Topic

URL

File

Difference-in-Difference (DiD) | DiD

Empirics

Econometrics Academy

Empirics

Graham Mayor - Word Pages

Graham Mayor - Word Pages

Tools

LOST - Library of Statistical Techniques

Statistics

Tools

Python Cheatsheets

Python Cheatsheets

Tools

Article

Name

Topic

URL

File

5 Things to Know About Asset Allocation

50 Data Analysis Projects with Python

Tools

100 Data Science in Python Interview Questions and Answers for 2023

Tools

A fresh start for R in VSCode

Tools

A GUIDE FOR MAKING WEIGHTED MARKERS AND LAYERING IN STATA

Tools

A Senior Engineer's CheckList

A Senior Engineer's CheckList

Management

Bind together two data frames by their rows or columns in R

Tools

Building an economy simulator from scratch

Building an economy simulator from scratch

Empirics

Data Visualization Packages for R to Consider in 2023

Tools

Empirics

Amy Finkelstein IAP talk 07.ppt

Everything You Always Wanted to Know About ANOVA

Empirics

How to Find the Best Theoretical Distribution for Your Data

Empirics

How To Generate A List Of Sheet Names From A Workbook Without VBA

Tools

Introduction to Causal Inference

Empirics

Ontology? What's That? | SEEK blog

Ontology

Recommended Resources for Starting A/B Testing

Empirics

Unlocking the Power of purrr: How to Create Multiple Lags Like a Pro in R

Tools

Cheat Sheet

Name

Topic

URL

File

Cheat sheet Numpy Python

Tools

Data Structures

Data

Logistic Regression - Interpretation By Christoph Molnar

Statistics

Logistic_Regression_Cheat_Sheet.pdf

Pandas Cheat Sheet

Data

probabilitydistributiontoolbox/proba-basicfacts-and-inequalities.pdf at master · ccanonne/probabilitydistributiontoolbox · GitHub

Empirics

SQL Basics Cheat Sheet

Tools

Statistical Test Cheat Sheet

Statistics

Visual Vocabulary

Data

Other

Name

Topic

URL

File

[🔗 LINK] — 2347: Dependency - explain xkcd

Heski Bar-Isaac - EJ haikus

Heski Bar-Isaac - EJ haikus

Leibniz Mathematical School

Math

Open Science MOOC

Open Science MOOC

RegexOne - Learn Regular Expressions

RegexOne - Learn Regular Expressions

Data

RegularExpressions.info

RegularExpressions.info

Data

Tools

Online Textbook

Name

Topic

URL

File

No description

Name

Topic

URL

File

䷉Table: Biomedical and Clinical Datasets (mostly for NLP)

䷉Table: Biomedical and Clinical Datasets (mostly for NLP)

Data

6.824 Schedule: Spring 2020

A User’s Guide to Statistical Inference and Regression

Advanced Time Series and Forecasting at the University of Crete Summer 2012

Agentic Design Patterns

An Undergraduate Course in Causality

Antitrust Eras.pdf

Approved Textbooks | Open Textbook Initiative

AudioSep - a Hugging Face Space by Audio-AGI

Best Python Chart Examples

Causal Inference -- Online Lectures (M.Sc/PhD Level) - YouTube

Chapters Overview - Gabors Data Analysis

chart-doctor/visual-vocabulary at main · Financial-Times/chart-doctor

Common statistical tests are linear models (or: how to teach stats)

Common statistical tests are linear models (or: how to teach stats)

Empirics

Correlation vs. Regression: A Key Difference That Many Analysts Miss | by John V. Kane | The Stata Gallery | Apr, 2024 | Medium

Data Analysis for Social Scientists

Data Cleaning for Data Sharing Using R - Materials

Data Formats: 3D, Audio, Image

DataExpert-io/data-engineer-handbook github - Kifinity

DataExpert-io/data-engineer-handbook: This is a repo with links to everything you'd ever want to learn about data engineering

davidteather/everything-web-scraping: Learn everything web scraping with David Teather Codes on YouTube

Demetri Pananos Ph.D - You Just Said Something Wrong About Logistic Regression

DiD Reading Group - YouTube

Difference-in-Differences

Data

ECO3532016934125.pdf

ECON 30331: Econometrics (Undergraduate) | William Evans

Theory

Econometrics for Business Analytics

Econometrics II (Graduate) | William Evans

Economics for Everyone – A modern, math-free economics syllabus from the University of Chicago

EE 120 Spring 2024 | Signals and Systems at UC Berkeley

FAANG Interview – System Design | Backprop

Forecasting: Principles and Practice (3rd ed)

Free Data Sets & Dataset Samples | Maven Analytics

From data to Viz | Find the graphic you need

Fundamentals of Economics

Getting Started - Antitrust Law Research Guide - LibGuides at Loyola University Chicago Law Library

GitHub - borusyak/are213: PhD Applied Econometrics class taught at UC Berkeley

GitHub - ByteByteGoHq/system-design-101: Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Data

GitHub - ByteByteGoHq/system-design-101: Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

GitHub - cxli233/FriendsDontLetFriends: Friends don't let friends make certain types of data visualization - What are they and why are they bad.

GitHub - dabeaz-course/python-mastery: Advanced Python Mastery (course by @dabeaz)

GitHub - DataExpert-io/data-engineer-handbook: This is a repo with links to everything you'd ever want to learn about data engineering

GitHub - harvard-edge/cs249r_book: Introduction to Machine Learning Systems

GitHub - JedStephens/Handbook-of-Small-Data-Sets: These are the data sets from the Handbook of Small Data Sets, Hand et al, 1994

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