Data Collection

Web Scraping

Scrape Dynamic Websites ^{4 mins} Extract Data Using the YouTube API ^{5 mins} Web Scraping and API Mining ^{4 mins} Monitor and Safeguard Your Data Quality ^{4 mins} Safeguard Legal Compliance When Scraping ^{6 mins} Avoid Getting Blocked While Scraping ^{2 mins} Scrape Static Websites ^{5 mins} Calculate Sample Sizes for Web Scrapers ^{2 mins} Assess what Data is Available ^{5 mins}

API's

Read & Write Data From APIs ^{2 mins} Extract Data From APIs ^{5 mins}

Surveys

Creating Qualtrics Surveys and Exporting Data to R and Python ^{6 mins}

Data Storage

Databases

Online Data Collection and Management ^{1 mins} Online Data Sources for Economists ^{2 mins} From CSV to SQL Databases: Matching Data Solutions to Your Needs ^{4 mins} SQLite in R for Research Data Storage ^{3 mins}

Commercial Cloud

Handle storage within your Google Cloud instance ^{5 mins} Download Data Programmatically ^{8 mins} Use AWS S3 Buckets ^{5 mins}

Surf Research Cloud

Set up SURF Research Drive and Rclone to Store Data ^{3 mins}

Long Term Archiving

Choose a Data Repository for Long-Term Storage ^{5 mins}

Templates and Dynamic Documents

Templates

Cheatsheet for LaTeX Math Commands ^{10 mins} Get Started With Our Bookdown Thesis Template ^{2 mins} LyX for Professional Research Papers and Presentations ^{2 mins} Get Started With Our LaTeX Thesis Template ^{1 mins}

Dynamic Reports

Automate Converting Regression Results to LaTeX Equations in Rmarkdown ^{5 mins} Citation Management within Rmarkdown ^{6 mins} Cross-Referencing within Rmarkdown ^{6 mins} Handling Figures in Rmarkdown ^{6 mins}

Organizing your Research

Note Taking

Note Taking Systems in Academia ^{12 mins}

Writing an academic paper

Data and Coding Related

Coding, Workflow, and Data Management in a Research Project/Thesis ^{5 mins}

Literature Review

Searching for Literature on the Web ^{3 mins}

Citations and References

Build and Maintain a Reference List ^{6 mins} Cite Efficiently in Your Academic Paper ^{5 mins}

Writing Process

Prepare for your Master Thesis ^{8 mins} Chapter Structure of a Thesis or Academic Paper ^{13 mins} Master Thesis Resource Bundle ^{1 mins} Mastering Academic Writing ^{6 mins}

Software Installation

Perl

Set up Perl ^{2 mins}

MATLAB

Set up Julia ^{1 mins} Set up MATLAB ^{1 mins}

R & RStudio

Set up R and RStudio ^{6 mins} R Coding Style Guidelines ^{5 mins} Get Started With R ^{5 mins}

Document Creation

Set up LaTeX ^{3 mins} Set up Pandoc ^{3 mins} Set up Sublime Text ^{3 mins} Set up Quarto ^{2 mins} Set up TeXmacs ^{2 mins}

IDE's

Software Setup Overview ^{2 mins} Comparing Text Editors ^{6 mins} Other Programming Languages ^{1 mins} Set up Visual Studio Code ^{4 mins}

Stata

Install Stata Packages ^{2 mins} Set up Stata ^{3 mins} Stata Coding Style Guidelines ^{5 mins} Getting started with Stata ^{2 mins}

Python

Python Coding Style Guidelines ^{5 mins} Set up Python ^{4 mins} Install Python Packages ^{2 mins} Configure Python Virtual Environments ^{5 mins} Introduction to Coding With Python ^{12 mins} Configuring Python for Web Scraping ^{5 mins}

Developing Coding Skills

Coding Practices

Parallel Computing in R ^{7 mins} Principles for Good Coding ^{3 mins}

Bash

Making Path Settings Permanent ^{3 mins} Set up Command Line Tools ^{4 mins} Learn Bash Commands ^{5 mins} Bring AI to your command line/terminal ^{7 mins}

Share your Work

Shoot Educational Videos

Shoot Educational Videos ^{1 mins} Shoot Educational Videos ^{13 mins} Shoot Educational Videos ^{21 mins}

Create Your Own Website in 15 Minutes

Create Your Own Website in 15 Minutes ^{3 mins} Create Your Own Website in 15 Minutes ^{2 mins} Create Your Own Website in 15 Minutes ^{3 mins} Create Your Own Website in 15 Minutes ^{3 mins} Create Your Own Website in 15 Minutes ^{3 mins}

Content Creation for Research

Document New Data ^{11 mins} Pandoc: An Easy Document Converter ^{8 mins} Create Your First Interactive Document With Quarto ^{9 mins} Build and Publish a Website With Quarto ^{6 mins} README Best Practices ^{5 mins} Automating Dynamic Reports With Quarto ^{6 mins} Publish Ebooks and Interactive Articles Directly From R ^{2 mins}

Project Management and Team Sciences

Project Management on GitHub

Safely Store Your Credentials By Configuring Environment Variables ^{4 mins} Use Software Environments to Ensure Replicability ^{7 mins} Use Overleaf to Collaborate on Research Papers ^{2 mins} Document and Share your Data using GitHub ^{5 mins} Set up TeamViewer ^{2 mins} Share Large Temporary Files ^{4 mins}

Engage in open source projects

Contribute to Open Source Projects ^{5 mins}

Big Team Science

How to Prepare for (and Follow-up On) Scrum Meetings ^{2 mins} Professionalize your Team Work Using Scrum ^{6 mins} Bring Open Science Practices to your Research Group ^{1 mins} Linux file permissions ^{4 mins}

Contribute to Tilburg Science Hub

Contribute using Pull Requests ^{6 mins} Code of Conduct ^{2 mins} Adding Pages to Home Page Cards ^{2 mins} Your Building Block Title (50-70 characters + most important keyword must be in the title atleast once) ^{3 mins} Add yourself as a Contributor ^{3 mins} Style and Writing Guide ^{15 mins} Your building block title (50-70 characters + most important keyword must be in the title atleast once) ^{2 mins} Ways of contributing to Tilburg Science Hub ^{3 mins}

Workflows

Principles of Project Setup and Workflow Management

Starting a New Project

Starting Up a New Empirical Research Project ^{6 mins} Learn About the Various Ways to Setup a Research Infrastructure ^{6 mins}

Auditing Existing Projects

Use this Checklist to Improve Your Project's Structure and Efficiency ^{4 mins}

Automation Tools

Practicing Pipeline Automation using Make

Practicing Pipeline Automation using Make ^{2 mins} Practicing Pipeline Automation using Make ^{1 mins} Practicing Pipeline Automation using Make ^{1 mins} Practicing Pipeline Automation using Make ^{3 mins} Practicing Pipeline Automation using Make ^{2 mins} Practicing Pipeline Automation using Make ^{1 mins} Practicing Pipeline Automation using Make ^{4 mins} Practicing Pipeline Automation using Make ^{1 mins} Practicing Pipeline Automation using Make ^{2 mins}

Task Automation

Schedule Recurring Tasks (e.g., by day, hour) ^{6 mins} Error Handling in Stata Workflows Using R ^{4 mins}

Make and Makefiles

Set up Make ^{4 mins} Set up Snakemake ^{2 mins} Use Makefiles to Manage, Automate, and Reproduce Projects ^{5 mins} Debugging Makefiles With Remake ^{7 mins}

Deployment

Implement a GitHub Actions workflow for code formatting and testing ^{7 mins} Configure a Self-hosted runner for GitHub Actions workflows ^{10 mins} Enhance Reproducibility and Automation with GitHub Actions ^{6 mins}

Inside AirBnB - Workflow Walkthrough

Overview ^{1 mins} Exporting the Data ^{1 mins} Automating Workflows ^{2 mins} Conclusion ^{2 mins} Loading the Data ^{4 mins} Transforming the Data ^{3 mins}

Version Control and Repository Management

Advanced Git

Exclude Files from Versioning ^{2 mins} Best Practices for Naming Git Branches ^{3 mins} Remove Sensitive or Large Files From Your Repository ^{2 mins} Working with Large Files on GitHub ^{5 mins} Git Branching Strategies ^{9 mins} Best Practices for Git Commits ^{2 mins} Restoring Timestamps in Git Repositories ^{3 mins} Getting started with Tilburg's GitLab ^{7 mins}

Getting Started with Git and Github

Get Started With Using Git and GitHub ^{11 mins} Manage Your Projects Using the GitHub Project Board ^{2 mins} The Most Important Git Commands You Should Know ^{4 mins} The GitHub Workflow ^{8 mins} Best Practices for GitHub Issues Management ^{11 mins} Set up Git and GitHub ^{4 mins}

Repository Lifecycle

Export Repositories With GitHub Releases ^{2 mins} Archiving Repositories When They Are Done ^{2 mins} Make Your GitHub Repository Citable using DOIs ^{1 mins}

Using Artificial Intelligence

Enhance your Research Using ChatGPT Models

Use ChatGPT for your research! ^{5 mins} GitHub Copilot in RStudio and VS Code ^{16 mins}

Transcription and Command Line Tools

Making transcriptions using OpenAI's Whisper ^{4 mins}

Replicability and Environment Management

Cloud Computing

Configure a VM with GPUs in Google Cloud ^{9 mins} Combine GitHub and Google Colab for Collaborative Development ^{7 mins} Getting Started with Research Cloud ^{4 mins} Setting Up a New Workspace, Configuring Git and Adding Research Drive on Research Cloud ^{4 mins} Cloud Computing with SURFsara's LISA Cluster ^{3 mins} Monitor and solve memory constraints in your computational environment ^{6 mins} Set up the AWS Client ^{1 mins} Run RStudio on AWS using Docker ^{6 mins} Use Google Colab to Run Python in the Cloud ^{3 mins} HPC TiU for Cloud Computing ^{3 mins} Cloud Computing with SURFsara's Cartesius Cluster ^{2 mins}

Docker

Export a Python Environment with Docker and Share It Through Docker Hub ^{13 mins} Import and run a project environment with Docker on Google Cloud ^{13 mins} Set up Docker ^{6 mins}

Package Management

Manage your R Packages with Packrat ^{6 mins} How to Automatically Install R Packages Used in a Project ^{3 mins} Package Management for R: renv ^{5 mins}

Machine Learning and Predictive Modeling

Supervised Machine Learning

Introduction to Random Forests in Python ^{11 mins} Loss Functions and Cost functions in Machine Learning ^{9 mins} Extreme Gradient Boosting with XGBoost in Python ^{5 mins} Optimization in Machine Learning ^{7 mins} Extreme gradient boosting with XGBoost in R ^{15 mins} Support Vector Machines in Python ^{11 mins} Detecting Overfitting with K-Fold Cross-Validation ^{6 mins} Linear Regression for Prediction in Python ^{8 mins} Mitigating Overfitting in Decision Trees ^{11 mins} Classification for Prediction in Python ^{8 mins}

Machine Learning 101

In-depth Introduction to Supervised Machine Learning ^{13 mins} In-depth Introduction to Unsupervised Machine Learning ^{17 mins} In-depth Introduction to Machine Learning and R ^{1 mins} Get Introduced to Machine Learning ^{7 mins} Introduction to Deep Learning ^{11 mins}

Causal Inference

Introduction

Introduction to Causal Inference ^{5 mins}

Synthetic Control

Synthetic Control for Impact Evaluation ^{5 mins} Synthetic Control Method without Exogenous Variables ^{11 mins} Introduction to Synthetic Control Methods ^{11 mins}

Matching

An Introduction to (Exact) Matching ^{10 mins} Propensity Score Matching: A Method for Approximate Matching ^{9 mins}

Instrumental Variables

Intro to IV Estimation ^{7 mins} The Shift-Share Instrumental Variable ^{7 mins}

Panel Data

The Pooled OLS Model ^{3 mins} The Random Effects Model ^{8 mins} Fixed-Effects Estimation in R With the `fixest` Package ^{9 mins} An Introduction to Panel Data ^{13 mins} Event Studies for Causal Inference ^{10 mins} The Between Estimator ^{2 mins} The Fixed Effects Model (Within Estimator) ^{6 mins} Dynamic Panel Data Estimation with System-GMM ^{9 mins} The First-Difference Estimator ^{4 mins}

Regression Discontinuity Designs (RDD)

Fuzzy RD Designs ^{8 mins} Sharp RD Designs ^{7 mins} Regression Discontinuity Plots ^{9 mins} Fuzzy RDD in Practice ^{4 mins} Local Randomization Approach ^{10 mins} Continuity-Based Approach ^{6 mins} RDD with Discrete Running Variables ^{13 mins} Regression Discontinuity in Time (RDiT) ^{15 mins} Validation and Falsification Analysis for RDD ^{11 mins}

Difference in Difference

An Introduction to Difference-in-Difference Analysis ^{8 mins} Testing for Pre-trends in DiD and Event Studies ^{14 mins} Difference-in-Difference as a Regression ^{9 mins} Handling Parallel Trends Violations with `HonestDiD` in R ^{10 mins} Impact evaluation: RD vs DID ^{6 mins} Staggered Difference-in-Difference Estimation ^{10 mins}

Tests

Testing OLS Assumptions

Statistical Power ^{11 mins} Evaluate Model Assumptions of an OLS Regression in R ^{3 mins} Testing and Correcting for Heteroskedasticity ^{16 mins} Testing for Serial Correlation ^{9 mins}

Non-parametric Tests

Wilcoxon test ^{8 mins} Chi-Squared Test ^{5 mins} Understanding the binomial test ^{8 mins}

Regression Analysis

Linear Regression

Interpreting Regression Models in R ^{12 mins} Fixed Effects Regression Assumptions ^{5 mins} Survival Analysis in R ^{12 mins} Understanding Linear Regression Summary Output in R ^{10 mins} Run a Regression Analysis ^{4 mins} Compute Marginal Effects ^{7 mins} Mediation Analysis Tutorial in R ^{15 mins} Interaction Terms ^{17 mins} Doing Calculations with Regression Coefficients Using deltaMethod ^{4 mins} Easy Standard Error Adjustment with `estimatr` ^{5 mins}

Reporting

Evaluate Model Assumptions ^{3 mins}

Loading and Importing Data

Getting Started

Data Preparation and Workflow Management ^{1 mins} SPSS Data in R ^{11 mins}

Import Large Datasets

Practical Example with Dask ^{7 mins} Handle Large Datasets In Python ^{5 mins} Import Large Datasets Into R ^{10 mins}

Manipulating and Cleaning Data

Textual Data

Text Pre-processing in Python ^{11 mins} Learn Regular Expressions ^{12 mins} Text Pre-processing in R ^{9 mins}

Numerical Data

Pandas for Data Manipulation in Python ^{16 mins} Clean Numeric Data Scraped From Social Media ^{1 mins}

Reporting Tables

Converting Pandas DataFrames to LaTeX and Markdown Tables ^{4 mins} Create a publication-ready LaTeX regression table with `kableExtra` in R ^{14 mins} Stargazer: Exporting Publication-Ready Tables in R ^{2 mins} Make Tables and Figures Reproducible with Autofilling Values ^{2 mins} tableFill for Reproducible Tables ^{4 mins}

Data Visualization

Regression Results

Generate a coefficient plot in R with the `modelplot` function ^{8 mins} Forest Plot Generation in R ^{6 mins} Generate regression tables in R with the `modelsummary` package ^{39 mins}

R-Shiny

How to create a Shiny Dashboard using Shinydashboard: A User Interface Guide ^{13 mins} Shiny Fundamentals: Introduction to Shiny Modules ^{8 mins} Shiny Fundamentals: Introduction and Building Your First Shiny App ^{12 mins} How to: Integrate Plotly within Shiny for Data Storytelling ^{11 mins} Shiny Fundamentals: The User Interface ^{12 mins} How to: Create the 'perfect' plot with R Shiny ^{13 mins} Shiny Fundamentals: Reactive Programming ^{10 mins} Advanced Customization: The bslib and thematic packages ^{10 mins} How to: Build a Data Exploration App in Shiny ^{11 mins} Build Interactive Dashboards with R Shiny ^{7 mins}

Graphs and Charts

Stata Graphs Made Easy ^{3 mins} Visualizing data with Plotnine and Altair ^{4 mins} Dynamic Data Storytelling with Plotly ^{14 mins} Data Visualization Best Practices ^{11 mins} Combining Statistical Testing and Visualization, directly in R using ggpubr and rstatix ^{9 mins} Grammar of Graphics of ggplot2 ^{12 mins} Plot Saving in R: Techniques and Best Practices ^{9 mins} Visualizing Time Series Data with ggplot2 ^{14 mins} Styling Bar Charts in ggplot2 ^{12 mins} Plotting with Matplotlib and Seaborn in Python ^{7 mins}

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Topics

Collect & Store