Get started with machine learning and R with more than 15 hours of videos at dataschool.io.
You will find 10 chapters ranging from linear regressions to unsupervised learning.
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Tutorials
Reproducible Research and Automation Practicing Pipeline Automation using Make Principles of Project Setup and Workflow Management Starting Up a New Empirical Research Project Document and Share your Data using GitHub Data Preparation and Workflow Management
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Building Blocks
Statistics and ComputationSet up TeXmacs Set up Visual Studio Code Set up Sublime Text Install Python Packages Install Stata Packages Set up Git and GitHub Set up LaTeX Set up MATLAB Set up Pandoc Set up Perl Set up Python Set up R and RStudio Set up StataAutomation and WorkflowsMaking Path Settings Permanent Set up Command Line Tools Set up Docker Set up Make Set up Snakemake Set up TeamViewer Set up the AWS ClientResearch InfrastructureLearn About the Various Ways to Setup a Research Infrastructure Cloud Computing with SURFsara's Cartesius Cluster Cloud Computing with SURFsara's LISA Cluster Getting Started with Research Cloud HPC TiU for Cloud Computing Set up SURF Research Drive and Rclone to Store Data Setting Up a New Workspace, Configuring Git and Adding Research Drive on Research Cloud Use Google Colab to Run Python in the CloudTask-specific ConfigurationsConfigure Python virtual environments Configuring Python for Web ScrapingRegressionsRun a Regression Analysis Easy Standard Error Adjustment with `estimatr` Evaluate Model Assumptions Compute Marginal Effects Doing Calculations with Regression Coefficients Using deltaMethod Generate regression tables in R with the `modelsummary` package Intro to IV Estimation Create a publication-ready LaTeX regression table with `kableExtra` in R Generate a coefficient plot in R with the `modelplot` function Interpreting Regression Models in R Mediation Analysis Tutorial in R Interaction TermsRegression DiscontinuitySharp RD Designs Regression Discontinuity Plots Continuity-Based Approach Fuzzy RD Designs Fuzzy RDD in Practice Local Randomization Approach Validation and Falsification Analysis for RDD Impact evaluation with Difference-in-Differences and Regression Discontinuity Synthetic Control for Impact EvaluationRegressions With Panel DataAn Introduction to Panel Data Fixed Effects Regression Assumptions The Pooled OLS Model The First-Difference Estimator The Fixed Effects Model (Within Estimator) Fixed-Effects Estimation in R With the `fixest` Package The Between Estimator The Random Effects Model An Introduction to Difference-in-Difference Analysis Canonical Difference-in-Difference as a Regression Staggered Difference-in-Difference EstimationAutomate your WorkflowUse Makefiles to Manage, Automate, and Reproduce Projects Configure a Self-hosted runner for GitHub Actions workflows Implement a GitHub Actions workflow for code formatting and testing Enhance Reproducibility and Automation with GitHub Actions Debugging Makefiles With Remake How to Automatically Install R Packages Used in a Project Schedule Recurring Tasks (e.g., by day, hour) Error Handling in Stata Workflows Using R tableFill for Reproducible Tables Make Tables and Figures Reproducible with Autofilling Values Share Large Temporary Files Use this Checklist to Improve Your Project's Structure and EfficiencyMake your Work ReproducibleUse Software Environments to Ensure Replicability Configure a VM with GPUs in Google Cloud Package Management for R: renv Import and run a project environment with Docker on Google Cloud Export a Python Environment with Docker and Share It Through Docker Hub Docker for Reproducible Research Manage your R Packages with Packrat Run RStudio on AWS using Docker Monitor and solve memory constraints in your computational environment Handle storage within your Google Cloud instanceVersion and Share Code with GithubGet Started With Using Git and GitHub The Most Important Git Commands You Should Know Restoring Timestamps in Git Repositories The GitHub Workflow Contribute to Open Source Projects Exclude Files from Versioning Git Branching Strategies Best Practices for Naming Git Branches Best Practices for Git Commits Make Your GitHub Repository Citable using DOIs Remove Sensitive or Large Files From Your Repository Working with Large Files on GitHub Archiving Repositories When They Are Done Export Repositories With GitHub ReleasesWrite your PaperForest Plot Generation in R Visualizing data with Plotnine and Altair Use Overleaf to Collaborate on Research Papers LyX for Professional Research Papers and Presentations Get Started With Our Bookdown Thesis Template Get Started With Our LaTeX Thesis Template Stata Graphs Made Easy Stargazer: Exporting Publication-Ready Tables in R Cheatsheet for LaTeX Math Commands
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Examples
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