Class slides

Material we cover during class.

---

Table of contents

• D1: Introduction
• D2: Technology
• P1D1: Workflow and Github
• P1D2: Visualization and the Tidyverse
• P1D3: R programming wrap up
• P1D4: Python for data science
• P1D5: No class
• P1D6: Open programming time for Python
• P2D1: Getting data and gun deaths
• P2D2: Functions and automation
• P2D3: Open programming time
• P2D4: Being and data scientist
• P2D5: Writing Python code
• P2D6: Open programming time
• P3D1: Spatiotemporal Data
• P3D2: Visualizing space and time
• P3D3: Programming with spatial data
• P3D4: Programming with spatial data (part 2)
• P3D5: Visualizing Space and Time
• P3D6: Ethics in modeling and scraping
• P3D7: Open programming time (R)
• P3D8: Coding challenge
• P3D9: Programming with spatial data (Python)
• P3D10: Spatial Calculations and Manipulations with GeoPandas
• P3D11: Managing spatial and nested data in Python
• P5D1: We don’t have time for the SQL
• P4D1: Understanding the Pavlov in Machine Learning
• P4D2: Cleaning data for scikit-learn and machine learning
• P4D3: From scikit-learn to DALEX/SHAP
• P4D3: From the Tidyverse to Tidymodels
• P4D4: Model Explainers R