Data Science Workshop

Setup

R

• Install R https://cloud.r-project.org/
• Install R Studio https://rstudio.com/products/rstudio/download/

Python

• Install Anaconda https://www.anaconda.com/distribution/#macos
• Install pyenv https://github.com/pyenv/pyenv#basic-github-checkout
• Setup pyenv

pyenv install 3.7.1
pyenv install 3.6.7
pyenv install 2.7.14
pyenv global 3.6.7
eval "$(pyenv init -)"

• Install utility packages

pip3 install --upgrade pip
pip3 install --upgrade virtualenv
pip3 install --upgrade pipenv
pip3 install --upgrade ansible
pip3 install --upgrade awscli
pip3 install --upgrade twine
pip3 install --upgrade pyyaml
pip3 install --upgrade black
pip3 install --upgrade pycodestyle
pip3 install --upgrade pylint
pip3 install --upgrade python-language-server

Repositories

GitHub

• Setup
• Basics

Docker

• Installation
• Setup
• Basics

Infrastructure

Midway

• Setup
• Basics

Cloud

• GCP
  • Installation
  • Setup
  • Basics
• AWS
  • Installation
  • Setup
  • Basics

Tutorials

Programming

• Data engineering
  • ETL pipelines and wrangling in R
  • Data in SQL and DBT
  • Dev to prod with Git and containers
  • QC best practices
• Analytics and Viz
  • Aggregation and analytics in R
  • Plots in R
  • Automated decks in R
  • R Shiny
  • Web dev in HTML, JS, CSS
• Data Science
  • Prediction
    • ML with scikit-learn
    • ML with TensorFlow
    • Small sample prediction
    • Causal trees
  • Other techniques
    • Computational geometry
    • Clustering

Data Sources

• Microdata
  • Person-level
  • Address-level
  • Geographic aggregates
• Spatial
  • Raster
  • Vector
• Enhancements
  • Geocoding
  • Standardization