Data Science for Statisticians

Course outline

• What do we mean by data science? What are our guiding principles when teaching data science?
• Getting set up
  • Installing R, RStudio and Git
  • Working in RStudio
  • Working in Unix
  • Advanced Unix
  • Introduction to Git
  • Introduction to GitHub
• Wrangling with the tidyverse
• Data visualization with ggplot2
• Example lectures and case studies
  • Trends in world health and economics - Data visualization
  • Data visualization principles
  • Election forecasting - Statistical Inference and Modeling
  • Advanced wrangling
  • Zip code reading - Machine Learning
  • Smoothing
  • Advanced machine learning
• Logistics for our course
• Practicum: create your own homework