A tentative syllabus, subject to change, is below.

Date Topic Detail Slides/Exercises
Aug 31, 2015 Intro - slides
Sep 7, 2015 Getting started Intro I: Getting Started  
    Intro II: A Few Tips for Coding  
Sep 10, 2015 R Intro Topic 1: Just Enough To Be DangeRous slides
    Topic 1: Reading And Working With Data exercise 1
Sep 14, 2015 Data Visualization Topic 2: Data Visualization (readings) slides
Sep 21, 2015 Data Visualization Topic 2: Data Visualization (readings) slides
Sep 24, 2015 Lecture Different Types of Data slides
Sep 28, 2015 Guest lecture Rune Madsen: Data visualization at the New York Times & Programming and the Visual Arts slides
Oct 8, 2015 Data Manipulation Topic 3: Data Manipulation (readings) slides
Oct 14, 2015 Deadline Assignment 1 assignment 1
Oct 19, 2015 Data Manipulation Topic 3: Data Manipulation (readings) slides
Oct 22, 2015 Web Scraping Topic 4: Data Gathering slides
Oct 26, 2015 Working with APIs Topic 4: Data Gathering slides
Nov 2, 2015 Git, Github & R Markdown Topic 5: Git, Github & R Markdown (readings) slides
Nov 5, 2015 Lecture Big Data in Economics (readings) slides
Nov 9, 2015 Overview Topic 6: Statistical Learning (readings) slides
  Deadline Assignment 2 assignment 2
Nov 12, 2015 Supervised Learning Topic 6: Statistical Learning (readings) CANCELLED
Nov 16, 2015 Supervised Learning Topic 6: Statistical Learning (readings) slides
Nov 19, 2015 Guest lecture Zoltán Fazekas: Text as Data (readings) slides
Nov 23, 2015 Deadline Project Description  
Nov 23, 2015 Unsupervised Learning Topic 6: Statistical Learning (readings) slides
Nov 26, 2015 Lecture Privacy and Ethics (readings) slides
Nov 30, 2015 Practice Session Work on Your Project / Project feedback  
Dec 3, 2015 Practice Session Brainstorm Challenges Related to Project  
Dec 7, 2015 Practice Session Brainstorm Challenges Related to Project  
Dec 14, 2015 Practice Session Work on Challenges Related to Project  
Dec 15, 2015 Deadline Exam Project  
    ————— End of course —————