Section outline

  • Lecture 1: Introduction to the course

    What is data science/big data?  What makes it different from non-big data?  What big data can and cannot do.  Phases of data science:  getting data, merging and cleaning data, storing and accessing data, visualizing or telling stories with data, drawing conclusions from data.

    Faculty:  Aaron Wolfe Scheffler