This is a block class.

Given our data-rich world, I believe every citizen should know how to draw and evaluate conclusions based on large amounts of information.

In this class, we will work together through an online course from Duke University — yes, an introductory college-level course. I led a group of PSCS students through this course three years ago, and I found the materials to be excellently put together. I’ve done a lot of online courses; this one stands out as high-quality.

You will learn “how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.” We’ll also learn to use R, a programming language used by many data scientists for processing information.

There are lectures, problem sets, projects, and quizzes. Outside of class, you will watch lectures on your own time. There will be a lot of lecture-watching homework for this class, as the course is estimated to take 100 hours of time to complete, but we’ll have only 24 class hours. We won’t get through the entire course, but we’ll cover quite a bit of it.

During our class meetings, we’ll work problems and projects together, helping each other understand the content.

To get the most out of this course, you should be very comfortable with basic math, and ideally have some algebra under your belt. Given the pace of this college-level course, having a strong affinity for math will certainly make this more enjoyable. There are no programming prerequisites for this course. If you have any questions about whether you qualify, talk to me.