Introduction to Time Series Analysis

Research
Prerequisites: 

Python or R, some familiarity with statistical modeling is helpful

Description: 

This course will teach the basics of time series analysis, a statistical approach to dealing with sequential data sets. We'll cover trends, autocorrelation, moving averages, and modeling with Facebook's prophet library, all with stock markets as a motivating example!

This course is taught by Corrin Fosmire. Please contact him at dataworkshop@rice.edu if you need to cancel your registration or have any questions.

 

Dates for this Short Course

Tuesday, March 10, 2020 - 10:00am to 11:30am
Location: 
Fondren Library Basement Collaboration Space, B43A
Research Data Tags: