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Dissertation (Thesis) Learning Resources

Time Series Analysis

Time series are data whose input variable is time. Most time series techniques are designed for data collected at regularly spaced intervals. Irregularly spaced intervals can require different techniques to analyze.

Books I've been reading lately have been really good for this in both R: Hands-On Time Series Analysis with R, and a similar one for Python (which I won't link to because so much of it actually doesn't work even though it only came out in 2020. Both books assume the time series are regular.  Data Camp also has some good stuff on time series.

• What is time series analysis?

• Introduction to Time Series Analysis

• The Complete Guide to Time Series Analysis and Forecasting

• Time Series Analysis

• Time Series Analysis in Python – A Comprehensive Guide with Examples

• Introduction to the Fundamentals of Time Series Data and Analysis

• Introducing Time Series Analysis and forecasting (video)

• Time Series Analysis | Time Series Forecasting | Time Series Analysis In Excel  (video)

• Time Series Analysis | Time Series Forecasting | Time Series Analysis in R (video)

• Time Series Analysis in Python | Time Series Forecasting | Data Science with Python (video)

• Time Series Analysis I (video)

• Irregular Time Series

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