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Goal of repository

The aim of this repository is to teach skills in practical data analysis through a case study approach. Each module begins with a motivating dataset and then proceeds with hands-on methods to analyze these data. In this way, we hope to motivate exploration of data analysis methods. Although we do provide some mathematical discussions, this repository does not provide a deep exploration of mathematical or statistical theory; for that, we have included references throughout.

Organization of repository

There are multiple paths through this repository.

• "I've never used Python before, and I'm new to data analysis."

  • Start with: Introduction to Python

• "I have some Python experience."

  • You might narrow your focus by data type, either:

    • Neural field data

      The Event-Related Potential

      Analysis of Rhythmic Activity in the Scalp EEG

      Analysis of Rhythmic Activity in an Electrocorticogram

      Cross-Frequency-Coupling

    • Spike train data