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Data Science for Psychology and Neuroscience — in Python

Welcome

About This Course

Start with why
Learning Objectives for this Course
Syllabus
Technologies Used in this Class
How to Rock This Course
Pedagogy
Open Resources

Introduction to Data Science

Getting Started with the Course
Learning Objectives
What is Data Science?
- Data
Tools for Neural Data Science
Coding Tools

Introducing Python

Introducing Python
Learning Objectives
Introduction to Jupyter Notebooks in CoCalc
Getting Help with Python
Data types
Flow Control
- for Loops
- Conditionals
Working with Data
- pandas DataFrames
- Looping Over Data Files

Visualizing Data

Introduction to Data Visualization
Learning Objectives
Introduction to Plotting with Matplotlib
Procedural versus Object-Oriented Plotting in Matplotlib
Subplots
Thinking About Data for Plotting
Introduction to Plotting with Seaborn
Accessibility and Human Factors in Plotting

Exploratory Data Analysis

Introduction to EDA
Learning Objectives
Working with Repeated Measures Data
Data Cleaning - Dealing with Outliers
Basic Statistics in Python: t tests with SciPy

Single Unit Data

Introduction to Single Unit Data
Learning Objectives
Single Unit Data and Spike Trains
Introducing Multielectrode Data
- Working with Multielectrode Data in pandas
- Correlating spike trains

EEG Data

Introduction to EEG/ERP Data
Learning Objectives
EEG in the Time and Frequency Domains
MNE-Python
EEG-ERP Preprocessing
Group Analysis of ERP Data

MRI Data

Introduction to MRI Data
Learning Objectives
Reading and Visualizing Structural MRI Data
Working with NIfTI images

References

References

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Learning Objectives

By Aaron J Newman
© Copyright 2020-21. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Unported License.