Training Resources

Summer Schools

Name	Description
Methods in Neuroscience at Dartmouth (MIND)	Nine day hands on training in computational data analysis methods via Pop-up Labs
Neurohackacademy	Two week summer school in neuroimaging and data science
Complex Systems Summer School	An intensive 4-week introduction to complex behavior in mathematical, physical, living, and social systems.
Summer Institute in Computational Social Science	Two week summer school in computational social science.
Summer School in Social Neuroscience & Neuroeconomics	One week lecture based summer school on social neuroscience and neuroeconomics.
Summer Institute in Cognitive Neuroscience	Two week lecture based summer school on topics in cognitive neuroscience. 2019 will be on computational social neuroscience.
fMRI Acquisition & Analysis	Three-day hands on course in fMRI data analysis.
Shanghai Neuroeconomics Summer School	Two week summer school on neuroeconomics
TILES S3B2-ML	Summer school on sensor based behavioral machine learning

Name	Description
Elements of Statistical Learning	Classic book on machine learning statistics.
Python Data Science Handbook	Jupyter notebooks introducing principles of data science in Python
Machine-Learning	Introduction to Machine Learning Coursera class
Data Science Specialization	A series of courses specializing in data science from John's Hopkins Applied Statistics Department.
Principles of fMRI	Coursera class on functional magnetic resonance imaging data analysis.
Dartbrains	Dartmouth course on fMRI data analysis using Python
Neural Time Series Data: Theory & Practice	Videos accompanying excellent introductory book to time series analysis
Mumford Brain Stats	Videos providing introduction to statistics relevant for neuroimaging
Naturalistic Data Analysis	Tutorials on advanced data analysis techniques for naturalistic neuroimaging data.

Either submit a pull request to our github page after adding your lab to the datafile:

_data/webresources.csv

or email us below.