Stochastic Solutions is producing a course on Anomaly Detection in Python for DataCamp. This workshop will give a preview of part of that course. Topics covered will include characterizing normality and abnormality, spotting anomalies by eye, building automated anomaly detectors over various kinds of data streams and types, and considerations for monitoring (false positives vs. false negatives).
I am looking for editors/curators to help with branches of the tree. Please send me an email if you are interested.