- Author and Instructor: Carl Boettiger
Public material for development of course ESPM-88B: Data Science in Ecology and the Environment
NOTE: Copies of this repository appear under both:
These may not always be synchronized, and the former (boettiger-lab) should be considered the canonical repository.
See http://berkeley.carlboettiger.info/espm-88b for more information about this course.
Relation to DS-8: Foundations of Data Science
Prof John DeNero's overview
Week 1: Programming
Week 3: Interpreting a histogram
Week 5: Sampling from a population
Week 7: Hypothesis testing
Week 9: Confidence intervals
Week 11: Regression (optimization, multivariate regression)
Week 13: Prediction (Classification, conditional probability)
The course website material can be found on the
This branch holds (draft) material for classroom exercises and
investigations, as well as further notes as part of the course development
and background material on the python/jupyter/tables environment. These
files appear under the appropriate directory.
More general references and notes on using the python/jupyter/tables
environment and translations to similar environments appears in the