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Jupyter Notebook environment for Data Science 8 and Connector Courses. See
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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.

Course overview

See 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)

For details, see: and

Draft Syllabus

Population Dynamics

Repository Layout

The course website material can be found on the gh-pages branch.

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
references directory.


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