ESPM-88B

• 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:

• https://github.com/boettiger-lab/espm-88b⁠ and
• https://github.com/dsten/ecology-connector⁠

These may not always be synchronized, and the former (boettiger-lab) should be considered the canonical repository.

Course overview

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)

For details, see: http://data8.org⁠ and http://data8.org/text⁠

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.

Licensing:

• All software content: BSD (2-clause)⁠
• All other creative content, unless noted otherwise: CC-BY (4.0)⁠