Data Analysis Techniques In Marine Science

MS 263 - Moss Landing Marine Labs

An introduction to using observational oceanographic data, with hands on practice in scientific programming for data analysis with Python.

These course notes are in Jupyter Notebooks. They can be viewed as static web pages on Github or run interactively on Binder.

Name		Name	Last commit message	Last commit date
Latest commit History 253 Commits
data		data
git-reference		git-reference
images		images
software-installation		software-installation
.gitignore		.gitignore
README.md		README.md
code-of-conduct.md		code-of-conduct.md
resources.md		resources.md
week00-introduction.ipynb		week00-introduction.ipynb
week00b-python-intro.ipynb		week00b-python-intro.ipynb
week01-probability-and-distributions.ipynb		week01-probability-and-distributions.ipynb
week01b-python-functions.ipynb		week01b-python-functions.ipynb
week02a-hypothesis-power.ipynb		week02a-hypothesis-power.ipynb
week02b-bash-conditional-execution.ipynb		week02b-bash-conditional-execution.ipynb
week03a-anova-nonparam.ipynb		week03a-anova-nonparam.ipynb
week03b-loops-fileinput.ipynb		week03b-loops-fileinput.ipynb
week04-corr-regress-least-squares.ipynb		week04-corr-regress-least-squares.ipynb
week04b-cruise-data-analysis.ipynb		week04b-cruise-data-analysis.ipynb
week04b-python-packages.ipynb		week04b-python-packages.ipynb