Open Data Science for All (OpenDS4All)

https://github.com/odpi/OpenDS4All/blob/master/CONTRIBUTING.md - The minimum requirement for a module to be considered for inclusion in this repository is that it contains:

a set of PowerPoint slides ( with presenter notes ) 30 or more slides are recommended there must be enough substance in the slide deck to cover at least a 50-minute lecture a Jupyter notebook ( illustrating how material covered in the slides are applied to one or more data sets ) use public data sets that are available for download or accessible through a hyperlink do not assume dependent packages are pre-installed in the user's Jupyter environment import all modules needed to run the code cells successfully keep the markdown cells as simple as possible NB! The Jupyter notebook my be omitted in special cases, such as in Foundational modules where no accompanying data sets exist. But, this should be the exception rather than the rule. a short summary of the module with a set of learning outcomes ( in a text or a markdown file ) 300 or less words are recommended ( for the summary ) use active verbs when formulating outcomes make sure the the outcomes are measurable examples of learning outcomes are understand sampling, probability theory, and probability distributions implement descriptive and inferential statistics using Python demonstrate ability to visualize data and extract insight

This repository now also accepts data use cases.

Data use cases should include:

One or more data sets A description of: The purpose / goal of analyzing this data and what business problem(s) can be solved with similar data (objective)? The data set The origin of the data (source) The features of the data set (attribute information) A Jupyter Notebook illustrating how the data is analysed