Overall objective

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Overall objective

The overall objective of this toolkit is to provide a foundation for a “common language” between data science and astronomy communities. The toolkit should help astronomers get a sense of the breadth of data science (as a field and in its applications) and to see where their skills and knowledge fit into this wider view; it should help data scientists and those in need of data scientists (e.g. companies, NGOs) see what astronomers can contribute.

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About the toolkit

Sobre el Toolkit

About the toolkit

  • Open Source

    The entire toolkit is released as Open Source under the GPLv3 license. This includes: the content, the tools for updating it and this website.

    Open Source

    The entire toolkit is released as Open Source under the GPLv3 license. This includes: the content, the tools for updating it and this website.

    Open Source

    The entire toolkit is released as Open Source under the GPLv3 license. This includes: the content, the tools for updating it and this website.

  • Community driven

    The toolkit is maintained by volunteers from astronomy and data science communities.

    Community driven

    The toolkit is maintained by volunteers from astronomy and data science communities.

    Community driven

    The toolkit is maintained by volunteers from astronomy and data science communities.

  • Accessibility

    The toolkit is accessible free of charge. Contact us if you have problems accessing the toolkit.

    Accessibility

    The toolkit is accessible free of charge. Contact us if you have problems accessing the toolkit.

    Accessibility

    The toolkit is accessible free of charge. Contact us if you have problems accessing the toolkit.

The focus of the toolkit is to provide high quality teaching materials in the form of examples, courses and assessments which you are welcome to use for your teaching or perhaps when organising a workshop or a summer school.

The toolkit is aimed at specifically connecting the fields of astronomy and data science and is not meant to compete with massive open online courses such as edX or Coursera.

The focus of the toolkit is to provide high quality teaching materials in the form of examples, courses and assessments which you are welcome to use for your teaching or perhaps when organising a workshop or a summer school.

The toolkit is aimed at specifically connecting the fields of astronomy and data science and is not meant to compete with massive open online courses such as edX or Coursera.

The focus of the toolkit is to provide high quality teaching materials in the form of examples, courses and assessments which you are welcome to use for your teaching or perhaps when organising a workshop or a summer school.

The toolkit is aimed at specifically connecting the fields of astronomy and data science and is not meant to compete with massive open online courses such as edX or Coursera.

Help contribute

The toolkit is in its infancy and for it to be a success we need people to help us create and share content. We are always looking for people keen on contributing.

Help contribute

The toolkit is in its infancy and for it to be a success we need people to help us create and share content. We are always looking for people keen on contributing.

Help contribute

The toolkit is in its infancy and for it to be a success we need people to help us create and share content. We are always looking for people keen on contributing.

Teaching materials

If you have ever taught astronomy using data science techniques or you are a data scientist who has used astronomy examples to teach data science, please consider sharing your teaching materials. You can either directly contribute to github or send us the materials directly via email.

Teaching materials

If you have ever taught astronomy using data science techniques or you are a data scientist who has used astronomy examples to teach data science, please consider sharing your teaching materials. You can either directly contribute to github or send us the materials directly via email.

Teaching materials

If you have ever taught astronomy using data science techniques or you are a data scientist who has used astronomy examples to teach data science, please consider sharing your teaching materials. You can either directly contribute to github or send us the materials directly via email.

Assessments

Few Astronomy summer schools and extra-curricular programmes use any form of assessment. This deprives students of the opportunity to both experience and demonstrate their achievements; and doesn't allow the ability to show others that they achieved what they intended. The toolkit strives towards providing high quality pre- and post-assessments.

Assessments

Few Astronomy summer schools and extra-curricular programmes use any form of assessment. This deprives students of the opportunity to both experience and demonstrate their achievements; and doesn't allow the ability to show others that they achieved what they intended. The toolkit strives towards providing high quality pre- and post-assessments.

Assessments

Few Astronomy summer schools and extra-curricular programmes use any form of assessment. This deprives students of the opportunity to both experience and demonstrate their achievements; and doesn't allow the ability to show others that they achieved what they intended. The toolkit strives towards providing high quality pre- and post-assessments.

Coding and Content

This website has been created using a lot of different tools: HTML5, CSS3, PHP, MySQL, AJAX, jQuery, Shell, JavaScript and Python. If you have experience in any of these tools or perhaps would like to improve the content on this website please help contribute. The entire website can be found here.

Coding and Content

This website has been created using a lot of different tools: HTML5, CSS3, PHP, MySQL, AJAX, jQuery, Shell, JavaScript and Python. If you have experience in any of these tools or perhaps would like to improve the content on this website please help contribute. The entire website can be found here.

Coding and Content

This website has been created using a lot of different tools: HTML5, CSS3, PHP, MySQL, AJAX, jQuery, Shell, JavaScript and Python. If you have experience in any of these tools or perhaps would like to improve the content on this website please help contribute. The entire website can be found here.