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Fix links and add README
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README.md

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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-MDS/MCL-DSCI-011-programming-in-python/binder)
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[![Netlify Status](https://api.netlify.com/api/v1/badges/dab56220-f2ae-4008-a57f-0747c40b259d/deploy-status)](https://app.netlify.com/sites/ubc-programming-in-python/deploys)
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# Programming in Python for Data Science
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# Programming in Python for Data Science
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For a direct link to the course website, please click [here](https://prog-learn.mds.ubc.ca/en).
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This was built using a [framework](https://github.com/ines/course-starter-python) made by [@ines](https://github.com/ines) as well as recent changes made to her [SpaCy course](https://github.com/ines/spacy-course).
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We are attempting to have this launch in September 2020.
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A course built using Quarto for UBC Extended Learnings' [Key Capabilities in Data Science program](https://extendedlearning.ubc.ca/programs-credentials/key-capabilities-data-science-certificate).

chapters/en/slides/module2/module2_29.Rmd

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If you enjoyed this part of the module and you wish to learn more advanced visualizations using Altair, take a look at our <br>
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<a href="https://viz-learn.mds.ubc.ca/" target="_blank"><b>Data Visualization</b></a> course
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<a href="https://ubc-mds.github.io/exploratory-data-viz/" target="_blank"><b>Data Visualization</b></a> course
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chapters/en/slides/module2/module2_29.md

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<font size="+3"> If you enjoyed this part of the module and you wish to
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learn more advanced visualizations using Altair, take a look at our <br>
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<a href="https://viz-learn.mds.ubc.ca/" target="_blank"><b>Data
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<a href="https://ubc-mds.github.io/exploratory-data-viz/" target="_blank"><b>Data
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Visualization</b></a> course </font>
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docs/syllabus.Rmd

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## Content
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We are using an interactive platform that contains a series of slide decks accompanied by multiple-choice questions and interactive coding exercises to apply what you learned during the module: [https://prog-learn.mds.ubc.ca/](https://prog-learn.mds.ubc.ca/). We recommend using Chrome, Firefox or Safari to complete the content as other browsers are incompatible with the content platform.
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We are using an interactive platform that contains a series of slide decks accompanied by multiple-choice questions and interactive coding exercises to apply what you learned during the module: [https://ubc-mds.github.io/programming-in-python-for-data-science/](https://ubc-mds.github.io/programming-in-python-for-data-science/). We recommend using Chrome, Firefox or Safari to complete the content as other browsers are incompatible with the content platform.
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## Course Software Platforms
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Students will learn to write code and perform their analysis using the [Python Programming Language](https://www.python.org/doc/essays/blurb/). Assignments as well as the final project analysis will be done using [Jupyter Notebooks](http://jupyter.org/).

docs/syllabus.md

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## Content
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We are using an interactive platform that contains have a series of slide decks accompanied with multiple choice questions and interactive coding exercises to apply what you learned during the module: [https://prog-learn.mds.ubc.ca/](https://prog-learn.mds.ubc.ca/)
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We are using an interactive platform that contains have a series of slide decks accompanied with multiple choice questions and interactive coding exercises to apply what you learned during the module: [https://ubc-mds.github.io/programming-in-python-for-data-science/](https://ubc-mds.github.io/programming-in-python-for-data-science/)
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## Course Software Platforms
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Students will learn to write code and perform their analysis using the [Python Programming Language](https://www.python.org/doc/essays/blurb/). Assignments as well as the final project analysis will be done using [Jupyter Notebooks](http://jupyter.org/).

modules/module2/slides/module2_29.qmd

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If you enjoyed this part of the module and you wish to learn more advanced visualizations using Altair, take a look at our <br>
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<a href="https://viz-learn.mds.ubc.ca/" target="_blank"><b>Data Visualization</b></a> course
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<a href="https://ubc-mds.github.io/exploratory-data-viz/" target="_blank"><b>Data Visualization</b></a> course
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</font>
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