AmoDinho/datacamp-python-data-science-track
The full DataCamp Python track, parked in one repo
To keep slides, exercises, and solutions from DataCamp’s Python track in one searchable place instead of scattered across a dozen browser tabs.
Not currently ranked — collecting fresh signals.
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What it does
This repo is an organized collection of notes, slides, and exercise materials from DataCamp’s “Data Scientist with Python” track. It covers the full sequence from introductory Python and pandas through machine learning with scikit-learn, deep learning, NLP, and network analysis. Think of it as a study companion that lives in a single repository instead of a loose pile of local notebooks.
The interesting bit
The value isn’t in novel software; it’s in the sheer scope of the aggregation. The repository bundles two dozen courses into per-course folders, making it easy to browse materials without clicking through DataCamp’s interface.
Key highlights
- Covers the full stack: pandas, Bokeh, scikit-learn, deep learning, and NLP fundamentals
- Includes bonus material on correlation, regression, and network analysis beyond the core track
- MIT licensed, so the notes are genuinely reusable
- ~900 stars suggest it hit a nerve with learners looking for offline reference material
Caveats
- This is an unofficial study log, not a DataCamp-sanctioned resource
- The README is purely a course directory; expect to hunt through folders for specifics
Verdict
Worth bookmarking if you’re currently working through the DataCamp Python track and want to compare your code against a fellow traveler’s notes. If you’re looking for a standalone, self-teaching data science course, this is only the appendix—you’ll still need the platform’s context.
Frequently asked
- What is AmoDinho/datacamp-python-data-science-track?
- To keep slides, exercises, and solutions from DataCamp’s Python track in one searchable place instead of scattered across a dozen browser tabs.
- Is datacamp-python-data-science-track open source?
- Yes — AmoDinho/datacamp-python-data-science-track is open source, released under the MIT license.
- What language is datacamp-python-data-science-track written in?
- AmoDinho/datacamp-python-data-science-track is primarily written in Python.
- How popular is datacamp-python-data-science-track?
- AmoDinho/datacamp-python-data-science-track has 901 stars on GitHub.
- Where can I find datacamp-python-data-science-track?
- AmoDinho/datacamp-python-data-science-track is on GitHub at https://github.com/AmoDinho/datacamp-python-data-science-track.