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https://github.com/gtkcyber/applied_ds_prep
Preparation Materials for Applied Data Science for Cyber Security
https://github.com/gtkcyber/applied_ds_prep
Last synced: about 2 months ago
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Preparation Materials for Applied Data Science for Cyber Security
- Host: GitHub
- URL: https://github.com/gtkcyber/applied_ds_prep
- Owner: gtkcyber
- Created: 2022-07-29T03:20:49.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-08-02T16:13:25.000Z (over 2 years ago)
- Last Synced: 2024-04-20T20:55:49.454Z (9 months ago)
- Language: Jupyter Notebook
- Size: 187 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Preparation Materials for Applied Data Science for Cyber Security
These videos are intended to prepare you for the Applied Data Science in Cyber Security course. They cover the basics of vectorized data structures, and working with the Pandas module in Python.
There are also four worksheets in the `notebooks` and `answers` folders which are referenced in the videos.
## Videos
* [Part 1: Intro to Vectorized Data Structures](https://www.loom.com/share/362b70ce50f948a0a93ad94373ba89f1)
* [Part 2: Intro to Pandas and the Series Object](https://www.loom.com/share/6afd0a6c426f4fe4b8011522e9e2a353)
* [Part 3: Exploring One Dimensional Data](https://www.loom.com/share/266fc000abd548198d2c31d403329052)
* [Part 4: Working with DataFrames](https://www.loom.com/share/21f0b71f0f404bd59c0a40486ab100fb)
* [Part 5: Manipulating DataFrames](https://www.loom.com/share/19492add75c749bdb8ff87220a35fa42)
## Setting up Your Environment
For these exercises, all you will need is a working installation of Jupyter Notebook and a few python modules. We recommmend using Anaconda which is available here: https://www.anaconda.com.
If you have any questions, please don't hesitate to email us at [email protected].