https://github.com/brianspiering/course-directory
Directory of courses I have developed and delivered
https://github.com/brianspiering/course-directory
data engineering
Last synced: 18 days ago
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Directory of courses I have developed and delivered
- Host: GitHub
- URL: https://github.com/brianspiering/course-directory
- Owner: brianspiering
- Created: 2023-03-04T13:43:00.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-04-19T23:13:56.000Z (almost 3 years ago)
- Last Synced: 2025-05-21T19:18:44.147Z (9 months ago)
- Topics: data, engineering
- Homepage:
- Size: 27.3 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Course Directory
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Courses I have developed and delivered.
| Name | Summary |
|:-----|:--------|
| [Introduction to Machine Learning](https://github.com/brianspiering/machine-learning-in-scikit-learn) | Go from zero to proficient in Python's scikit-learn package |
| [Introduction to Deep learning (DL)](https://github.com/brianspiering/deep-learning-course) | Applied DL: fundamentals and applications |
| [Introduction to Natural Language Processing (NLP)](https://github.com/brianspiering/nlp-course) | Applied NLP: fundamentals and applications |
| [Introduction to Knowledge Graphs (KG)](https://github.com/brianspiering/knowledge-graph-workshop) | Applied KG: fundamentals and applications |
| [Introduction to Reinforcement learning (RL)](https://github.com/brianspiering/rl-course) | Applied RL: fundamentals and applications |
| Python for non-programmers | Introduction to Python for people with no previous coding experience |
| Python for data analysts | Level-up data analysts to better use Python |
| [Machine Learning for good](https://github.com/DeltaAnalytics/machine_learning_for_good) | Learn the fundamentals of ML throught the lens of social good / non-profits |
All courses are a combination of lectures and hands-on activities.
All courses are modular and can be customized for any length. Typically lengths are: ½ day, 1 day, 3 days, 1 week, 8 weeks