> For the complete documentation index, see [llms.txt](https://prof-rossetti.gitbook.io/intro-to-python/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://prof-rossetti.gitbook.io/intro-to-python/units/unit-20.md).

# Unit 5B: Advanced Data Analytics

## Learning Objectives

This unit provides optional reference material for students interested in exploring alternative, more advanced applications in statistics, natural language processing, and machine learning. :smiley\_cat:

## Discussions and Notes

* Business Analytics
* Statistics and Statistical Models
* Natural Language Processing (NLP) and Sentiment Analysis
* Artificial Intelligence and Machine Learning (AI/ML)

## Reference Documents

* Basic Statistics:
  * [The `statistics` Module](/intro-to-python/notes/python/modules/statistics.md)
* Predictive Models:
  * [The `scikitlearn` Package](https://scikit-learn.org/stable/)
* Neural Networks:
  * [The `keras` Package](http://data-creative.info/projects/2018/12/16/learning-keras-tensorflow-py/)
  * The `tensorflow` Package
* Natural Language Processing:
  * [The `nltk` Package](/intro-to-python/notes/python/packages/nltk.md)
  * The `spacy` Package

## Activities and Exercises

* Sentiment Analysis Exercise TBA - Contributions Welcome!
* Predictive Modeling Exercise TBA - Contributions Welcome!