Fall 2024 Applied Data Science with Python

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Lecture 1 - Short History of AI

Lecture 1 - A Short History and Current State of Artificial Intelligence

Theme 1 - Python Programming

Lecture 2 - Data Types in Python
Lecture 3 - Statements, Files
Lecture 4 - Functions, Iterators
Lecture 5 - Object-Oriented Programming, Modules, Packages

Theme 2 - Data Engineering Pipelines

Lecture 6 - NumPy for Array Operations
Lecture 7 - Data Manipulation with pandas
Lecture 8 - Data Visualization with Matplotlib
Lecture 9 - Data Visualization with Seaborn
Lecture 10 - Statistical Data Analysis
Lecture 11 - Databases and SQL
Lecture 12 - Data Exploration and Preprocessing

Theme 3 - Model Engineering Pipelines

Lecture 13 - Scikit-Learn Library for Data Science
Lecture 14 - Ensemble Methods
Lecture 15 - Artificial Neural Networks with Keras-TensorFlow
Lecture 16 - Convolutional Neural Networks with Keras-TensorFlow
Lecture 17 - Model Selection, Hyperparameter Tuning
Lecture 18 - Neural Networks with PyTorch
Lecture 19 - Natural Language Processing
Lecture 20 - Transformer Networks
Lecture 21 - NLP with Hugging Face
Lecture 22 - Large Language Models

Theme 4 - Model Deployment Pipelines

Lecture 23 - Introduction to Data Science Operations (DSOps)
Lecture 24 - Deploying Projects as Web Applications
Lecture 25 - Deploying Projects to the Cloud

Tutorials

Tutorial 1 - Working with Jupyter Notebooks
Tutorial 2 - Terminal and Command Line
Tutorial 3 - Python IDEs, VS Code
Tutorial 4 - Virtual Environments
Tutorial 5 - Web Scraping
Tutorial 6 - Google Colab
Tutorial 7- Image Processing with Python
Tutorial 8 - TensorFlow
Tutorial 9 - PyTorch
Tutorial 10 - Bash Scripting
Tutorial 11 - GitHub
Tutorial 12 - TensorFlow Serving

Fall 2024 Applied Data Science with Python

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Lecture 23 - Introduction to Data Science Operations (DSOps)
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