Introduction to Python

• Basic syntax
• Installation of required tools and libraries

Python for Data Processing

• Variables
• Control structures
• Functions and modules
• Introduction to NumPy and pandas

Automation & Advanced Processing

Task automation using Python scripts. Advanced data processing:

• Cleaning
• Normalization
• Transformation
• Loading and processing data

Building machine learning models

• Building and training models for classification and regression

Intro to AI & Deep Learning

• Theoretical foundations of artificial intelligence and deep learning
• Overview of the most important deep learning algorithms
• Working with PyTorch to build deep learning models

Dimensionality Reduction

• PCA
• UMAP
• Visualization of high-dimensional data

Project Work

• Application of learned techniques to real-world bioscience problems