We invite Institute staff and graduate students to join our course on data analysis using Python.
The course is designed to guide students through the entire data science process, from initial tool setup to visualizing results. The following topics are covered:
- Installing and configuring development environments (VSCode, Jupyter Notebook);
- Working with virtual environments (venv, conda);
- Processing tabular data (Pandas);
- Basics of data visualization (Seaborn and Matplotlib).
A separate module of the course is dedicated to working with DeepLabCut. This tool uses neural network models to detect and track individual body parts in videos, which can be useful for a wide range of research tasks.
The course focuses not on an encyclopedic listing of all library functions, but on developing students' basic yet sufficient competencies for quickly applying the acquired knowledge in their research.
The training is conducted on a platform developed by us. The course includes not only theoretical materials but also practical tasks with automatic verification, allowing students to receive immediate feedback without the need for a human reviewer.
We are currently expanding the course with new materials and welcome any suggestions and comments regarding both the content and functionality of the platform.
The materials are designed for beginners.
You can view a demo version of the course by following this link.