This series aims to provide a comprehensive introduction to data science using Python tools. Through eight one-hour sessions, you will gain hands-on experience in analyzing various types of data such as numbers, text, time-series, images, and videos.
 
These workshops are designed to equip you with the necessary skills and knowledge for academic and professional growth in data science. Your participation in these workshops will improve your understanding of the subject and allow you to connect with peers and experts from different fields. 

• 11/21 1pm UArizona Data Lab:  Computer Vision: Image and Video Analysis
• 11/28 1pm UArizona Data Lab:  AI Tools Landscape

Learning Objectives
    - To impart a foundational understanding of data science methodologies and techniques.
   - To facilitate hands-on experience with Python libraries such as Pandas, NumPy, and Matplotlib, scikit-learn.
   - To enable graduate students to analyze and interpret diverse types of data, including numeric, textual, time-series, image, and video data.

Workshops are held in-person at the UA Main Library, CATalyst Data Studio (B201) and via Zoom at https://arizona.zoom.us/meeting/register/tZwuc-morz4qH9eJak6a5QDQsel-IZhJU9oY

Register for these workshops