This NSF-funded program teaches students the principles of data science and machine learning. Students will learn concepts about data modeling, data cleaning, data wrangling, and visualization. Students will also learn basic Python programming for processing data and learn ML techniques, including basic concepts, training, classification, and sentiment analysis.

The program will use the open-source Texera platform to help students get familiar with these concepts even if they have a limited computing background. We have included a capstone project for students to learn these skills by analyzing real data (e.g., social media data) to apply the knowledge to conduct ML-based data science. The instructors and staff include teaching assistants from El Camino and Professors, Ph.D. students from UCI who are experts in data management, data science, AI, and machine learning. A gallery showcasing the classroom and learning environment for the program is available.