Select a Class
201-0 Introduction to Programming for Data Science
- 20: Introduction to Programming for Data Science - Shreeya Behera - Mon, Wed, Fri 2:00PM - 2:50PM
202-0 Introduction to Statistics and Data Science
- 20: Introduction to Statistics and Data Science - Arend M Kuyper - Mon, Wed, Fri 9:00AM - 9:50AM
210-0 Introduction to Probability and Statistics
- 20: Introduction to Probability and Statistics - Maxim Sinitsyn - Mon, Wed, Fri 1:00PM - 1:50PM
228-0 Series and Multiple Integrals
- 20: Series and Multiple Integrals - Gus Schrader - Mon, Wed, Fri 11:00AM - 11:50AM
301-3 Data Science 3 with R
- 20: Data Science 3 with R - Arend M Kuyper - Mon, Wed 12:30PM - 1:50PM
- 21: Data Science 3 with R - Shengbin Ye - Mon, Wed 5:30PM - 6:50PM
302-0 Data Visualization
- 20: Data Visualization - Shengbin Ye - Mon, Wed 3:30PM - 4:50PM
303-3 Data Science 3 with Python
- 20: Data Science 3 with Python - Emre Besler - Mon, Wed 12:30PM - 1:50PM
- 21: Data Science 3 with Python - Shreeya Behera - Mon, Wed 5:30PM - 6:50PM
- 22: Data Science 3 with Python - Emre Besler - Tues, Thurs 5:00PM - 6:20PM
304-0 Introduction to Data Structures and Algorithms
- 20: Introduction to Data Structures and Algorithms - Kaize Ding - Mon, Wed 12:30PM - 1:50PM
320-2 Statistical Theory & Methods 2
- 22: Statistical Theory & Methods 2 - Hongmei Jiang - Tues, Thurs 9:30AM - 10:50AM
320-3 Statistical Theory & Methods 3
- 20: Statistical Theory & Methods 3 - Arend M Kuyper - Tues, Thurs 12:30PM - 1:50PM
332-0 Statistics for Life Sciences
- 20: Statistics for Life Sciences - Hongmei Jiang - Tues, Thurs 2:00PM - 3:20PM
351-0 Design and Analysis of Experiments
- 20: Design and Analysis of Experiments - Arvind Krishna - Tues, Thurs 3:30PM - 4:50PM
362-0 Advanced Machine Learning for Data Science
- 20: Advanced Machine Learning for Data Science - Emre Besler - Tues, Thurs 3:30PM - 4:50PM
390-0 Data Science Project
- 20: Data Science Project - Han Liu - Mon, Wed 2:00PM - 3:20PM
- 21: Data Science Project - Han Liu - Mon 5:00PM - 7:50PM
415-0 Introduction to Machine Learning
- 20: Introduction to Machine Learning - Arvind Krishna - Tues, Thurs 9:30AM - 10:50AM
420-3 Introduction to Statistical Theory & Methodology-3
- 20: Introduction to Statistical Theory & Methodology-3 - Wenxin Jiang - Tues, Thurs 12:30PM - 1:50PM
435-0 Mathematical Foundations of Machine Learning
- 20: Mathematical Foundations of Machine Learning - Han Liu - Tues 5:00PM - 7:50PM
440-0 Applied Probability for Statistics
- 20: Applied Probability for Statistics - Wenxin Jiang - Tues, Thurs 2:00PM - 3:20PM
461-0 Advanced Topics in Statistics
- 20: Agentic AI - Advanced Topics in Statistics - Kaize Ding - Mon, Wed 5:00PM - 6:20PM
595-0 Internship
- 1: Internship - Hongmei Jiang - TBA