Welcome to Probability and Data Analysis
Master the fundamental concepts of probability theory and statistical analysis with Python. Learn to analyze data, make predictions, and draw meaningful conclusions from real-world datasets.
Probability Theory
Build a strong foundation in probability concepts including conditional probability, Bayes' theorem, random variables, and probability distributions.
Statistical Analysis
Learn descriptive statistics, hypothesis testing, confidence intervals, ANOVA, and regression analysis with practical applications.
Python Implementation
Apply statistical concepts using Python with NumPy, SciPy, pandas, and Matplotlib for data analysis and visualization.
Meet Your Instructor
Prof. Ron (Rongyu) Lin
Assistant Professor of Computer Science at Quinnipiac University, with expertise in Multi-fidelity and Multi-agent Interactive Engineering, Computational Materials Discovery, and AI Cross-domain Applications.
Office: CCE 233, Quinnipiac University
Email: rongyu.lin@qu.edu
