About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)
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Updated
Jun 11, 2022 - HTML
About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)
Source code for "STAT 3150 - Fall 2020" webpage
Feng Li's Course Materials for Statistical Computing
Data science portfolio: machine learning, statistics, SQL, and visualization. M.S. Data Science (University of Arizona), B.S. Biology.
Assignments and projects for the Statistical Computing (I) course at NTPU, Fall 2024.
Implementations of fundamental nonparametric statistical methods and statistical programming exercises in R, including the Mann–Whitney U test, correlation matrix computation, and runs test for randomness.
UCLA Biostat/Biomath M257 - 2026 Spring
Analysis of Airbnb listing data in R, including amenities processing, exploratory analysis, visualization, and statistical modeling.
Portfolio showcasing applied statistics projects like hypothesis testing, experimental design, and Bayesian inference.
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