Profile

Jeff Leek, PhD

Associate Professor, Biostatistics

Bio

<a href="http://www.biostat.jhsph.edu/~jleek/">Jeff Leek</a> <span>&nbsp;is an Assistant Professor of&nbsp;</span> <a href="http://www.biostat.jhsph.edu/" title="Link: http://www.biostat.jhsph.edu/">Biostatistics</a> <span>&nbsp;at the&nbsp;</span> <a href="http://www.jhsph.edu/" title="Link: http://www.jhsph.edu/">Johns Hopkins Bloomberg School of Public Health</a> <span>&nbsp;and co-editor of the&nbsp;</span> <a href="http://simplystatistics.org/" title="Link: http://simplystatistics.org/">Simply Statistics</a> <span>&nbsp;Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.</span> <br>

Courses

Statistical Inference

Regression Models

Introduction to Genomic Technologies

Exploratory Data Analysis

Developing Data Products

Managing Data Analysis

Reproducible Research

Statistical Inference

Executive Data Science Capstone

Exploratory Data Analysis

Data Analysis

Data Science in Real Life

Practical Machine Learning

R Programming

R Programming

Reproducible Research

The Data Scientist’s Toolbox | 数据科学家的工具箱

Data Science Capstone

Regression Models

Building a Data Science Team

Data Science Capstone

The Data Scientist’s Toolbox

Statistics for Genomic Data Science

The Data Scientist’s Toolbox

Developing Data Products

A Crash Course in Data Science

Statistics for Genomic Data Science

Introduction to Genomic Technologies

Getting and Cleaning Data

Getting and Cleaning Data

The Unix Workbench

Practical Machine Learning

Genomic Data Science Capstone