Introduction to Biostatistics and Bioinformatics course at NYUMC

We are giving a new course in the PhD program at NYU Med School (Sackler Institute) this semester called "Introduction to Biostatistics and Bioinformatics". It will have a mixture of lectures on Bioinformatics, Biostatistics, and Python programming. Hopefully we will be able to show the students the intersection of these topics as something like "Data Science for Biology".  Lecturers will be myself, David Fenyo, Judy Zhong, and Pamela Wu.

Course Overview

The goal for the Introduction to Biostatistics and Bioinformatics course is to provide an introduction to statistics and informatics methods for the analysis of data generated in biomedical research. Practical examples covering both small-scale lab experiments and high-throughput assays will be explored. The course covers a wide range of topics in a short time so the focus will be on the basic concepts, and in the practical programming exercises the students explore these basic concept and common pitfalls. An introduction of basic Python and R programming will be given throughout the course and many exercises will involve programming.

The lectures will be posted to YouTube each week. Here are our first ones from yesterday:
Intro Lecture/Data Visualization:  http://youtu.be/YDUPzq7i49U
Python programming #1:  http://youtu.be/r2N-thn7j4o


The course curriculum and links to lecture slides (PPT), readings, and various handouts and exercises is here:   http://fenyolab.org/ibb2014