CB 399: Technologies for Data Analysis for Experimental Biologists Spring 2014

Technologies for Data Analysis for Experimental Biologists

Nanocourse Director: David Van Vactor
Curriculum Fellow: Melanie Stefan, Melanie_Stefan@hms.harvard.edu

Registration information: Registration is required, even if you are auditing. Attendance at both sessions and the pre-course meeting is required. Enrollment for this course is limited, enrolled students will be notified via email. Priority will be given to students on the waitlist from earlier course offerings. Priority may also be given to students also enrolled in the Fundamentals of Data Analysis nanocourse.  To register please sign up below.

This course is designed to be taken in conjunction with the "Fundamentals of Data Analysis for Experimental Biologists" Nanocourse, but can also be taken as a standalone course. This course will teach students to use the JMP statistical software, which is available to everybody in the Harvard community. This will enable students to

Implement the concepts learned in the "Fundamentals of Data Analysis" nanocourse (e.g. summary statistics, parametric and nonparametric testing, correlations)

Use the software to illustrate some of the concepts and improve statistical intuition (e.g. on p values, confidence intervals and sample distributions)

Become familiar with JMP and start using it to analyze their own research data

The focus of this course will be on exercises, both in class and at home. Students should bring their laptops with JMP installed (information on how to do this will be provided in advance). Everyone (including auditors) is required to sign up and attend both sessions.

Assignment: All students are required to attend a pre course meeting. Students will be given an assignment to complete before Day 1 (which consists of installing JMP and going through an entry-level tutorial). There will also be two take-home assignments, one after each day of class.


Mandatory pre-course meeting (joint with Fundamentals pre course meeting)
Wednesday April 30th, 5:15-6:00pm
TMEC 109

First Session: Thursday, May 8, 2014, 1 – 4 PM
Location: TMEC Building, Room 126
Second Session: Thursday, May 15, 2014 1 – 4 PM
Location: TMEC Building, Room 109


 DROP DEADLINE: Thursday, May 1, 2014