Free Bioinformatics for Beginners: Statistical Analysis and Modeling for Bioinformatics

An Introduction to the World of Meaningful Scientific Data

Join us for Day 3 of a free, five-day series about the booming field of bioinformatics.

Statistical Analysis and Modeling for Bioinformatics

Linear regression is one of the go-to modeling choices for many types of problems today and heavily used in biology. In this hour-long workshop, students will learn the fundamental theory behind linear regression and assumptions underlying this common modeling approach as well as how to properly use and interpret these models

Featuring: LAURYNAS KALESINSKAS, doctoral candidate in the Stanford University program of Biomedical Informatics.
Teaches: Statistical Analysis and Modeling for Bioinformatics and Biomedical Applications

Series Overview

Each day this week we are diving into a key topic in the industry during a live-online, one-hour webinar. Designed to give you a sense of what it takes to begin a bioinformatics career, you will hear from Silicon Valley bioinformaticians in the Bioinformatics certificate program at UC Santa Cruz Silicon Valley Extension and learn about the different tools and technologies used to make meaning from the vast trove of amassed health data. This specialized data serves as the foundation for cures and vaccines being discovered each day. You may attend one or all of the five one-hour, stand-alone sessions.

Who This Is For

No experience necessary. These live lectures are designed for anyone interested in learning about a possible career in the fascinating field of bioinformatics. You’ll get to see if merging your interest in science with programming makes sense to you. The demand is enormous for trained professionals in the bioinformatics field. Help save lives!

Coming up

Thursday, April 9, 5:30 p.m.–6:30 p.m. (PST)

  • Learn to Apply Python tools to Bioscience Data with ADAM LAVERTU, doctoral candidate in the Stanford University program of Biomedical Informatics.

Friday, April 10, 5:30 p.m.–6:30 p.m. (PST)

Sign Up for a Free Bioinformatics Webinar.

Wednesday, April 8, 2020 at 5:30pm to 6:30pm

Virtual Event