What are the Top Ten Challenges in Data Science? The newest Department of Biostatistics and Computational Biology seminar series explores big questions in this growing field. Over 10 months, you'll gain the tools and knowledge to address the most common challenges. These seminars are open to all.
Introduction to R and Rstudio - September 27 at 1pm with Rafael Irizarry
Data visualization with ggplot2 - October 9 at 1pm
Data visualization principles and plots to avoid - November 6 at 1pm
Design of clinical trials basics - December 11 at 1pm
Correlation: you are probably using it wrong - January 15 at 1pm
Culprits of the reproducibility crisis: multiple testing and p-hacking - February 12 at 1pm
Brief introduction to machine learning - March 12 at 1pm
Batch effects - April 9 at 1pm
Experimental Design: How many size and should I pool? - May 14 at 1pm
Detecting differentially expressed genes with RNA-seq - June 11 at 1pm
All of the seminars will take place in the Center for Life Sciences Building, 3 Blackfan Circle, 11th floor.
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