Top Ten Challenges in Data Science

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Center for Life Sciences Building, 11th floor
3 Blackfan Circle
Boston, MA

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.

2018-2019 schedule:

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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