We’re releasing episode 16 of our DataChats video series. And today, Hugo is interviewing Daniel Chen!
Daniel is a Software Carpentry instructor and a doctoral student in Genetics, Bioinformatics, and Computational Biology at Virginia Tech, where he works in the Social and Decision Analytics Laboratory under the Biocomplexity Institute. He received his MPH at the Mailman School of Public Health in Epidemiology and is interested in integrating hospital data in order to perform predictive health analytics and build clinical support tools for clinicians. An advocate of open science, he aspires to bridge data science with epidemiology and health care. You can take his course here Cleaning Data in Python.
In this episode, Daniel talks about his upcoming book, whether to start learning python or R for data science, the best paths to becoming a data science and much more.
We hope that you enjoy watching this series and make sure not to miss any of our upcoming episodes by subscribing to DataCamp’s YouTube channel!