Hi there! I’m Rebecca Barter. I’m so glad you’ve made it to my page.
I’m a data scientist, educator and communicator whose primary passion is to empower others by teaching critical thinking and technical skills for data science. I spend most of my time working towards improving current approaches to teaching statistics, data literacy and communication, both at introductory and advanced levels.
Originally from Australia, I moved to California in 2014 and graduated from my PhD in Statistics at UC Berkeley in December 2019, during which time I was advised primarily by Prof Bin Yu. During much of my PhD I was a Data Science Fellow at the Berkeley Institute for Data Science (BIDS). My PhD research focused on data science in healthcare (such as predicting surgical site infections using electronic health records).
As an experienced educator, certified RStudio instructor, and certified Software Carpentry instructor, I have taught more than 20 R and data science-related workshops, and have helped hundreds of thousands of people worldwide learn R and statistics through this blog.
My primary upcoming project is a book, “Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making”, that I am co-authoring with my PhD advisor and ongoing mentor, Professor Bin Yu. Veridical Data Science combines Professor Yu’s decades-long experience in the field of data science and her innovative Veridical Data Science framework with my enthusiasm for explaining complex data science topics in a simple and intuitive way. We hope that Veridical Data Science can be a practical handbook for new (and old) Data Scientists, and hope that it will play a significant role in the education of the next generation of data scientists. Veridical Data Science will be published by MIT Press sometime in 2022. Stay tuned!
If you’ve found my blogs helpful and want to buy me a coffee or tea, feel free to contribute over at https://ko-fi.com/rlbarter.