All DataChats

R REPORTING

Mine Çetinkaya-Rundel, 3 November 2017

Mine is the Director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University. She received my Ph.D. in Statistics from the University of California, Los Angeles, and a B.S. in Actuarial Science from New York University’s Stern School of Business. Her work focuses on innovation in statistics pedagogy, with an emphasis on student-centered learning, computation, reproducible research, and open-source education.

R STATISTICS

Charlotte Wickham, 19 October 2017

Charlotte is an Assistant Professor in the Department of Statistics at Oregon State University and an avid R programmer with a passion for teaching.

R STATISTICS

David Robinson, 3 October 2017

Dave is a Data Scientist at Stack Overflow and well known for his blog Variance Explained.

PYTHON STATISTICS

Justin Bois, 14 August 2017

Justin Bois is a lecturer in the Division of Biology and Biological Engineering at the California Institute of Technology. He teaches nine different classes there, nearly all of which heavily feature Python. He is dedicated to empowering students in the biological sciences with quantitative tools, particularly data analysis skills. Beyond biologists, he is thrilled to develop courses for DataCamp. In this DataChat, Hugo and Justin discuss different aspects of data science, including data science education, and Justin shares his advice to those getting started in the field.

SQL DATA MANIPULATION

Chester Ismay, 9 August 2017

Chester builds (and helps instructors build) R and SQL courses for DataCamp. Chester has experience working as an actuary, as a professor, and as a statistical/data scientist consultant in academia. In addition, he has worked as a consultant for actuarial firms and the Portland Trailblazers NBA team. He is co-author of the fivethirtyeight R package and author of the thesisdown R package. He is also a co-author of ModernDive, an open source textbook for introductory statistics and data science students using R.

R MACHINE LEARNING

Brett Lantz, 7 Aug 2017

Brett Lantz is a data scientist at the University of Michigan and the author of Machine Learning with R. After training as a sociologist, Brett has applied his endless thirst for data to projects that involve understanding and predicting human behavior.

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