Data science: many skills -- About data -- Identifying data problems -- Getting started with R -- Follow the data -- Rows and columns -- Beer, farms, and peas -- Sample in a jar -- Big data? Big deal!

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

A new free eBook became available: Introduction to Data Science by Jeffrey Stanton, Associate Professor at Syracuse University. This book provides non-technical readers with a gentle introduction to ...

The presentation below is from the DataEDGE 2013 conference sponsored by the UC Berkeley School of Information – “Data Just Right: A Practical Introduction to Data Science Skills,” featuring Michael ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Beginning this fall, Yale students will no longer be able to waive a prerequisite course for “Data Systems and Programming Techniques,” or CPSC 2230, via an exam. Instead, all students wishing to take ...