Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, ...

Note: This course description is only applicable for the Computer Science Post-Baccalaureate program ... to the tools methods and theory behind extracting insights from data. Covers algorithms of ...

data relationships; correlation; inference with confidence; significance tests; network simulation and analysis; performance analysis of systems and networks. REQUIRED TEXT: Moore, McCabe & Craig, ...

G Grolemund and Hadley Wickham R for Data Science (O'Reilly Media, 2016) JV. Guttag Introduction to Computation and Programming using Python (Second Edition, The MIT Press, 2017) James et al An ...

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the Department of Statistics.

A degree in statistics and data science will enable students to enter the booming field of data science with the hands-on experience and training needed by today’s most innovative companies. Learn ...