Description

This course is an introduction to modern data science. Data science is the study of how to extract actionable, non-trivial knowledge from data. The course will focus both on the software tools used by practitioners of modern data science, as well as the mathematical and statistical models that are employed in conjunction with such software tools. On the tools side, we will cover the basics of relational database systems, as well as modern systems for manipulating large data sets such as Hadoop MapReduce, Apache Spark, and Google’s TensorFlow. On the models side, the course will cover standard supervised and unsupervised models for data analysis and pattern discovery.

General Information

On-campus meeting location
Class will be held Monday, Wednesday, Friday from 2:00 to 2:50 in Herzstein Amphitheater.

Announcements

Announcements are not public for this course.
Staff Office Hours
NameOffice Hours
Chris Jermaine
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Gabriel Meriano
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Liubove Orlov Savko
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Carla Sipahioglu
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Qiliang Lai
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