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CS 5304 / INFO 5304

Data Science in the Wild

Fall 2020. 3 credits.

Massive amounts of data are collected by many companies and organizations and the task of a data scientist is to extract actionable knowledge from the data for scientific needs, to improve public health, to promote businesses, for social studies and for various other purposes. This course will focus on the practical challenges of handling big data obtained in the real world. Topics will include establishing data acquisition pipelines, data cleaning, modelling of big data and data visualization. The projects and assignments will focus on real world data systems such as building recommendation systems, analyzing social networks, handling data streams and applying ml on big data.

For more details about the course, check Canvas site here