Data Science (DATA) - Data Analytics

DATA 4006  Data Analytics


DATA 3016


Two hours of lecture and one hour of lab per week




Students engage with the principles, concepts, and techniques of data analytics and its applications. Through the presentation of state-of-the-art technologies and data sciencerelated software, students apply their knowledge. Topics include: Data analytics applications in the R and/or Python programming languages. Other topics include: statistics for “Big Data”; advanced statistical analysis of large volumes of highfrequency, heterogeneous data; data transformations; visual analytics; database issues and NoSQL; research into data analytics and methodologies.

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