Data Science (DATA) - Tools and Technologies in Data Science

DATA 3016  Tools and Technologies in Data Science


DATA 3006


Two hours of lecture and one hour of lab per week




Students engage with the main state-of-the-art tools and technologies employed in data science and data analytics, including Hadoop, MapReduce, NoSQL database systems, visual analytics, and programming in the R and Python programming languages. Application of the use of these tools are based in real-world applications. Students will also develop an understanding of the computational, mathematical, statistical, and theoretical foundations of these tools.

Nipissing University
100 College Drive, Box 5002, North Bay, ON, Canada  P1B 8L7  Tel: 705.474.3450 | Fax: 705.474.1947 | TTY: 877.688.5507

© Nipissing University 2015DisclaimerPrivacyAccessibility