IT 531: Data Analytics

internetkeyboard

ID:
IT 531
CREDIT:
4

Data Analytics initially covers the basics of big data, analytics process model, data collection, sampling, and preprocessing. It then covers predictive analytics techniques (e.g., linear regression, logistic regression, decision trees, support vector machines), descriptive analytics techniques (association rules, sequence rules, segmentation), survival analysis (measurements, Kaplan-Meier analysis, parametric survival analysis), social networks analysis (metrics, relational neighbor classifier, relational neighbor classifier, collective inference), benchmarking and data quality, and applications of analytics techniques in several commonly used applications.

Prerequisite: IT 510


Email: info@ssu.edu
Telephone: +1 (949) 833-8868
Address: 1601 Dove Street, Suite 105
Newport Beach, CA 92660, USA

Email: info@ssu.edu
Telephone: +1 (702) 786-3788
Address: 3100 W. Sahara Avenue, Suite 108
Las Vegas, NV 89102, USA

Email: info@ssu.edu
Telephone: +1 (619) 298-1829
Address: 123 Camino de la Reina Suite 100E
San Diego, CA 92108, USA

Email: info@ssu.edu
Telephone: +1 (858) 453-8185
Address: 3252 Holiday Court, Suite 111
La Jolla, CA 92037, USA

Email: info@ssu.edu
Telephone: +1 (858) 581-3969
Address: 919 Garnet Avenue, Suite 216
San Diego, CA 92109, USA
TOP