Big Data Analytics

Catalog description

The course covers algorithms and software frameworks that are used for automating data analysis of big data. The course topics include Python for data science, big data stack, data analytics architecture, MapReduce, Hadoop and case studies such as recommendation engines. The course teaches practical skills in implementing big data analytics using industry-standard software, such as Python and MapReduce, and cloud computing services. Cross-listed with DASC 6911 . Prerequisites: DASC 3010 and ( MATH 2111 or MATH 2711 ) and have at least junior level and demonstrate basic Python programming skills (such as CSAS 4124 or ISCI 1117 .) 3 credits.