This course provides an introduction to the basic concepts of big data analytics. Topics covered will include: statistical analysis, machine learning, cloud computing, Hadoop, MapReduce, Spark, DataBridge, data privacy, and R language.
Credits: 3 Prerequisites: CS 302. The maximum number of attempts for this course is three, including earned grades, withdrawals, and audits.