This course is a graduate tour of techniques for processing big data that aims at future Data Scientists. It 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.
The data engineering course offers a blend of theory, case studies, and hands-on experiences. At the end of the course, students will be able to build a data warehouse and data lake, automate date pipelines, work with massive datasets, and understand the concepts of a major platform for cloud computing, such a Amazon Wed Services (AWS), its terminologies, and benefits.
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