This course on Big Data Analytics aims to teach students best programming practices, data modeling, relational databases, SQL, advanced SQL, alternative databases, inference, uncertainty, probability, R programming, machine learning, classification, clustering, decision trees, random forests, pattern recognition, visualization, data representation, cloud computing, semantics, genetic algorithms, big data architecture, and content detection and analysis. The course uses a combination of lectures, programming assignments, and practical examples to help learners develop skills in handling and analyzing large datasets. The intended audience for this course includes data analysts, data scientists, software engineers, and anyone interested in learning about big data analytics.
https://www.classcentral.com/course/youtube-big-data-analytics-jpl-caltech-48195
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