Big data analytics is the application of advanced analytic techniques to massive, diverse big data sets that include structured, semi-structured, and unstructured data, as well as data from various sources and sizes ranging from terabytes to zettabytes.

With a passion for big data analytics, our project leaders designed and developed this big data challenge project that brings together young people with similar interests to learn and explore.

This hands-on introduction to data analytics project will provide you with practical foundation-level training that will enable you to participate in big data and other analytics projects immediately and effectively. Basic analytic approaches, big data analytic technology and tools, such as R, Machine Learning, and Deep Learning, will be covered.

This one-of-a-kind project, which includes stages one (basic knowledge) and two (practice), aims to compete in the Stem Fellowship's big data challenge in 2022.