Data Science and Big data

Introduction to core concepts behind big data problems, applications, and systems. Students will be able to identify characteristics of datasets and implement Big Data models. The program provides insights to techniques for data collection, monitoring, storage, representation and modeling of data, data analytics with Hadoop and MapReduce, predictive modeling and anomaly detection with Hadoop, and building data solution in clustering, and Natural Language Processing. Topics include getting started with Spark, developing and protyping applications, application execution on clusters and High-level libraries such as Spark SWL and MLib.

In Class, Assignment

Completing the Diploma in Data Science and Big Data exposes students to various fields for hire, predominately for data analysis, data engineer, big data developer, software engineers, information systems, information analysts, research analyst, and data management, in various IT industries. The technology sector in Canada is growing at an expansive rate which is allowing for new opportunities to arise this field. The job market for graduates with understanding in Data Science and Big Data in IT industry is projected to grow 56% in the next few years and create new jobs as the number of companies expanding their IT departments, are growing.