The Big Data Analytics with PySpark, Power BI and MongoDB course is designed to provide learners with practical knowledge of big data technologies, data processing, visualisation, and database management for modern data-driven industries. The course introduces the core concepts of big data analytics, distributed data processing, business intelligence, and NoSQL database systems using industry-relevant tools including PySpark, Power BI, and MongoDB. Learners will gain hands-on experience working with large datasets, analysing information efficiently, and presenting meaningful insights through visual dashboards and reports.

This course explores data extraction, transformation, processing, storage, and analytics techniques used in real-world business environments. Learners will understand how to manage structured and unstructured data, create data visualisations, perform business reporting, and develop scalable analytics solutions using modern technologies. Emphasis is placed on practical implementation, analytical thinking, and problem-solving skills for handling large-scale data systems effectively.

By the end of the course, learners will be able to process big data using PySpark, manage databases with MongoDB, create interactive dashboards in Power BI, and apply advanced analytics techniques confidently for business intelligence and data-driven decision-making.