Big Data Analytics

О курсе

Ready to turn massive, complex datasets into actionable business insights? This advanced Big Data Analytics course is designed for learners with basic SQL, Python programming, and experience using predictive tools who want to build practical skills for data-driven careers. Learn how to work with the technologies behind modern big data analytics, including Hadoop, HDFS, MapReduce, Hive, Pig, NoSQL, Apache Spark, and PySpark. Through hands-on exercises, you’ll analyze high-volume, high-velocity, and high-variety data, query distributed datasets, and understand how to choose the right technologies for real-world data challenges. Go beyond data processing with Spark Streaming and machine learning on Spark. Build regression and classification models with MLlib, explore sentiment analysis, and work with streaming data in an end-to-end predictive analytics application. You’ll also gain exposure to running Hadoop and Spark on the cloud using Google Cloud Dataproc. By the end of the course, you’ll be able to work with distributed data, develop big data applications, and draw analytical insights from large-scale datasets—building valuable skills for a career in big data analytics and business analysis.

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Dr. Mohit Bhatnagar

Associate Professor