Thapar Institute of Engineering and Technology (Deemed University) - About

Today, data is accumulating at tremendous rates. It is really becoming a challenge to store and process it all in a meaningful way. Big Data is an IT trend on the fast track. Data analysis methods in machine learning and statistics play a major role in industry and science. This growth of data is driving the need for scalable, parallel and online algorithms and models that can handle this "Big Data". This course will provide a broad foundation for this timely challenge.

This course is about learning the fundamental computing skills necessary for collecting data, effective data analysis, learning to program in R, making inferences and conclusions about real world phenomena and applying modern statistical methods. The students will also explore the computational techniques associated with performing these analyses in the context of parallel and cloud architectures such as MapReduce (Hadoop) and GraphLab. Students will be equipped with the latest knowledge and technology to meet the latest industry needs and get their dream jobs.