Big Data Analytics

Faculty: Department of Computer Science and Engineering

Batch: 2024

Description

This course introduces the concepts and techniques for processing and analyzing large-scale datasets. Students will learn about distributed systems, parallel computing, and data mining algorithms. The course will also cover topics such as data visualization, data pre-processing, and machine learning for big data. By the end of the course, students should be able to apply big data analytics techniques to solve real-world problems.

Projects

• Predicting Air Quality Using Big Data Analytics
• Movie Recommendation System Using Apache Spark

References

• Big Data Analytics course by IBM
• Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman

Books

• Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, and Mark A. Hall
• Big Data Analytics: A Hands-On Approach by Arshdeep Bahga and Vijay Madisetti

Exam Papers

• Midsem
  • Link 1
• Endsem
  • Link 1
• Quizzes
  • Link 1