Week - 1 |
Introduction to Data Science and Big Data |
Week - 2 |
Programming for Data Processing and Analysis |
Week - 3 |
Data Cleansing, Preparation and Visualization |
Week - 4 |
Scalable Data Analysis: Theories and Tools |
Week - 5 |
Machine Learning for Big Data |
Week - 6 |
Distributed Systems and Parallel Processing |
Week - 7 |
Big Data Frameworks like Hadoop and Spark |
Week - 8 |
NoSQL Databases and Scalable Storage Solutions |
Week - 9 |
Cloud Computing and Big Data |
Week - 10 |
Data Lakes and Data Storage Architect |
Week - 11 |
Data Security and Privacy |
Week - 12 |
Performance and Optimization Techniques |
Week - 13 |
Scalability Issues and Solutions |
Week - 14 |
Project Presentations |