Week - 1 |
What is big data?; Big data features and sources |
Week - 2 |
Big Data applications in education |
Week - 3 |
Big Data applications in education |
Week - 4 |
Accessing and recording data |
Week - 5 |
Extraction, cleaning and clarification |
Week - 6 |
Integration, aggregation and representation |
Week - 7 |
Modeling and analysis and Interpretation with Big Data |
Week - 8 |
LMS and CMS data |
Week - 9 |
Lerners interaction data |
Week - 10 |
Machine learning models |
Week - 11 |
Clustering |
Week - 12 |
Classification |
Week - 13 |
Association analysis |
Week - 14 |
Analyzes on sample datasets |