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