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Week - 1 |
Introduction to Data Mining and Knowledge Discovery in Databases (KDD) Process |
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Week - 2 |
Data Warehouse Architecture and Basic Concepts |
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Week - 3 |
Data Preprocessing Processes 1: Data Cleaning Algorithms |
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Week - 4 |
Data Preprocessing Processes 2: Data Integration, Transformation, and Reduction |
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Week - 5 |
Exploratory Data Analysis (EDA): Basic Statistical Summaries |
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Week - 6 |
Data Visualization Techniques and Tools |
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Week - 7 |
Data Visualization Techniques and Tools |
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Week - 8 |
Association Rule Extraction: Frequent Itemsets and Market Basket Analysis |
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Week - 9 |
Association Rule Algorithms: Apriori Algorithm Applications |
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Week - 10 |
Clustering Analysis 1: Partitioning Methods and K-Means Clustering |
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Week - 11 |
Clustering Analysis 2: Hierarchical Clustering and Density-Based Methods |
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Week - 12 |
Anomaly (Outlier) Detection and Distance-Based Approaches |
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Week - 13 |
Data Mining Applications: Web Mining and Text Mining |
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Week - 14 |
Introduction to Big Data Systems |