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Week - 1
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Introduction: Organization of data set, Descriptive statistics, Graphical techniques |
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Week - 2
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Multivariate Normal Distribution: Properties, Maximum likelihood estimation |
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Week - 3
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Principal Component Analysis: Dimension reduction |
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Week - 4
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Principal Component Analysis:Steps to be followed |
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Week - 5
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Introduction to Factor Analysis and comparison with Principal Component Analysis |
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Week - 6
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Factor analysis; Factor Rotation and Factor Scores |
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Week - 7
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Factor analysis; Application |
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Week - 8
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Logistic Regression and Classification |
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Week - 9
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Logit model, Binary logistic regression |
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Week - 10
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Sample review |
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Week - 11
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Multiple logistic regression |
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Week - 12
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Sample review |
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Week - 13
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Overall evaluation |
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Week - 14
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Overall evaluation |