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Course Curriculum

Data Mining
Basic Vocabulary 00:05:00
Data Attributes (Part 1) 00:05:00
Data Attributes (Part 2) 00:04:00
Basic Data Types 00:05:00
Document & Transaction Data 00:03:00
Graph & Ordered Data 00:05:00
Data Quality 00:02:00
Data Noise 00:05:00
Missing & Duplicated Data 00:04:00
Data Cleaning 00:02:00
Data Aggregation 00:05:00
Sampling for Data Selection 00:05:00
Types of Sampling 00:06:00
Dimensionality Reduction 00:04:00
Feature Subset Selection 00:06:00
Data Transformation 00:04:00
Similarity & Dissimilarity 00:04:00
Euclidean Distance & Cosine Similarity 00:05:00
Evaluating Correlation 00:03:00
Data Exploration & Visualization 00:04:00
Summary Statistics 00:04:00
Measures of Center & Spread 00:04:00
Histograms & Box Plots 00:04:00
Scatter Plots & Contour Plots 00:03:00
Fundamentals of Data Mining Quiz 00:10:00

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