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Week - 1 |
Introduction to data and data analytics, classification and history of data analytics |
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Week - 2 |
Basic definitions and management of different data types |
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Week - 3 |
Data collection |
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Week - 4 |
Exploratory data analysis: Univariate, bivariate and multivariate analysis |
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Week - 5 |
Data quality and preprocessing |
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Week - 6 |
Missing data problems and solution methods in different types of data |
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Week - 7 |
Outlier data and detection methods |
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Week - 8 |
Data manipulation (Transformation, rescaling) |
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Week - 9 |
Data visualization (Visualization in univariate, bivariate and multivariate datasets, word cloud, infographic, dashboard, storytelling) |
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Week - 10 |
Dimensionality reduction (Data fusion, principal component analysis) |
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Week - 11 |
Feature selection (Filtering and wrapping based methods) |
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Week - 12 |
Frequent pattern mining (Frequent item sets, association rules) |
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Week - 13 |
Resampling in imbalanced data sets (Oversampling and undersampling methods) |
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Week - 14 |
Project presentations |
Eskisehir Technical University Info Package 
Turkish 
English