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Foundations of Statistics and Data
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Module 6
Data Cleaning and Transformation
Missing Data: Strategies and Techniques
Describe and apply common strategies for handling missing values, such as deletion and imputation.
Outlier Treatment Techniques
Apply techniques for treating outliers, such as removal, capping, or transformation.
3
Data Rescaling with Normalization
Apply normalization (e.g., Min-Max scaling) to rescale data into a fixed range.
4
Z-Scores and the Normal Distribution
Explain the goal of standardization (Z-score scaling) and its relationship to the normal distribution.
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Analyzing Relationships Between Variables
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Fundamentals of Probability