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Foundations of Statistics and Data
·
Module 5
Analyzing Relationships Between Variables
1
Scatter Plots: Visualizing Relationships
Create and interpret scatter plots to visualize the relationship between two quantitative variables.
2
Calculating and Interpreting Covariance
Calculate and interpret the covariance between two variables.
3
Pearson Correlation Coefficient: Calculation and Interpretation
Calculate and interpret the Pearson correlation coefficient.
4
Correlation vs. Causation
Distinguish between correlation and causation with illustrative examples.
5
Data Integration with Joins and Concatenation
Combine multiple datasets using common integration techniques such as joins or concatenation.
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Exploratory Data Analysis and Visualization
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Data Cleaning and Transformation