As a data scientist, you're tasked with analyzing customer behavior patterns for a retail company. How would you approach this task?
- Conduct exploratory data analysis to uncover trends and anomalies in customer data.
- Implement a rule-based system to categorize customer behavior.
- Perform A/B testing to evaluate the effectiveness of different marketing strategies.
- Utilize machine learning algorithms to identify common purchasing patterns.
Exploratory data analysis (EDA) is a crucial step in understanding the underlying patterns in the data. By examining various aspects such as customer demographics, purchase history, and browsing behavior, a data scientist can identify trends and anomalies that inform strategic decision-making for the retail company. Machine learning algorithms may be employed subsequently to model and predict customer behavior based on the insights gained from EDA.
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