Must Know Differences Between Data Science and Data Analytics
Pickl AI
FEBRUARY 19, 2025
For example, a data scientist might develop a machine-learning algorithm to predict customer churn, while a data analyst would analyze customer data to understand why churn occurred in the past. Banks employ sophisticated algorithms to analyze transaction patterns and identify suspicious activities in real-time.
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