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That's a good question Raindial đź‘Ź
Data science involves using interdisciplinary methods like statistics and machine learning to extract insights and knowledge from data, often focusing on predictive modeling.
Data analytics, on the other hand, concentrates on analyzing data to derive specific insights for informed decision-making.
For example, a data scientist might build a predictive model to forecast customer churn rates for a telecom company, while a data analyst might analyze customer behavior data to identify patterns influencing purchasing decisions.
Hope this answers your question Raindial! Have fun on your learning journey! ✨
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Currently I am working as a tester now, and looking to get trained in Data scientist.
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