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Asked by Girija Sankar Last Modified
Answer 
Data science is an umbrella term for a group of fields that are used to mine large datasets. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries.
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In easy terms:
- **Analytics** looks at past data to understand trends and patterns for decision-making.
- **Data science** goes further, using advanced techniques to predict future outcomes and prescribe actions.
So, analytics is like looking in the rearview mirror to understand where you've been, while data science is like looking ahead, using what you know to plan for what's coming. Both are important for making informed decisions, but data science is a broader field with more advanced tools and techniques.
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Related Questions
Currently I am working as a tester now, and looking to get trained in Data scientist.
Will that be a good decision, if I change my stream and move to data scientist field ?
Is that possible to do machine learning course after b.com,mba Finance and marketing?
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