Data Science and Data Analytics are two terms often used interchangeably. However, they have distinct differences that should be understood in order to use them correctly. This article will explore the key distinctions between these two disciplines of data management.
About Difference Between Data Science And Data Analytics
| Data Science | Data Analytics |
|---|---|
| Focuses on predictive modeling & machine learning | Analysis of existing data to uncover patterns |
| Uses statistical methods & algorithms | Explores datasets for insights & trends |
| Processing large amounts of structured/unstructured data | Interpreting results & making decisions |
| Develops AI-driven solutions | Identifies opportunities & risks |
| Determines best practices & strategies | Optimizes processes & operations |
| Creates new models & tools | Provides reports & visualizations |
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