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# The Data Science Lifecycle: How Raw Data Becomes Real Business Decisions

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments

## Summary

A beginner-friendly walkthrough of the data science lifecycle, covering each stage from problem definition and data collection through cleaning, exploratory data analysis, model building, evaluation, deployment, and ongoing monitoring. Uses relatable examples like Netflix recommendations and bank fraud detection to illustrate how raw data becomes actionable business decisions. Emphasizes that model building is just one part of a broader, continuous process.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@sireeshabandi08/the-data-science-lifecycle-how-raw-data-becomes-real-business-decisions-cdc927079f9c>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#data-analysis](https://daily.dev/tags/data-analysis), [#mlops](https://daily.dev/tags/mlops), [#exploratory-data-analysis](https://daily.dev/tags/exploratory-data-analysis)

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