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Data

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scientists follow a certain process to understand the world,

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and it's called the Data Science Life Cycle.

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In this course, you'll learn more about this

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process and what each stage of it entails.

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But for now, I'll give you a quick preview.

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The first stage of the data lifecycle is to formulate a

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question you have or a problem you want to solve.

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Next, you acquire and clean data that is relevant to your

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question or problem.

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Third, you conduct exploratory data analysis.

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Fourth, you would use prediction and inference to draw conclusions

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from the data.

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Now, it's common for you to discover more questions you have

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or problems you need to solve after the fourth stage.

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So you would go through the process repeatedly,

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and that's why there's a positive feedback loop.

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The data science lifecycle is critical to how data scientists

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approach their work,

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and now you know the major stages of this process.