Data
scientists follow a certain process to understand the world,
and it's called the Data Science Life Cycle.
In this course, you'll learn more about this
process and what each stage of it entails.
But for now, I'll give you a quick preview.
The first stage of the data lifecycle is to formulate a
question you have or a problem you want to solve.
Next, you acquire and clean data that is relevant to your
question or problem.
Third, you conduct exploratory data analysis.
Fourth, you would use prediction and inference to draw conclusions
from the data.
Now, it's common for you to discover more questions you have
or problems you need to solve after the fourth stage.
So you would go through the process repeatedly,
and that's why there's a positive feedback loop.
The data science lifecycle is critical to how data scientists
approach their work,
and now you know the major stages of this process.