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Bringing statistics into data science

Depending on your sources and individual beliefs, you may say the following:

Statistics is data science, and data science is statistics.

To clarify this, note that there is a popular opinion that statistics might be thought of as a study or process that covers the collection, analysis, interpretation, presentation, and organization of data. As you can see, that definition is pretty similar to the data science process we described in the previous section of this chapter.

Digging deeper into this topic, one will find that statistics always involves (or a collection of) techniques or approaches used to help analyze and present data (again, this understanding could also be used to describe data science).

It is commonly accepted that the terms data science and statistics have the same meaning, at least within some circles. Again, alignment of terms and concepts is still evolving among data scientists.
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