Summary

In this chapter, we sketched how a database (or data) developer thinks on a day-to-day, problem-solving basis, comparing the mindsets of a data developer and a data scientist, using various practical examples.

We also listed some of the advantages of thinking as a data scientist and finally discussed common themes for you to focus on as you gain an understanding of statistics and transition into the world of data science.

In the next chapter, we will introduce and explain (again, from a developer's perspective) the basic objectives behind statistics for data science and introduce you to the important terms and key concepts (with easily understood explanations and examples) that are used throughout the book.