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Think Like a Data Scientist: Tackle the data science process step-by-step by Brian Godsey

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Chapter 1. Philosophies of data science

This chapter covers

  • The role of a data scientist and how it’s different from that of a software developer
  • The greatest asset of a data scientist, awareness, particularly in the presence of significant uncertainties
  • Prerequisites for reading this book: basic knowledge of software development and statistics
  • Setting priorities for a project while keeping the big picture in mind
  • Best practices: tips that can make life easier during a project

In the following pages, I introduce data science as a set of processes and concepts that act as a guide for making progress and decisions within a data-centric project. This contrasts with the view of data science as a set of statistical and software tools and ...

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