Part 1. Introduction to data science
In part 1, we concentrate on the most essential tasks in data science: working with your partners, defining your problem, and examining your data.
Chapter 1 covers the lifecycle of a typical data science project. We look at the different roles and responsibilities of project team members, the different stages of a typical project, and how to define goals and set project expectations. This chapter serves as an overview of the material that we cover in the rest of the book and is organized in the same order as the topics that we present.
Chapter 2 dives into the details of loading data into R from various external formats and transforming the data into a format suitable for analysis. It also discusses the ...
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