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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 6. Developing a plan

This chapter covers

  • Assessing what you’ve learned in the preliminary phases of the project
  • Revising the goals of the project based on new information
  • Realizing when you should redo prior work
  • Communicating new information to the customer and getting feedback
  • Developing a plan for the execution phase

Figure 6.1 shows where we are in the data science process: beginning the build phase by formal planning. Throughout this book, I’ve stressed that uncertainty is one of the principle characteristics of data science work. If nothing were uncertain, a data scientist wouldn’t have to explore, hypothesize, assess, discover, or otherwise apply scientific methods to solve problems. Nor would a data scientist need to ...

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