What is the data science process? - Deepstash
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What is the data science process?

What is the data science process?

  • Ask an interesting question. What is the scientific goal?
  • Get the data. How were the data sampled?
  • Explore the data. Plot the data. Look for patterns and abnormalities.
  • Model the data. Build a model. Fit the model and validate it.
  • Communicate and visualize the results. Share the lessons.

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Phase 4: Nail the Business Model

  • Your business model is the map of how you create value and deliver it to customers. In this phase, we will conduct financial analysis to verify business viability, launch your product and go-to-market strategy, and then develop a dashboard to monitor your progress forward.

Thinking about whole services will change what your service is

  1. Understanding what your user is trying to achieve.
  2. Get a good understanding of who else delivers parts of this service and how they relate to your organization.
  3. Look at your organization’s ability to deliver all of this service; if this isn’t feasible, define what a rational ...

Applying the Heart/Will/Head model to yourself

This model is equally valuable for individuals. The more you understand why you react in a certain way, the greater control you get over those reactions, enhancing the good and reducing the weaknesses of your own type. Regularly ask yourself these questions:

  • ...

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