From the course: Data Science Methodologies: Making Business Sense

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The roadmap

The roadmap

- [Instructor] We have gone through our first sprint that has helped us assess the feasibility of our project. If we do decide to proceed, what will be our next step? Well, let us step back a bit to see our roadmap. We started with a business goal, and then translated it into one or more user stories. Since these stories are somewhat high level and hard to specify what it will take to implement them, we break them down to specific data scientist stories. I do want to point out here that I use the term data scientist a little loosely, representing all activities, skills, and roles required in a data science project. They can be data engineers, software engineers, data miners, UI designers, business analysts, and so on. This stack of stories is the product backlog. They are arranged in the order of priority. From here, we pick our top most story for our first sprint. The idea is to come up with MVP to establish project…

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