From the course: Problem Identification and Solution Design for Data Scientists
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What's next in problem identification and solution design for data scientists
From the course: Problem Identification and Solution Design for Data Scientists
What's next in problem identification and solution design for data scientists
- [Instructor] I want to thank you for joining me for our discussion of effective problem definition. I have found that it's often the difference between successful and unsuccessful projects. Now it's always a good idea to apply what you've learned as soon as possible. Consider this option, find a data science colleague and role play some of the questions that we discussed for an upcoming project or, and this might be even better, role play the questions for a previous project. Might you have caught a problem earlier if you had asked the questions in this way? When you're ready for more learning, I'd suggest reading "CRISP-DM" in its entirety. A good companion to that is my course about the entire project lifecycle, and it also discusses more about "CRISP-DM." It's Predictive Analytics Essential Training: Data Mining or now that we've just discussed business understanding in detail, you could proceed to do a deep dive into the second phase of "CRISP-DM", data understanding. By…
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