From the course: Data Science Foundations: Data Assessment for Predictive Modeling

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From the course: Data Science Foundations: Data Assessment for Predictive Modeling

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Next steps

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- [Keith McCormick] Now that you're done watching the course, what should be the next step on your journey? Well, you can start with putting the techniques you learned to use. Go back and try the challenge and solutions exercises. If you've completed those and want more, consider going back to the heart dataset. We've only scratched the surface. Take the original data, integrate it on your own, and try to work through all the tools we've used in the entire course. There's a lot to try. Then post your progress or questions using the Q and A feature. I try to visit course Q and A questions at least once a week. When you feel ready, consider a modeling course. I have a number of them in the library, but a great one to take after this would be Intro to Classification, which overviews a dozen different modeling algorithms. It would pair with this course nicely. And I'd like to stay in touch. I can't connect with…

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