From the course: R Essential Training Part 2: Modeling Data
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- [Barton] So we've come all the way through both parts of this comprehensive introduction to R, and if your experience has been anything like mine, then you've learned a lot of new and useful things and seen how you can use R to work creatively with data the same way you can work creatively with food. But what else can you do to build on this? Well I have a few specific suggestions. One of course is that in our library we have additional specialized courses on using R to perform different tasks and in different domains. I strongly encourage you to go and see the other R courses that are available. In addition, we have courses on data science and machine learning. If you want to learn more about predictive analytics or data mining, there are many other options. Build on what you've learned with R and see how you can use it in these other circumstances. Now you may have noticed I did not cover neural networks in this course…
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