Throughout this book, we have worked with various datasets from different sources with guided instructions. It doesn't have to stop here, though. This section is dedicated to some resources that can be used to continue with guided instruction and, eventually, work toward building a model for a predefined problem.
DataCamp (https://www.datacamp.com/), while not entirely free, provides various data science courses in Python. They include instructional videos and fill-in-the-blank coding practice problems so that you can build up your understanding of the topics.
Kaggle (https://www.kaggle.com/) offers content for learning data science, datasets for exploration that are shared by members of the community, and competitions that have been posted by companies—perhaps the Netflix recommendation contest sounds familiar (https://www.kaggle.com/netflix...