Data exploration. You should have pandas functions like .corr(), scatter_matrix() , .hist() and .bar() on the tip of your tongue. You should always be looking for opportunities to visualize your data using PCA or t-SNE, using sklearn's PCA and TSNE functions.
The main thing distinguishing a blockchain from a normal database is that there are specific rules about how to put data into the database. That is, it cannot conflict with some other data that’s already in the database (consistent), it’s append-only (immutable), and the data itself is locked to an owner (ownable), it’s replicable and available. Finally, everyone agrees on what the state of the things in the database are (canonical) without a central party (decentralized).
It was designed for the industrial age of workers, where you’d specialize in one craft, and then use those same skills for the rest of your life. It was certainly not designed for today’s knowledge society, where all information of the history of the world is never more than a few clicks away, and where things change so fast that education must in fact be a life-long process, and not the learn-once-use-forever one-off experience.