Three Pitfalls for Data Scientists

Making mistakes is part of the learning process, and probably there is no way to avoid it. The important thing is to make sure we don't make the same mistake twice. This is not possible if we don't even know we are making a mistake. In the sequel, I discuss three common mistakes regarding the use of data science tools and practices. These mistakes make your work inefficient and may cause unnecessary charges.