This is the concluding chapter of our book, where we want to give you a broad overview of some of the exciting technologies and frameworks that you may need to learn beyond data wrangling to work as a full-stack data scientist. Data wrangling is an essential part of the whole data science and analytics pipeline, but it is not the whole enterprise. You have learned invaluable skills and techniques in this book, but it is always good to broaden your horizons and look beyond to see what other tools that are out there can give you an edge in this competitive and ever-changing world.
To practice as a fully qualified data scientist/analyst, you should have some basic skills in your repertoire, irrespective of the particular programming language you choose to focus on. These skills and know-hows are language agnostic and can be utilized with any framework that you have to embrace, depending on your organization and...