You may have thought that getting into data science requires a strong background in statistics and programming. However, having a fancy degree is not as important as hands on practical experience. While having a decorated educational background will certainly help, it is not at all
necessary as long as you have the dedication and discipline required to learn new concepts from scratch.
Data Science is a very large and complex field which requires many different skills. Programming is just one of them. There are a plethora of other non technical skills as well that can help you along your data science journey. Problem solving and communication skills, which can be acquired through experience in any industry, also play a critical role in data science.
If you are just getting into data science, you may think that the entire field is all about building predictive models. While predictive models are certainly important, the day to day work of a data scientist involves much more than just modeling and programming. For example, being able to understand your problem statement and create a good hypothesis is also a part of the process.
Getting practical experience is the best and most important way to get started and learn how data science projects work. There are all kinds of projects to pick up and get started applying data science methods. Hard work and practical data science experience will put you on the fast track to reaching your career goals.