It really depends on what you want to do. If you’re looking to be a data engineer, you can get away without knowing a lot of the mathematics behind data science.
But generally speaking, you want to have the following skill set:
 Probability & Statistics background  you should be comfortable with the basics, but also have a solid understanding of statistical inference.
 Coding background  data science involves a lot of computational tools, so you should be very comfortable with at least one language. I recommend Python and R.
 Linear Algebra background  vectors, matrices, and all the operations that accompany them are particularly important for machine learning.
 Calculus background  a lot of the stats and linear algebra require calculus background. If you’re interested in deep learning, you should also be comfortable with the chain rule and other calc techniques.
It is not necessarily required for professionals to have prior experience with data science.
You could be a student or a recent graduate with an interest in data science and a desire to gain handson experience in the subject.

Educational: The profile of a data scientist varies depending on the expert level and your educational and experience background. To pursue a data science course, you must have at least a Bachelor’s degree.

Mathematical: Professionals and students from various fields such as computer science, engineering, economics, mathematics, operations research, and research work in the business development industry. Not everything mentioned is required for a professional career in data science. The most important thing is to have a thorough understanding of mathematical and statistical principles.

Programming: You don’t have to be an expert programmer to do this but you need an ability to understand various programing concepts.

SQL: One of the most important tools for learning data science programming is SQL, or structured query language.
You also need nontechnical skills like Business Acumen, Management Principles, Communication, Data Intuition.
You can try our courses on data science to learn more