Candidates who are self-motivated to work on problem solving through statistics and mathematical models should seek for a rewarding career in the field of data science. Given that there are no short-term returns in this field; candidates must be sufficiently patient to work through multiple alternatives, interact with business to understand their key priorities, and finally deliver the solutions that cater to their problems.
From a technical perspective, students who loved mathematics & statistics in their school days and wishes to play with these in their professional life as well are most welcomed in this field.
Everyone can learn data science, it just depends on your background and how much energy and effort you are willing to invest in your journey to become a data scientist.
Generally, your journey to become a data scientist would be much easier if you possess the following:
- A solid background in an analytical discipline such as mathematics, physics, computer science, or engineering.
- A basic understanding of computer programming, e.g. Python and R.
- You love solving challenging programs.
- You love working with data and writing programs to analyze the data.
- You are patient enough to keep working even when project seems to have hit a road block.