1/1/2024 0 Comments Basic data of scienceMany of the areas will be developed and covered in educational courses or formal business trainings. These are more required skills that you typically see listed closer to the top of job descriptions for data scientists. Srinivasa Raghavan, Chief Global Data Scientist at Infosys. "Data science is more than just number crunching: it is the application of various skills to solve particular problems in an industry," explains Dr. It’s one thing to know your way around data, but data scientists should deeply understand the business-enough to solve current problems and consider how data can support future growth and success. Translate data into results that work for the organizationĭata scientists perform double duty: not only must they know about their own field and how to navigate data, but they must know the business and field in which they work.Know what organizational problems need to be solved and why.Understand the business and its special needs.Data science is about discovering underlying truths and successful scientists will never settle for “just enough,” but stay on the hunt for answers. Constantly ask “why” - because one answer is usually not enoughĪ data scientist must have intellectual curiosity and a drive to find and answer questions that the data presents, but also answer questions that were never asked.Think creatively with a drive to know more.Dive deeper than surface results and initial assumptions.Problem solvers easily identify tricky issues that are sometimes hidden, and then they quickly pivot to how they’ll address it and what methods will provide the best answers. However, being an effective problem solver is as much a desire to dig to the root of an issue as it is knowing how to approach a problem to solve it. That’s precisely what data science is all about. You can’t be a data scientist without the skill or desire to solve problems.
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