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Mathematics and coding are equally important in data science, but if you are considering to switch or start your career in the data science field; coding or programming skills are more important than deep dive to the math for various kinds of machine learning models. You should start to do more real-world projects, and able to present and answer questions clearly during the interview will definitely increase your chance to get into data science. Always remember that getting into data science is hard, but remember not to give up and continue to work hard through coding projects. (Source)

"**Data Science is not all about knowing how to derive or solve mathematics equations**. More importantly, it is to **know how to define and solve the business problem through coding & automation**."

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