90% of Data Scientists Struggle with Math: Here's How to Improve

Statistics reveal that 90% of data scientists feel they need to improve their mathematical skills. Many, like those with a master’s degree focusing on R and its applications, find themselves prioritizing coding over math due to work demands. Specifically, these professionals spend a significant amount of time on data cleaning, which often leads them to neglect theoretical math. The need for a shortcut in learning math relevant to data science and statistical research methods is evident. Courses or books tailored to these needs could help bridge the gap between practical application and theoretical understanding, allowing data scientists to enhance their skills without revisiting foundational calculus and linear algebra courses.

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