In response to criticism from UC Davis professor Norman Matloff, a UCLA professor of statistics and data science argues that data science education is essential and should not be dismissed. They emphasize that data science encompasses more than just mathematics and that statistical concepts should be taught early on, before traditional mathematics. They point out the low percentage of high school students who continue to Algebra II and suggest that an outdated curriculum is to blame, not data science. The professor also questions whether the quadratic equation holds the same value as the practical knowledge gained in data science courses.
In a separate letter, another writer supports the decision to no longer allow data science as a substitute for Algebra II. They argue that data science complements algebra but is not a replacement. They highlight the need for more STEM instructors who understand the challenges faced by underrepresented students and who can provide pathways to success for all students.
