我们的统计学和数据科学入门课程使用太多的数学。我们的学生希望我们的课程能够提高他们未来的绩效和机会。他们(在数据分析方面的)计算技能越专业,他们成功的可能性就越大。此入门课程除了简单的代数之外,几乎没有数学/统计公式。
Our introductory classes in statistics and data science use too much mathematics. The key causal effect which our students want our classes to have is to improve their future performance and opportunities. The more professional their computing skills (in the context of data analysis), the greater their likely success. Introductory courses should feature almost no mathematical/statistical formulas beyond simple algebra.
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