杀死数学，让入门课程诞生
Kill The Math and Let the Introductory Course Be Born
摘要：
我们的统计学和数据科学入门课程使用了太多数学。我们的学生希望我们的课程具有的关键因果效应是提高他们未来的表现和机会。他们的计算技能（在数据分析方面）越专业，他们成功的可能性就越大。除了简单的代数之外，入门课程应该几乎没有数学/统计公式。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
