دانلود کتاب داده کاوی و اکتشاف – از آمار سنتی تا علم داده مدرن

The following story is fictional, but to a certain extent it is “true.” Karl Fisher earned his Ph.D. in statistics in 1981. After graduation he became a professor of statistics and research methods at a prestigious university. His course covered all essential concepts and procedures in the field, including t-test, ANOVA, Pearson’s correlation, ordinary least square (OLS) regression, Chi-square analysis, multivariate procedures, and others. In 1991 tragedy struck the young professor when he was severely injured in a car accident. He fell into a deep coma for three decades. In 2021, he woke up and miraculously regained all his cognitive abilities, but he was afraid that he would be unable to find a job due to a 30-year gap in familiarity with advancements in the field. However, after reviewing several syllabi and textbooks, his confidence was soon restored because he found that the contents of statistical education remained unchanged. The introductory course deals with t-test, ANOVA, Pearson’s correlation, OLS regression, Chi-square analysis, whereas the advanced course covers stepwise regression, logistic regression, and exploratory factor analysis. More importantly, experimentation and hypothesis testing are still treated as the gold standard of statistics.