University of cincinnati data analysis methods zen

STAT 316 Design of Experiments (4) NW Introduction to the analysis of data from planned experiments. Basic concepts of hypothesis testing, estimation, and confidence intervals t-tests and chi-square tests. Introductory concepts of probability and sampling binomial and normal distributions. Descriptive statistics including correlation and regression. STAT 311 Elements of Statistical Methods (5) NW, QSR Elements of good study design. Evaluates statistical frameworks for balancing fairness and privacy with efficiency.

Examines how algorithms interact with social categories including race, class, and gender - preserving or reshaping existing inequities. Examples from medicine, education, and criminal justice. STAT 303 Introduction to the Ethics of Algorithmic Decision Making (3) DIV Ethical and social implications of design, implementation, and interpretation of statistical decision-making algorithms.

Prerequisite: either STAT 311, STAT 390, or Q SCI 381 recommended: previous coursework in R programming language. Topics are motivated by methods in statistics and machine learning. Topics include programming fundamentals, data cleaning, data visualization, debugging, and version control. STAT 302 Statistical Computing (3) An introduction to the foundations of statistical computing and data analysis. Consult the Admissions Exams for Credit website for more information. STAT 290 Advanced Placement (AP) Statistics (5) NW, QSR Course awarded based on Advanced Placement (AP) score. Offered: jointly with CS&SS 221/SOC 221 AWSp. May only receive credit for one of STAT 220, STAT 221/CS&SS 221/SOC 221, or STAT 290. Emphasizes social science examples and cases.

Examines objectives & pitfalls of statistical studies study designs, data analysis, inference graphical & numerical summaries of numerical &categorical data correlation and regression estimation, confidence intervals, & significance tests. STAT 221 Statistical Concepts and Methods for the Social Sciences (5) NW, QSR Develops statistical literacy. May only receive credit for one of STAT 220, or STAT 221/CS&SS 221/SOC 221, or STAT 290. Encourages and requires critical thinking. Helps students gain an understanding of the rationale behind many statistical methods, as well as an appreciation of the use and misuse of statistics. Focuses primarily on the what and why rather than the how. STAT 220 Statistical Reasoning (5) NW, QSR Introduces statistical reasoning. Students will gain hands-on experience through computing labs. STAT 180 Introduction to Data Science (4) QSR Survey course introducing the essential elements of data science: data collection, management, curation, and cleaning summarizing and visualizing data basic ideas of statistical inference, machine learning. STAT 111 Lectures in Applied Statistics (1) NW Weekly lectures illustrating the importance of statisticians in a variety of fields, including medicine and the biological, physical, and social sciences. Main concepts include abduction (inference to the best explanation), consilience (numerical agreement across multiple measurement levels), bell curves, linear models, and the likelihood of hypothesis. STAT 100 Numbers and Reason (5) QSR Surveys the standard ways in which 'arithmetic turns into understanding' across examples from the natural and the social sciences. Detailed course offerings (Time Schedule) are available for

University of cincinnati data analysis methods zen