https://mine-cr.com/ Recent content on Mine Çetinkaya-Rundel Hugo -- gohugo.io en Mon, 01 Jan 2024 00:00:00 +0000 https://mine-cr.com/teaching/sta199/ Mon, 01 Jan 2024 00:00:00 +0000 https://mine-cr.com/teaching/sta199/ Intro to data science and statistical thinking. Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, and data visualization, and effective communication of results. Work on problems and case studies inspired by and based on real-world questions and data. The course will focus on the R statistical computing language. https://mine-cr.com/teaching/sta313/ Mon, 01 Jan 2024 00:00:00 +0000 https://mine-cr.com/teaching/sta313/ STA 313 - Advanced Data Visualization is all about the art and science of visualizing data. Three themes (what, why, and how) will run alongside each other as we cycle through the course topics. In “what” we focus on specific types of visualizations for a particular purpose (e.g. maps for spatial data, Sankey diagrams for proportions, etc.) as well as the tooling to produce them (e.g. specific R packages). In “how” we focus on the process – each visualization starts with a design (which we’ll often ask you to do with a rough sketch accompanied by pseudo code), then often needs pre-processing of the data (wrangling, reshaping, joining, etc. https://mine-cr.com/teaching/sta101/ Fri, 01 Sep 2023 00:00:00 +0000 https://mine-cr.com/teaching/sta101/ This course introduces students to the discipline of statistics as a science of understanding and analyzing data. Themes include data collection, exploratory analysis, inference, and modeling. Focus on principles underlying quantitative research in social sciences, humanities, and public policy. Research projects teach the process of scientific discovery and synthesis and critical evaluation of research and statistical arguments. Readings give perspective on why in 1950, S. Wilks said, “Statistical thinking will one day be as necessary a qualification for efficient citizenship as the ability to read and write. https://mine-cr.com/talk/2022-superpowers-ecots/ Wed, 25 May 2022 12:00:00 +0000 https://mine-cr.com/talk/2022-superpowers-ecots/ Keynote https://mine-cr.com/talk/2022-modern-regression-ecots/ Mon, 23 May 2022 15:30:00 +0000 https://mine-cr.com/talk/2022-modern-regression-ecots/ Breakout Session https://mine-cr.com/talk/2022-teach-ds-responsible-uiuc/ Fri, 08 Apr 2022 10:00:00 +0000 https://mine-cr.com/talk/2022-teach-ds-responsible-uiuc/ https://mine-cr.com/talk/2022-tidyperspective-dagstat/ Tue, 29 Mar 2022 10:00:00 +0000 https://mine-cr.com/talk/2022-tidyperspective-dagstat/ https://mine-cr.com/talk/2022-rstudio-cloud-demo/ Fri, 21 Jan 2022 11:30:00 +0000 https://mine-cr.com/talk/2022-rstudio-cloud-demo/ Webinar https://mine-cr.com/talk/2022-duplicates-iterations-data-visuality/ Thu, 20 Jan 2022 11:30:00 +0000 https://mine-cr.com/talk/2022-duplicates-iterations-data-visuality/ Panel https://mine-cr.com/talk/2022-coding-out-loud-2/ Tue, 11 Jan 2022 13:30:00 +0000 https://mine-cr.com/talk/2022-coding-out-loud-2/ Duke CCT Learning Experience https://mine-cr.com/teaching/sta210/ Thu, 06 Jan 2022 00:00:00 +0000 https://mine-cr.com/teaching/sta210/ Learn approaches for analyzing multivariate data sets, emphasizing analysis of variance, linear regression, and logistic regression. Learn techniques for checking the appropriateness of proposed models, such as residual analyses and case influence diagnostics, and techniques for selecting models. Gain experience dealing with the challenges that arise in practice through assignments that utilize real-world data. This class emphasizes data analysis over mathematical theory. https://mine-cr.com/talk/2021-rstudio-cloud-whyr/ Fri, 10 Dec 2021 11:30:00 +0000 https://mine-cr.com/talk/2021-rstudio-cloud-whyr/ Keynote https://mine-cr.com/talk/2021-ims-amatyc/ Wed, 08 Dec 2021 12:00:00 +0000 https://mine-cr.com/talk/2021-ims-amatyc/ Invited https://mine-cr.com/talk/2021-coding-out-loud-1/ Tue, 30 Nov 2021 13:30:00 +0000 https://mine-cr.com/talk/2021-coding-out-loud-1/ Duke CCT Learning Experience https://mine-cr.com/talk/2021-eat-cake-diz/ Thu, 18 Nov 2021 12:00:00 +0000 https://mine-cr.com/talk/2021-eat-cake-diz/ Invited https://mine-cr.com/talk/2021-ds-art-sci-uoe-bio/ Thu, 11 Nov 2021 09:00:00 +0000 https://mine-cr.com/talk/2021-ds-art-sci-uoe-bio/ Invited https://mine-cr.com/talk/2021-data-viz-nc/ Tue, 09 Nov 2021 14:30:00 +0000 https://mine-cr.com/talk/2021-data-viz-nc/ Invited https://mine-cr.com/talk/2021-improve-workflow-repro-science-oss/ Thu, 28 Oct 2021 10:30:00 +0000 https://mine-cr.com/talk/2021-improve-workflow-repro-science-oss/ Invited https://mine-cr.com/talk/2021-customize-rmd-stl/ Tue, 26 Oct 2021 13:30:00 +0000 https://mine-cr.com/talk/2021-customize-rmd-stl/ Invited https://mine-cr.com/publication/ Tue, 21 Sep 2021 00:00:00 +0000 https://mine-cr.com/publication/ Books Çetinkaya-Rundel M., Hardin J. OpenIntro: Introduction to Modern Statistics (1st Ed). 2021. Diez D.M., Çetinkaya-Rundel M., Barr C.D. OpenIntro: Statistics (4th Ed). 2019. Diez D.M., Çetinkaya-Rundel M., Dorazio, L., Barr C.D. OpenIntro: Advanced High School Statistics (2nd Ed). 2019. Clyde M., Çetinkaya-Rundel M., Rundel C., Banks D., Chai C., Huang L. An Introduction to Bayesian Thinking - A Companion to the Statistics with R Course. https://mine-cr.com/talk/2021-introds-forall-online-rss/ Wed, 08 Sep 2021 09:20:00 +0000 https://mine-cr.com/talk/2021-introds-forall-online-rss/ Invited https://mine-cr.com/talk/2021-openintro-os-jsm/ Mon, 09 Aug 2021 13:30:00 +0000 https://mine-cr.com/talk/2021-openintro-os-jsm/ Invited https://mine-cr.com/teaching/ids/ Tue, 01 Sep 2020 00:00:00 +0000 https://mine-cr.com/teaching/ids/ Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner. Gain experience in data collection, wrangling, and visualization, exploratory data analysis, predictive modeling, and effective communication of results while working on problems and case studies inspired by and based on real-world questions. The course will focus on the R statistical computing language. No statistical or computing background is necessary. https://mine-cr.com/project/datasciencebox/ Wed, 01 Jan 2020 00:00:00 +0000 https://mine-cr.com/project/datasciencebox/ Data Science in a Box is a repository for open-source course materials for a semester-long, college-level, introductory data science course that teaches R. Data Science in a Box contains the materials required to teach (or learn from) a semester-long, college-level, introductory data science course that teaches R, all of which are freely-available and open-source. The materials include course slide decks, lecture and live coding videos, homework assignments, guided labs, sample exams, a final project assignment, as well as resources for instructors such as pedagogical tips, information on computing infrastructure, technology stack, and course logistics. https://mine-cr.com/contact/ Mon, 25 Feb 2019 13:38:41 -0600 https://mine-cr.com/contact/ ** Contact page don’t contain a body, just the front matter above. See form.html in the layouts folder. Formspree requires a (free) account and new form to be set up. The link is made on the final published url in the field: Restrict to Domain. It is possible to register up to 2 emails free and you can select which one you want the forms to go to within Formspree in the Settings tab. https://mine-cr.com/talk/2018-eat-cake-harvard/ Sun, 09 Sep 2018 12:00:00 +0000 https://mine-cr.com/talk/2018-eat-cake-harvard/ Invited https://mine-cr.com/teaching/sta112/ Sat, 01 Sep 2018 00:00:00 +0000 https://mine-cr.com/teaching/sta112/ Intro to data science and statistical thinking. Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, and data visualization, and effective communication of results. Work on problems and case studies inspired by and based on real-world questions and data. And do it all with R! https://mine-cr.com/project/openintro/ Mon, 01 Jan 2018 00:00:00 +0000 https://mine-cr.com/project/openintro/ OpenIntro offers open-source and free textbooks for introductory statistics and data science curricula at the high school and undergraduate levels, as well as supporting resources like slides, videos, and more. The OpenIntro project was founded in 2010 with a mission to make educational products that are free, transparent, and lower barriers to education. As part of this project I have co-authored four textbooks: Introduction to Modern Statistics, with Johanna Hardin OpenIntro Statistics, with David Diez and Chris Barr Advanced High School Statistics, with David Diez, Leah Dorazio, and Chris Barr Introductory Statistics with Randomization and Simulation, with David Diez and Chris Barr I also develop and maintain supplementary materials, including https://mine-cr.com/project/ptt/ Mon, 01 Jan 2018 00:00:00 +0000 https://mine-cr.com/project/ptt/ Preparing to Teach is designed for graduate students and recent PhDs interested in careers in teaching statistics and data science. This is a one-day workshop to prepare current and recent graduate students for a future role as faculty responsible for teaching statistics and data science to undergraduate students across a variety of disciplines. We envision workshop participants become capable of developing innovative and pedagogically-sound learning experiences for their students inside and outside the classroom and using formative and summative assessment to guide their instructional practice. https://mine-cr.com/teaching/artssci101/ Wed, 01 Jun 2016 00:00:00 +0000 https://mine-cr.com/teaching/artssci101/ The field of public health seeks to promote the healthiest lives possible of people and communities. In this class, we will discuss, analyze, and write about complex issues in public health, including smoking, breast cancer screening, physical activity, vaccination, and health disparities through the lens of statistical and scientific reasoning. We will use the scientific literature as a basis for discussion of these issues and to illustrate academic writing and statistical concepts. https://mine-cr.com/license/ Mon, 01 Jan 0001 00:00:00 +0000 https://mine-cr.com/license/ The source code for this page is released under a Creative Commons Attribution-ShareAlike 4.0 International License. For linked content, see individual license files.