Mine Çetinkaya-Rundel
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Turkish mathematician
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Mine Çetinkaya-Rundelmathematics Degrees
Mathematics
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Applied Mathematics
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#555
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Statistics
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Measure Theory
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Mathematics
Mine Çetinkaya-Rundel's Degrees
- Bachelors Mathematics Bilkent University
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Why Is Mine Çetinkaya-Rundel Influential?
(Suggest an Edit or Addition)According to Wikipedia, Mine Çetinkaya-Rundel is a Turkish-American statistician and professor of the practice at Duke University, and a professional educator at RStudio. She is the author of several open source statistics textbooks and is an instructor for Coursera. She is the chair-elect of the Statistical Education Section of the American Statistical Association. Previously, she was a senior lecturer at University of Edinburgh.
Mine Çetinkaya-Rundel's Published Works
Published Works
- Understanding the massive open online course (MOOC) student experience: An examination of attitudes, motivations, and barriers (2017) (233)
- R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics (2014) (114)
- Sexually Coercive Male Chimpanzees Sire More Offspring (2014) (68)
- Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum (2018) (32)
- A Fresh Look at Introductory Data Science (2020) (21)
- Implementing Version Control With Git and GitHub as a Learning Objective in Statistics and Data Science Courses (2020) (12)
- Web Scraping in the Statistics and Data Science Curriculum: Challenges and Opportunities (2020) (10)
- Teaching Statistical Thinking in the Data Deluge (2014) (8)
- Analysis of adult learner sense of community in online classes (2018) (7)
- OpenIntro Statistics: an Open-source Textbook (2013) (5)
- Real-World Simulation of an Alternative Retinopathy of Prematurity Screening System in Thailand: A Pilot Study. (2018) (4)
- Taking A Chance in the Classroom: A Celebration of Data (2013) (4)
- Taking a Chance in the Classroom: Five Concrete Reasons Your Students Should Be Learning to Analyze Data in the Reproducible Paradigm (2014) (4)
- Tools and Recommendations for Reproducible Teaching (2022) (4)
- Tidy Statistical Inference [R package infer version 0.5.3] (2020) (4)
- Big Data Goes to College (2014) (3)
- Computing Infrastructure and Curriculum Design for Introductory Data Science (2019) (3)
- infer: An R package for tidyverse-friendly statistical inference (2021) (3)
- From Drab to Fab: Teaching Visualization via Incremental Improvements (2020) (2)
- Teaching Introductory Statistics with DataCamp (2020) (2)
- 5Ws AND 1H OF TERM PROJECTS IN THE INTRODUCTORY DATA SCIENCE CLASSROOM (2022) (2)
- Taking a Chance in the Classroom: Looking Good on Course Evaluations (2013) (1)
- 1 Introduction to R and RStudio | OpenIntro Statistics: Labs for R (2018) (1)
- Building Bridges for Data Science Education (2019) (1)
- DataFest Shows Spike in Growth, Provides Immersive Experience (2017) (1)
- Taking a Chance in the Classroom: La Quinta is Spanish for “Next to Denny's” (2016) (1)
- Taking a Chance in the Classroom: The Real Secret to Genius? Reading Between the Lines (2014) (1)
- Taking a Chance in the Classroom: Exploring Google's Transparency Report (2012) (1)
- Interactivity online and on-campus: Data Analysis and Statistical Inference (2015) (0)
- Taking a Chance in the Classroom: Speed Dating: Exploring Initial Romantic Attraction (2014) (0)
- The 2018 data challenge expo of the American statistical association (2023) (0)
- 6.1 Point Estimation and Sampling Distributions (2020) (0)
- 7 Inference for Categorical Data | OpenIntro Statistics: Labs for R (2018) (0)
- 2.4 Describing Quantitative Distributions (2020) (0)
- Companion Software for the Coursera Statistics with R Specialization [R package statsr version 0.2.0] (2020) (0)
- 2 Introduction to Data | OpenIntro Statistics: Labs for R (2018) (0)
- Taking a Chance in the Classroom: Making the Old New Again (2012) (0)
- 5.2 The Normal Distribution (2020) (0)
- Interview with Jim Berger (2014) (0)
- 3 The Normal Distribution | OpenIntro Statistics: Labs for R (2018) (0)
- 6.6 Hypothesis Tests In-Depth (2020) (0)
- 8 Introduction to Linear Regression | OpenIntro Statistics: Labs for R (2018) (0)
- Analyzing and Recreating Data Visualizations of W.E.B. Du Bois (2023) (0)
- OpenIntro Statistics: Labs for R (2018) (0)
- Report Sexually Coercive Male Chimpanzees Sire More Offspring (2014) (0)
- Mathematical Phrases, Symbols, and Formulas (2013) (0)
- 1 Working Efficiently with RStudio | OpenIntro Statistics: Labs for R (2018) (0)
- Teaching data analysis in R through the lens of reproducibility (2015) (0)
- Teaching Statistics in the Health Sciences: Teaching to, and Learning from, the Masses (2019) (0)
- Taking a Chance in the Classroom: Uncounted Votes: A Case Study in Analyzing Aggregated Data (2012) (0)
- Data on the States and Counties of the United States [R package usdata version 0.1.0] (2020) (0)
- Data Sets and Supplemental Functions from 'OpenIntro' Textbooks and Labs [R package openintro version 2.0.0] (2020) (0)
- Taking a Chance in the Classroom: The American Community Survey (2013) (0)
- Online Statistics Teaching and Learning (2020) (0)
- Response: C-RDB (2013) (0)
- 4 Foundations for Statistical Inference - Sampling Distributions | OpenIntro Statistics: Labs for R (2018) (0)
- 5 Confidence Intervals - Foundations for Statistical Inference | OpenIntro Statistics: Labs for R (2018) (0)
- COVID-19 Data in the Classroom (2020) (0)
- Taking a Chance in the Classroom: A Classroom Project for Generation Z (2014) (0)
- Teaching Courses Focused on Social Good (2021) (0)
- 9 Multiple Linear Regression | OpenIntro Statistics: Labs for R (2018) (0)
- Taking a Chance in the Classroom: An Interview with Mine Çetinkaya-Rundel (2017) (0)
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