My primary educational goal is to enhance statistical literacy and communication among my students. To me, statistical literacy means combining careful data analysis with scientific expertise to grapple with problems. Given the quantity of data available today, I want my students to learn how to engage in the type of quantitative reasoning and decision making necessary for understanding applications in the sciences, business, and public policy. Going beyond the didacticism of basic statistical literacy, I strive to inform students about the fundamental role statistics plays in the comprehension of real-world phenomena across disciplines and to motivate them to use this knowledge in their daily lives. Finally, I endeavor to cultivate curiosity in my students and to create an open and nurturing learning environment. This conception of my role as a pedagogue has informed the choices I have made in the design and implementation of my courses, and I work every day to inspire my students to develop a similar view. Beyond statistics, I feel strongly that it is important to connect with students from backgrounds that do not come to college with the same financial resources, cultural capital, and training as more privileged demographics.

Future courses

STAT 406 Methods for Statistical Learning

STAT 547 Topics in Statistics

Links to materials from old courses

At Indiana University, Bloomington

  • S100 Statistical Literacy (Sp20)

  • S432 Applied Linear Models II (Sp16) (Sp17) (Sp18)(Sp20)

  • S771/S772/785 Seminar on Statistical Theory (Fa16) (Sp17)(Fa19–Sp20)

  • S782 Topics in Statistical Learning Theory (Fa17)

At the University of Chicago, Booth School of Business

  • 41-911 Advanced Econometrics (Aut18)

At the Institute for New Economic Thinking

  • Short Course on Machine Learning (Sp13) (Sp15) — As part of the Young Scholars Institute at the INET Hong Kong conference from 2–3 April 2013, Darren Homrighausen and I taught a course on statistical learning. I retaught the course in New York, 24–26 February 2015.

Daniel J. McDonald © 2020. All rights reserved.

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