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aimeeschwab-mccoy/README.md

Hello! My name is Aimee, and I'm a fomer statistics professor turned data science content developer and educator. I create online content for statistics, biostatistics, data science, and machine learning.

Some of my projects include:

  • Data science curriculum development 🏫
  • Learning about statistical inference in introductory biostatistics 🧬
  • Generalized linear mixed models (GLMMs) in SAS PROC GLIMMIX ➑️ R πŸ–₯
  • Developing learnr tutorials for applied statistics, data scence, and statistical theory πŸ“Š
  • Consulting projects (a little of this, a little of that) 🐝πŸ₯πŸ₯‡

Some specific coures I taught and have GitHub repos for are...

  • MTH 361: Probability and Statistics in the Health Science πŸ’‰
  • MTH 362: Statistical Modeling πŸ“š
  • MTH 365: Introduction to Data Science πŸ’»
  • MTH 366: Machine Learning πŸ€–
  • MTH 561: Mathematical Statistics I (Probability) 🎲

You can find me...

  • Twitter: @AimeeSMcCoy
  • Email: aimeeschwabmccoy @ gmail ⚫️ edu

Popular repositories

  1. MTH561 MTH561 Public

    Course materials for MTH 561: Mathematical Statistics I

    CSS 1

  2. MTH365 MTH365 Public

    Course materials for MTH 365: Introduction to Data Science

    1

  3. COVID19-Distancing COVID19-Distancing Public

  4. Talks Talks Public

    Research and conference talks

    HTML

  5. oi_biostat_labs oi_biostat_labs Public

    Forked from OI-Biostat/oi_biostat_labs

    R labs accompanying the OpenIntro Biostatistics textbook

    TeX

  6. aimeeschwab-mccoy aimeeschwab-mccoy Public