Immanuel Williams PhD

Immanuel Williams PhD

Lecturer of Statistics

GATO365 Learning Center & Cal Poly San Luis Obispo

Biography

Immanuel Williams is the founder and CEO of GATO365 Learning Center and a lecturer in the statistics department at California Polytechnic State University-San Luis Obispo. I have a deep passion for teaching data science to students of all ages. I have experience teaching data carpentry, statistics, and machine learning to students from middle school through college

Download my resumé.

Interests
  • Data Science & Statistical Education
  • Psychometrics
  • Game Theory
Education

  • PhD in Educational Measurement & Statistics, 2017

    Rutgers University

  • MS in Statistics, 2013

    Rutgers University

  • BSc in Mathematics, 2013

    University of Maryland Baltimore County

Recent Posts

Teaching the future
I love teaching! My HIGH School intern was able to create this R-Shiny (Web Application). I provided him the data and he went to work. He spent about 3 weeks designing the R Shiny and making it look nice.
Last updated on Jul 17, 2022 1 min read r shiny, data science, statistics, Cal Poly, Admission
My memory of e...
Learning
Last updated on Jun 17, 2022 1 min read
Popular Questions from students during High School Data Science Presentations
After giving more than 6 data science presentations in California these are some common questions I have received as well as my answers. I hope to post more solutions in the future!
Last updated on May 23, 2022 2 min read data science, statistics, gato365
I listen to the Roots
As I am writing this post, I am listening to Lazy Afternoon by the Roots and I am reminiscence my college years. Those were the days! But on a different note I would like to analyze how The Roots changed in terms of their music regarding one of their first albums (Do You Want More?
Last updated on Apr 30, 2022 3 min read the roots, data science, statistics, data visualizations
I listen to the Roots
Testing Embedded R Shiny
Learning
Last updated on May 9, 2022 1 min read
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