Roman Kouznetsov
  • Bio
  • Papers
  • Talks
  • Experience
  • Projects
  • Teaching
  • Volunteering
  • Publications
    • BayXenSmooth - Smooth and Spatial Bayesian Clustering for Xenium Data
    • A Graph Convolutional Network for Spatial Transcriptomics Modelling
    • Needs, priorities, and attitudes of individuals with spinal cord injury toward nerve stimulation devices for bladder and bowel function - a survey
  • Teachings
    • STATS 507 @ University of Michigan
    • Vertias AI
    • STATS 306 @ University of Michigan
    • STATS 250 @ University of Michigan
    • Hermiona Education
    • Educational Student Services @ Case Western Reserve University
  • Projects
    • R-AI-NDO Helpbot
    • Python GPT Crawler
    • Grid Tracker
    • Half Truth
    • State Population Estimates by Month (statepopsmonthly.com)
    • Project "CEO"
    • Bayesian Analysis of Mask Mandate Effectiveness
  • Volunteerings
    • Project Hope for Ukranian Humanitarian Aid
    • St Jude Children's Research Hospital
    • American Heart Association (AHA)
  • Projects
  • Teaching
  • Volunteering
  • Blog
    • ๐ŸŽ‰ Easily create your own simple yet highly customizable blog
    • ๐Ÿง  Sharpen your thinking with a second brain
    • ๐Ÿ“ˆ Communicate your results effectively with the best data visualizations
    • ๐Ÿ‘ฉ๐Ÿผโ€๐Ÿซ Teach academic courses
    • โœ… Manage your projects
  • Experience
  • Talks
    • Probabilistic Machine Learning Research Group Talks
    • Statistical Inference for Spatial Transcriptomics in the Age of Deep Learning
    • Discovering Spatial Differential Expression with Graph Convolutional Networks
    • deepST - A Graph Convolutional Autoencoder for Spatial Transcriptomics

STATS 306 @ University of Michigan

May 31, 2023 ยท 1 min read

This is an introductory statistical computing course based on the R programming language. Topics covered include data cleaning, visualization, basics of programming in R, and basics of statistical modeling.

Introduction to Statistical Computing

Last updated on May 31, 2023
Graduate Student Instructor
Roman Kouznetsov
Authors
Roman Kouznetsov
PhD Candidate

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