Analytics and AI: Modern Regression

RECOMMENDED:

• Familiarity with R statistical programming language

REQUIRED:

• Undergraduate-level statistics and probability, along with basic linear algebra and calculus experience
• Programming proficiency in Python

REQUIRED (Student must provide):

• Internet connection
• Free software (download and install before taking the course)
  • R statistical software (see cran.r-project.org) and R Studio (see rstudio.com/products/rstudio/download)
  • Python programming language (see www.python.org)
  • Jupyter Notebooks (see jupyter.org)
  • GitHub account (see github.com)
  • Adobe Acrobat PDF reader (see get.adobe.com/reader/)
  • Honorlock proctoring software (see honorlock.com/)
• Laptop or desktop computer (not a tablet)

PROVIDED (Student will receive):

• All course lessons (video recorded lectures, slides, and transcripts), assignments, and solutions
• R and Python Jupyter notebooks with course examples
• GitHub repository of R and Python code for examples

• Claim your Georgia Tech (GT) account, set up your GT account password and view your GT account user name. This account is different from your account and password on this website.
  • Claim your Georgia Tech (GT) account OR
  • Check your inbox for an email with a direct link.
    NOTE: It may take up to an hour from registration for your GT account to be established and the email to be sent. We appreciate your patience.
• Note your GT username and password. You will need both to access your course materials.
• Log in to your course with the course platform delivery link below.

Canvas: https://gatech.instructure.com/