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Welcome to ICS 80 - Introduction to Data Science

This course introduces the full data cycle. Topics include data collection and retrieval, data cleaning, exploratory analysis and visualization, introduction to statistical modeling and inference, and communicating findings. Applications include real data from wide-range of fields following reproducible practices.

Prerequisite: None


Course Goals

By the end of this course you will be able to:

Typical Week Workflow
  • Monday 9 am

    Prof. Dogucu holds office hours.

  • Monday 2 pm

    Weekly homework due

  • Monday 2 - 3:30 pm

    Lecture

  • Tuesday 4:00 - 4:30 pm

    Alicia holds office hours

  • Tuesday 11:59 pm

    Review quizzes are due

  • Wednesday 2 - 3:30 pm

    Lecture

  • Thursday 5:30 - 6: 30 pm

    Alicia holds office hours

  • Thursday 11:59 pm

    Review quizzes are due

  • Friday 4:00 - 5:00 pm

    Prof. Dogucu holds office hours.

Important Dates

Final Project Proposal due Nov 5th at 11:59 pm

Final Project Presentation on Dec 10th at 1:30 - 3:30 pm
NSF logo Part of this work is supported by NSF HDR DSC award #2123366