Intro to Data Science
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    • Course Info
    • Syllabus
    • Schedule
    • Resources
    • Content
    • Assignments
    • Course Info
    • Syllabus
    • Schedule
      • Overview
      • Software Installation
      • Remotely Using Onyx
      • Glossary
      • Notebook Checklist
      • Common Problems
      • Notes on Probability
      • Git Resources
      • Tutorial Notebooks
      • Course Content
      • Week 1 — Question
      • Week 2 — Description
      • Week 3 — Presentation
      • Week 4 — Inference
      • Week 5 — Filling In
      • Week 6 — Two Variables
      • Week 7 — Getting Data
      • Week 8 — Regression
      • Week 9 — Models & Prediction
      • Week 10 — Classification
      • Week 11 — Evaluation
      • Week 12 — Text
      • Week 13 — Unsupervised
      • Week 14 — Workflow
      • Week 15 — What Next?
      • Index
        • Overview
        • CS 533 Assignment 0
        • PDF
      • Assignment 1
      • Assignment 2
      • Assignment 3
      • Assignment 4
      • Assignment 5
      • Assignment 6
      • Assignment 7

    Schedule

    Following is a tentative schedule. Topics may shift a little bit depending on how the semester goes.

    Week Start Topic Due
    1 8/24 Asking Questions A0
    2 8/31 Variables and Data
    3 9/7 Visualizing and Presenting A1
    4 9/14 Probability and Inference
    5 9/21 Filling In A2
    6 9/28 Two Variables E1
    7 10/5 Sourcing and Integrating Data A3
    8 10/12 Regression
    9 10/19 Modeling & Prediction A4
    10 10/26 Classification
    11 11/2 Evaluating Models A5
    12 11/9 Text E2
    13 11/16 Unsupervised A6
    Th 11/23 Thanksgiving
    14 11/30 Workflow
    15 12/7 What's Next? A7
    F 12/14 Finals week Final

    Assignments are due at midnight on Sunday at the end of the week in which they are listed. For example, A0 is due at midnight, August 30, 2020.

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