Intro to Data Science
Course Content
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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

    Course Content

    • Week 1 — I Have A Question (Aug. 24–28)
    • Week 2 — Describing Data (Aug. 31–Sep. 4)
    • Week 3 — Presenting and Visualizing (Sep. 7–11)
    • Week 4 — Probability and Inference (Sep. 14–18)
    • Week 5 — Practice (Sep. 21–25)
    • Week 6 — Two Variables (Sep. 28–Oct. 2)
    • Week 7 — Getting Data (Oct. 5–9)
    • Week 8 — Regression (Oct. 12–16)
    • Week 9 — Modeling and Prediction (Oct. 19–23)
    • Week 10 — Classification (Oct. 26–30)
    • Week 11 — Building and Evaluating Models (Nov. 2–6)
    • Week 12 — Text (Nov. 9–13)
    • Week 13 — Unsupervised (Nov. 16–20)
    • Week 14 — Workflow (Nov. 30–Dec. 4)
    • Week 15 — What's Next? (Dec. 7–11)
    Previous Tutorial Notebooks
    Next Week 1 — Question
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