DSC 80 – The Practice and Application of Data Science

This Week

Final Exams

Final Exam on Tuesday, Dec 06

Week 10

Model Evaluation and Fairness

Lecture 19 — Fairness

Lecture 18 — Grid Search and Evaluation Metrics

Discussion 8

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Dec 03 at 23:59 PM

Week 9

Thanksgiving Week

Due to the holiday, Tuesday's lecture will be pre-recorded -- we will not have an in-person lecture. We'll resume in-person lectures after the break. Have a good Thanksgiving!

Lecture 17 — Model Validation

Lab 9

  • Not yet posted...
Was due Thursday, Dec 01 at 23:59 PM

Project 5 Checkpoint

  • Not yet posted...

Project 5

  • Not yet posted...
Was due Wednesday, Dec 07 at 23:59 PM

Week 8

Features and sklearn

Lecture 16 — sklearn Pipelines

Lecture 15 — Features

Lab 8

  • Not yet posted...
Was due Monday, Nov 21 at 23:59 PM

Project 4

  • Not yet posted...
Was due Monday, Nov 28 at 23:59 PM

Discussion 7

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Nov 19 at 23:59 PM

Week 7

Text and Regex

Lecture 14 — Text Features

Lecture 13 — Working with Text

Lab 7

  • Not yet posted...
Was due Monday, Nov 14 at 23:59 PM

Project 4 Checkpoint

  • Not yet posted...
Was due Thursday, Nov 17 at 23:59 PM

Discussion 6

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Nov 12 at 23:59 PM

Week 6

Parsing HTML

Midterm on Thursday, Nov 03

Lecture 12 — Parsing HTML

Lab 6

  • Not yet posted...
Was due Monday, Nov 07 at 23:59 PM

Discussion 6

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Nov 05 at 23:59 PM

Week 5

HTTP and HTML

Lecture 11 — HTTP

Lecture 10 — Imputing Values

Lab 5

  • Not yet posted...
Was due Monday, Oct 31 at 23:59 PM

Project 3 Checkpoint

  • Not yet posted...

Project 3

  • Not yet posted...
Was due Thursday, Nov 10 at 23:59 PM

Discussion 5

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Oct 29 at 23:59 PM

Week 4

Missingness

Lecture 9 — Missing Data

Lecture 8 — Permutation Testing

Lab 4

  • Not yet posted...
Was due Monday, Oct 24 at 23:59 PM

Project 2

  • Not yet posted...
Was due Thursday, Oct 27 at 23:59 PM

Discussion 4

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Oct 22 at 23:59 PM

Week 3

Permutation Tests

Lecture 7 — Combining

Lecture 6 — Grouping

  • 📖 Reading Chapter 5 - Aggregations
  • đŸŽĨ Videos
    1. Data Granularity and groupby
    2. Pivot Tables
    3. Simpson's Paradox
  • ℹī¸ Note

    Once again, the microphone unfortunately stopped working partway through this quarter's podcast recording, so we've uploaded videos from a previous quarter instead. They cover the same material as what was discussed in Lecture. I'm checking with campus IT to find out what the issue is.

Lab 3

  • Not yet posted...
Was due Monday, Oct 17 at 23:59 PM

Project 2 Checkpoint

  • Not yet posted...
Was due Thursday, Oct 20 at 23:59 PM

Discussion 3

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Oct 15 at 23:59 PM

Week 2

Hypothesis Testing and Data Granularity

Lecture 5 — Guest Lecture by Eric Colson

  • ℹī¸ Note The guest lecture can be viewed on podcast.ucsd.edu. The first few minutes don't have sound because the microphone was off.

Lecture 4 — Hypothesis Testing

Lab 2

  • Not yet posted...
Was due Monday, Oct 10 at 23:59 PM

Project 1

  • Not yet posted...
Was due Thursday, Oct 13 at 23:59 PM

Discussion 2

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Oct 08 at 23:59 PM

Week 1

Tables and Messy Data

Lecture 3 — Messy Data

Lecture 2 — Pandas

Lab 1

  • Not yet posted...
Was due Monday, Oct 03 at 23:59 PM

Project 1 Checkpoint

  • Not yet posted...
Was due Thursday, Oct 06 at 23:59 PM

Discussion 1

  • Not yet posted...
  • Discussions are extra credit.
Was due Saturday, Oct 01 at 23:59 PM

Week 0

Introduction

Welcome to DSC 80!

Here's how to get started:

  • Read the syllabus.
  • Join our Ed message board and Gradescope with the email invitations you received earlier this week. If you didn't receive an email, you can use access code 3JDYBJ for Gradescope (the link above for Ed will automatically let you join the class without a code).
  • The first lecture will be on Thursday, September 22 at 6:30 PM in CENTR 105.
  • The first discussion will be on Friday, September 30 at 3:00 PM in CSB 002. (There will not be discussion in Week 0).

See you in lecture!

Lecture 1 — Introduction