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This Week

Regression

Final Exam on Saturday, Jul 31

Lecture 17 — Regression

  1. Prediction
  2. Correlation
  3. Regression

Lecture 18 — More Regression

  1. Root Mean Squared Error
  2. Residuals
  3. Confidence

Lab 8

Was due Wednesday, Jul 28 at 23:59 PM

Project 2

Was due Saturday, Jul 31 at 23:59 PM

Discussion 5

Week 4

The Bootstrap and Normal Curve

Lecture 13 — The Bootstrap

  1. The Bootstrap
  2. Bootstrapped Confidence Intervals

Lecture 14 — CIs, Mean, Spread

  1. Bootstrap Review
  2. CIs and Testing
  3. Mean and Spread

Lecture 15 — The Normal Distribution

  1. The Normal Curve
  2. The Central Limit Theorem

Lecture 16 — Normal Confidence Intervals

  1. Recap of CLT
  2. Normal CIs
  3. CLT and Hypothesis Testing
  4. Experiment Design

Lab 6

Was due Wednesday, Jul 21 at 23:59 PM

Lab 7

Was due Saturday, Jul 24 at 23:59 PM

Homework 6

Was due Friday, Jul 23 at 23:59 PM

Homework 7

Was due Monday, Jul 26 at 23:59 PM

Discussion 4

Week 3

Statistical Modeling

Midterm on Wednesday, Jul 14

Lecture 9 — Sampling

  1. Sampling
  2. Distributions

Lecture 10 — Models

  1. German Plane Problem
  2. Racially Biased Jury Panel
  3. Mendel's Peas

Lecture 11 — Hypothesis Testing

  1. Test Statistics
  2. Total Variation Distance
  3. Hypothesis Testing and p-Values

Lecture 12 — A/B Testing

  1. Permutation Tests
  2. Deflategate
  3. Causality

Lab 5

Was due Saturday, Jul 17 at 23:59 PM

Homework 4

Was due Friday, Jul 16 at 23:59 PM

Homework 5

Was due Monday, Jul 19 at 23:59 PM

Discussion 3

Week 2

Plotting, Grouping, Applying

Lecture 5 — Plotting

  1. Intro
  2. Scatter Plots
  3. Line Plots
  4. Bar Graphs
  5. Histograms

Lecture 6 — Overlaying Plots, Functions, Apply

  1. Overlaid Plots
  2. Functions
  3. Apply

Lecture 7 — Group, Merge, Conditionals, Iteration

  1. More GroupBy
  2. Merge
  3. Conditionals and Iteration

Lecture 8 — Probability and Sampling

  1. Probability
  2. np.random.choice
  3. Simulation
  4. Monty Hall

Lab 3

Was due Wednesday, Jul 07 at 23:59 PM

Lab 4

Was due Saturday, Jul 10 at 23:59 PM

Project 1

Was due Monday, Jul 12 at 23:59 PM

Homework 3

Was due Friday, Jul 09 at 23:59 PM

Discussion 2

Week 1

Introduction to Tables

Welcome to DSC 10!

Here's how to get started:

  • read the syllabus
  • join our campuswire and gradescope with the email invitations you received earlier this week
  • watch the intro lectures linked below

Note that there are four assignments due this week -- two labs and two homeworks. Labs will typically be due on Wednesdays and Saturdays, while homeworks will be due on Fridays and Mondays. This week, however, the first lab will be due on Thursday instead of Wednesday due to delays in getting JupyterHub up and running.

Lecture 1 — Introduction

  1. Introduction
  2. Syllabus
  3. Causality

Lecture 2 — Basic Python

  1. First Python Code
  2. Types
  3. Submitting Assignments

Lecture 3 — Arrays and Tables

  1. Arrays
  2. Tables

Lecture 4 — Querying and Groupby

  1. Querying (Boolean Indexing)
  2. GroupBy

Lab 1

Was due Thursday, Jul 01 at 23:59 PM

Lab 2

Was due Saturday, Jul 03 at 23:59 PM

Homework 1

Was due Friday, Jul 02 at 23:59 PM

Homework 2

Was due Monday, Jul 05 at 23:59 PM

Discussion 1