Schedule
The links below will enable you to view the demo and assignment notebooks in your browser. If you’d like to edit and execute them yourself, follow these instructions to install the course software and download all the notebooks onto your own computer.
Introduction | |||
W | 01/24 | Introduction
Lecture: Slides, Demo, Video Reading: 1 |
lab01 |
F | 01/26 | Cause and Effect
Lecture: Slides, Video Reading: 2 |
hw01 |
Data, Tables, and Graphs in Python | |||
M | 01/29 | Tables
Lecture: Slides, Demo, Video Reading: 5.0 |
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W | 01/31 | Data Types
Lecture: Slides, Demo, Video Reading: 3, 4 |
lab02 |
F | 02/02 | Columns and Rows
Lecture: Slides, Demo, Video Reading: 5.1, 5.2 |
hw02 |
M | 02/05 | Census
Lecture: Slides, Demo, Video Reading: 5.3, 5.4 |
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W | 02/07 | Charts
Lecture: Slides, Demo, Video Reading: 6.0, 6.1 |
lab03 |
F | 02/09 | Histograms
Lecture: Slides, Demo, Video Reading: 6.2, 6.3 |
hw03 |
M | 02/12 | Functions
Lecture: Slides, Demo, Video Reading: 7.0, 7.1 |
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W | 02/14 | Groups
Lecture: Slides, Demo, Video Reading: 7.2, 7.3 |
lab04 |
F | 02/16 | Joins
Lecture: Slides, Demo, Video Reading: 7.4, 7.5 |
proj1 |
M | 2/19 | February Break (no class)
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W | 02/21 | Table Examples
Lecture: Slides, Demo, Video |
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Distributions and Random Sampling | |||
F | 02/23 | Control
Lecture: Slides, Demo, Video Reading: 8.0, 8.1, 8.2 |
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M | 02/26 | Probability
Lecture: Slides, Demo, Video Reading: 8.3, 8.4 |
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W | 02/28 | Sampling
Lecture: Slides, Demo, Video Reading: 8.5, 9.0, 9.1, 9.2 |
lab05 |
Thu | 03/01 | Prelim 1, 7:30pm, Goldwith Smith G76
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F | 03/02 | No class: Snow Day
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hw04 |
M | 03/02 | Estimation
Lecture: Slides, Demo, Video Reading: 9.3 |
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W | 03/05 | Simulation
Lecture: Slides, Demo, Video |
lab06 |
Hypothesis Testing | |||
F | 03/09 | Hypothesis Testing
Lecture: Slides, Demo, Video Reading: 10, 10.1, 10.2 |
hw05 |
M | 03/12 | Error Probabilities
Lecture: Slides, Demo, Video Reading: 10.3 |
proj2 |
W | 03/14 | Examples
Lecture: Slides, Demo, Video Reading: 10.4 |
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F | 03/16 | Confidence Intervals
Lecture: Slides, Demo, Video Reading: 11.0, 11.1, 11.2 |
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M | 03/19 | Interpreting Confidence
Lecture: Slides, Demo, Video Reading: 11.3, 11.4 |
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The Normal Distribution | |||
W | 03/21 | Center and Spread
Lecture: Slides, Demo, Video Reading: 12, 12.1, 12.2 |
lab07 |
F | 03/23 | The Normal Distribution
Lecture: Slides, Demo, Video Reading: 12.3, 12.4 |
hw06 |
M | 03/26 | Sample Means
Lecture: Slides, Demo, Video Reading: 12.5 |
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W | 03/28 | Designing Experiments
Lecture: Slides, Demo, Video Reading: 12.6 |
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F | 03/30 | Sample Size Examples
Lecture: Slides, Demo, Video |
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M | 04/02 | Spring Break
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W | 04/04 | Spring Break
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F | 04/06 | Spring Break
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Regression | |||
M | 04/09 | Correlation
Lecture: Slides, Demo, Video Reading: 13, 13.1 |
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T | 04/10 | Prelim 2, 7:30pm, Kimball B11
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W | 04/11 | Linear Regression
Lecture: Slides, Demo, Video Reading: 13.2 |
lab08 |
F | 04/13 | Least Squares
Lecture: Slides, Demo, Video Reading: 13.3, 13.4 |
hw07 |
M | 04/16 | Residuals
Lecture: Slides, Demo, Video Reading: 13.5, 13.6 |
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W | 04/18 | Regression Inference
Lecture: Slides, Demo, Video Reading: 14 |
lab09 |
Classification | |||
F | 04/20 | Classification
Lecture: Slides, Demo, Video Reading: 15, 15.1 |
hw08 |
M | 04/23 | Nearest Neighbor
Lecture: Slides, Demo, Video Reading: 15.2, 15.3, 15.4, 15.5 |
proj3 |
W | 04/25 | Implementing Nearest Neighbor
Lecture: Slides, Demo, Video |
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F | 04/27 | Enhancing Nearest Neighbor
Lecture: Slides, Demo, Video |
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M | 04/30 | Multiple Regression
Lecture: Slides, Demo, Video Reading: 15.6 |
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Applications of Data Science | |||
W | 05/02 | How Data Collection Influences How We Live, Work, and Interact—Prof. Karen Levy (Information Science)
Lecture: Slides, Video |
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F | 05/04 | Analyzing Data on a Cosmic Scale—Prof. Rachel Bean (Astronomy)
Lecture: Slides, Video |
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M | 05/07 | Privacy
Lecture: Slides, Demo, Video |
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W | 05/09 | What Next
Lecture: Slides, Video |
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M | 05/14 | Final Exam, 2:00 pm, Phillips 219
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