STA 199 Introduction to Data Science and Statistical Thinking
Below is a prospective outline for the course. Due dates are firm, but topics may change with advanced notice.
| WEEK | DATE | PREPARE | TOPIC | MATERIALS | DUE |
|---|---|---|---|---|---|
| 0 | Wed, Jan 8 | Lab 0: Hello, World! | lab 0 | Lab 0 @ End of Lab | |
| Thu, Jan 9 | Welcome! | slides 00 | |||
| 1 | Mon, Jan 13 | Lab 1 | lab 1 | ||
| Tue, Jan 14 | π r4ds - intro π ims - chp 1 π₯ Meet the toolkit :: R and RStudio π₯ Meet the toolkit :: Quarto π₯ Code along :: First data viz with UN Votes |
Meet the Toolkit | slides 01 | ||
| Thu, Jan 16 | π r4ds - chp 1 π ims - chp 4 π₯ Visualizing data π₯ Building a plot step-by-step with ggplot2 π₯ Grammar of graphics π₯ Code along :: First look at Palmer Penguins |
Data Vizualization | slides 02 | ||
| 2 | Mon, Jan 20 | MLK Day - No Lab | |||
| Tue, Jan 21 | π r4ds - chp 2 π r4ds - chp 3.1-3.5 π₯ Grammar of data transformation π₯ Code along :: Flights and pipes |
Data Transformation |
slides 03 ae 02 |
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| Wed, Jan 22 | Lab 1 @ 11:59 PM | ||||
| Thu, Jan 23 | π r4ds - chp 3.6-3.7 π₯ Visualizing and summarizing categorical data π₯ Visualizing and summarizing numerical data π₯ Visualizing and summarizing relationships π₯ Code along :: Star Wars characters |
Data Exploration 1 |
slides 04 ae 03 |
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| 3 | Mon, Jan 27 | π r4ds - chp 4 | Lab 2 | lab 2 | |
| Tue, Jan 28 | π ims - chp 5 π ims - chp 6 π₯ Code along :: Diving deeper with Palmer Penguins |
Data Exploration 2 |
slides 05 ae 04 |
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| Thu, Jan 30 | π₯ Tidy data π₯ Tidying data π₯ Code along :: Country populations over time π r4ds - chp 5 |
Tidying data |
slides 06 ae 05 |
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| 4 | Mon, Feb 3 | Lab 3 | lab 3 | Lab 2 @ 8:30AM | |
| Tue, Feb 4 | π₯ Joining data π₯ Code along :: Continent populations π r4ds - chp 19.1-19.3 |
Joining data |
slides 07 ae 06 |
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| Thu, Feb 6 | π₯ Data types π₯ Data classes π₯ Code along :: Thatβs my type π r4ds - chp 16 |
Data types and classes |
slides 08 ae 07 |
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| 5 | Mon, Feb 10 | Lab 4 |
lab 4 slides |
Lab 3 @ 8:30AM | |
| Tue, Feb 11 | π₯ Importing data π₯ Code along :: Halving CO2 emissions π₯ Code along :: Student survey π r4ds - chp 7 π r4ds - chp 17.1 - 17.3 |
Importing and recoding data | slides 09 | ||
| Thu, Feb 13 | More practice |
slides 10 ae 08 |
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| 6 | Mon, Feb 17 | Exam Review | Lab 4 @ 8:30AM | ||
| Tue, Feb 18 | π mdsr - chp 8 π How to make a racist AI in R without really trying π₯ Alberto Cairo - How charts lie π₯ Joy Buolamwini - How Iβm fighting bias in algorithms |
Data science ethics | slides 11 | ||
| Thu, Feb 20 | Snow Day - No Class | ||||
| 7 | Mon, Feb 24 | Milestone 1 |
project milestone 1 slides |
Takehome 1 @ 8:30AM | |
| Tue, Feb 25 |
Batch A of practice problems Batch B of practice problems Kahoot |
Midterm 1 | |||
| Thu, Feb 27 | π₯ The language of models π ims - chp 7.1 |
The language of models |
slides 12 ae 9 |
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| Fri, Feb 28 | Peer evaluation 1 due by 5:00 pm | ||||
| 8 | Mon, Mar 3 | Milestone 2 | project milestone 2 | ||
| Tue, Mar 4 | π₯ Fitting and interpreting models π₯ Modeling nonlinear relationships π ims - chp 7.2 |
Simple linear regression |
slides 13 ae 10 |
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| Thu, Mar 6 | π₯ Models with multiple predictors π₯ More models with multiple predictors π ims - chp 8.1-8.2 |
Multiple linear regression 1 |
slides 14 ae 11 |
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| Fri, Mar 7 | Milestone 2 @ 5PM | ||||
| 9 | Mon, Mar 10 | Spring Break - No Lab | |||
| Tue, Mar 11 | Spring Break - No Lecture | ||||
| Thu, Mar 13 | Spring Break - No Lecture | ||||
| 10 | Mon, Mar 17 | Lab 5 |
lab 5 slides |
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| Tue, Mar 18 | π ims - chp 8.3-8.5 | Multiple linear regression 2 | slides 15 | ||
| Thu, Mar 20 | π₯ Logistic regression | Model selection |
slides 16 ae 12 |
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| Fri, Mar 21 | Peer evaluation 2 due by 5:00 pm | ||||
| 11 | Mon, Mar 24 | Lab 6 | lab 6 | Lab 5 @ 8:30AM | |
| Tue, Mar 25 | π ims - chp 9 | Logistic regression 1 |
slides 17 ae 13 |
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| Thu, Mar 27 | π₯ Prediction and overfitting | Logistic regression 2 |
slides 18 ae 14 |
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| 12 | Mon, Mar 31 | Lab 7 |
lab 7 slides |
Lab 6 @ 8:30AM | |
| Tue, Apr 1 | π₯ Quantifying uncertainty π₯ Bootstrapping π ims - chp 12 |
Intervals |
slides 19 ae 15 |
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| Thu, Apr 3 | π ims - chp 11 | Hypothesis testing |
slides 20 ae 16 |
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| Fri, Apr 4 | Milestone 3 @ 5PM | ||||
| 13 | Mon, Apr 7 | Exam Review | Lab 7 @ 8:30AM | ||
| Tue, Apr 8 | More inference |
slides 21 check-in ae 17 |
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| Thu, Apr 10 |
practice problems Kahoot |
Midterm 2 | |||
| Fri, Apr 11 | Peer evaluation 3 due by 5:00 pm | ||||
| 14 | Mon, Apr 14 | Milestone 4 | project milestone 4 | Takehome 2 @ 8:30AM Milestone 4 @ End of Lab |
|
| Tue, Apr 15 | More inference |
slides 22 ae 18 |
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| Thu, Apr 17 | Communication, Quarto |
slides 23 ae 19 |
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| 15 | Mon, Apr 21 | Milestone 5 | project milestone 5 | ||
| Tue, Apr 22 | Farewell! |
slides 24 ae 20 |
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| Wed, Apr 23 | Milestone 5 @ 5PM | ||||
| 16 | Mon, Apr 28 | finals week - no lab | Peer evaluation 4 due by 5:00 pm | ||
| Tue, Apr 29 | seeβ¦everything above | Final (9AM - 12PM) |