STA 199: Introduction to Data Science and Statistical Thinking
This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.
| WEEK | DATE | PREPARE | TOPIC | MATERIALS | DUE |
|---|---|---|---|---|---|
| 1 | Mon, Aug 26 | Lab 0: Hello, World and STA 199! |
π» lab 0 |
Lab 0 due at the end of lab session |
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| Tue, Aug 27 | Welcome to STA 199 |
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| Thu, Aug 29 | π r4ds - intro |
Meet the toolkit |
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| 2 | Mon, Sep 2 | No lab - Labor Day |
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| Tue, Sep 3 | π r4ds - chp 1 |
Grammar of data visualization |
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| Thu, Sep 5 | π r4ds - chp 2 |
Grammar of data transformation |
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| 3 | Mon, Sep 9 | Lab 1: From the Midwest to North Carolina |
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| Tue, Sep 10 | π r4ds - chp 3.6-3.7 |
Exploring data I |
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| Thu, Sep 12 | π ims - chp 5 |
Exploring data II |
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| 4 | Mon, Sep 16 | π r4ds - chp 4 |
Lab 2: Revisiting the Midwest |
π» lab 2 |
Lab 1 at 8:30 am |
| Tue, Sep 17 | π₯ Tidy data |
Tidying data |
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| Thu, Sep 19 | π₯ Joining data |
Joining data |
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| 5 | Mon, Sep 23 | Lab 3: Inflation everywhere |
π» lab 3 |
Lab 2 at 8:30 am |
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| Tue, Sep 24 | π₯ Data types |
Data types and classes |
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| Thu, Sep 26 | π₯ Importing data |
Importing and recoding data |
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| 6 | Mon, Sep 30 | Lab 4: Everything so far I |
π» lab 4 |
Lab 3 at 8:30 am |
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| Tue, Oct 1 | π₯ Web scraping basics |
Web scraping |
π₯οΈ slides 10 |
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| Thu, Oct 3 | Midterm review |
π₯οΈ slides 11 |
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| 7 | Mon, Oct 7 | π Merge conflicts |
Project milestone 1 - Working collaboratively |
π project milestone 1 |
Lab 4 due at 8:30 am |
| Tue, Oct 8 | Midterm - In-class + take-home released |
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| Thu, Oct 10 | Working with generative AI tools |
Midterm course evaluation due midnight (optional) |
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| Fri, Oct 11 | Midterm take-home due at 5:00 pm |
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| 8 | Mon, Oct 14 | No lab - Fall Break |
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| Tue, Oct 15 | No lecture - Fall Break |
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| Thu, Oct 17 | π mdsr - chp 8 |
Data science ethics |
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| Fri, Oct 18 | Peer evaluation 1 due by 5:00 pm |
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| 9 | Mon, Oct 21 | π Project description |
Project milestone 2 - Project proposals |
π project milestone 2 |
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| Tue, Oct 22 | π₯ The language of models |
The language of models |
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| Thu, Oct 24 | π₯ Fitting and interpreting models |
Linear regression with a single predictor |
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| 10 | Mon, Oct 28 | Lab 5: Visualize, model, interpret |
π» lab 5 |
Project milestone 2 at 8:30 am |
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| Tue, Oct 29 | π₯ Models with multiple predictors |
Linear regression with multiple predictors I |
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| Thu, Oct 31 | π ims - chp 8.3-8.5 |
Linear regression with multiple predictors II |
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| Fri, Nov 1 | Peer evaluation 2 due by 5:00 pm |
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| 11 | Mon, Nov 4 | Lab 6: Visualize, model, interpret again |
π» lab 6 |
Lab 5 at 8:30 am |
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| Tue, Nov 5 | π₯ Logistic regression |
Model selection and overfitting |
π₯οΈ slides 18 |
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| Thu, Nov 7 | π ims - chp 9 |
Logistic regression |
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| 12 | Mon, Nov 11 | Lab 7: Explore and classify |
π» lab 7 |
Lab 6 at 8:30 am |
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| Tue, Nov 12 | Evaluating models |
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| Thu, Nov 14 | π₯ Quantifying uncertainty |
Quantifying uncertainty with bootstrap intervals |
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| Fri, Nov 15 | Project milestone 3 - Improvement and progress at 5:00 pm |
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| 13 | Mon, Nov 18 | Lab 8: Everything so far II |
π» lab 8 |
Lab 7 at 8:30 am |
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| Tue, Nov 19 | π ims - chp 11 |
Making decisions with randomization tests |
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| Thu, Nov 21 | Inference overview |
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| Fri, Nov 22 | Peer evaluation 3 due by 5:00 pm |
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| 14 | Mon, Nov 25 | Project milestone 4 - Peer review |
π project milestone 4 |
Project milestone 4 at the end of lab session |
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| Tue, Nov 26 | π₯ Tips for effective data visualization |
Communicating data science results effectively |
Lab 8 at 10:30 pm |
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| Thu, Nov 28 | No lecture - Thanksgiving |
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| 15 | Mon, Dec 2 | Project milestone 5 - Work on writeup and presentations |
π project milestone 5 |
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| Tue, Dec 3 | Looking back: STA 199 overview |
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| Thu, Dec 5 | Looking further: Building interactive web apps with R and Shiny |
Project milestone 5 - Writeup and presentation videos by 5:00 pm |
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| Fri, Dec 6 | Peer evaluation 4 due by 5:00 pm |
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| Tue, Dec 10 | Final review (11 am - 1 pm, Bio Sci 111) |
π final review |
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| 16 | Thu, Dec 12 | Final (9 am - 12 pm) |