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 | TOPIC | PREPARE | MATERIALS | DUE |
|---|---|---|---|---|---|
| 1 | Mon, Aug 25 | Lab 0: Mise en place | π» lab 0 | Lab 0 due at the end of lab session (not graded) | |
| Tue, Aug 26 | Hello World and Hello STA 199! | π Syllabus | π₯οΈ slides 01 ποΈ notes 01 |
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| Thu, Aug 28 | Meet the toolkit | 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 |
π₯οΈ slides 02 ποΈ notes 02 β¨οΈ ae 01 β ae 01 |
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| 2 | Mon, Sep 1 | No lab - Labor Day | |||
| Tue, Sep 2 | ARC Presentation Grammar of data visualization |
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 |
π₯οΈ slides 03 ποΈ notes 03 β¨οΈ ae 02 β ae 02 |
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| Thu, Sep 4 | Grammar of data transformation | π r4ds - chp 2 π r4ds - chp 3.1-3.5 π₯ Grammar of data transformation π₯ Code along :: Flights and pipes |
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| 3 | Mon, Sep 8 | Lab 1: From the Midwest to North Carolina | To be posted | Lab 1 due at the end of the lab session | |
| Tue, Sep 9 | Exploratory data analysis I | To be posted | |||
| Thu, Sep 11 | Exploratory data analysis II | To be posted | |||
| Sun, Sep 14 | HW 1 due at 11:59 pm | ||||
| 4 | Mon, Sep 15 | Lab 2: Revisiting the Midwest | To be posted | Lab 2 due at the end of the lab session | |
| Tue, Sep 16 | Tidying data | To be posted | |||
| Thu, Sep 18 | Joining data | To be posted | |||
| Sun, Sep 21 | HW 2 due at 11:59 pm | ||||
| 5 | Mon, Sep 22 | Lab 3: Inflation everywhere | To be posted | Lab 3 due at the end of the lab session | |
| Tue, Sep 23 | Data types and classes | To be posted | |||
| Thu, Sep 25 | Importing and recoding data | To be posted | |||
| Sun, Sep 28 | HW 3 due at 11:59 pm | ||||
| 6 | Mon, Sep 29 | Lab 4: Everything so far I | To be posted | Lab 4 due at the end of lab session | |
| Tue, Sep 30 | Exam 1 review | To be posted | π exam 1 review β exam 1 review |
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| Thu, Oct 2 | Exam 1 - In-class + take-home released | To be posted | |||
| Sat, Oct 4 | Exam 1 take-home due at 12 pm | ||||
| 7 | Mon, Oct 6 | Project milestone 1 - Working collaboratively [45 mins] Project milestone 2 - Project proposals [30 mins] |
To be posted | π project milestone 1 π project milestone 2 |
Project milestone 1 due at the end of lab session |
| Tue, Oct 7 | Web scraping | To be posted | |||
| Thu, Oct 9 | Data science ethics | To be posted | Midterm course evaluation due at 11:59 pm (optional) | ||
| 8 | Mon, Oct 13 | No lab - Fall Break | To be posted | ||
| Tue, Oct 14 | No lecture - Fall Break | To be posted | |||
| Thu, Oct 16 |
Essential data science skills potpourri:
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To be posted | Project milestone 2 due at 11:59 pm Peer evaluation 1 due at 11:59 pm |
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| 9 | Mon, Oct 20 | Project milestone 3 - Improve and progress | To be posted | π project milestone 3 | Project milestone 3 due at the end of lab session |
| Tue, Oct 21 | The language of models | To be posted | |||
| Thu, Oct 23 | Linear regression with a single predictor | To be posted | Peer evaluation 2 due at 11:59 pm | ||
| 10 | Mon, Oct 27 | Project milestone 4 - Peer review [30 minutes] Lab 5: Visualize, model, interpret [45 minutes] |
To be posted | π project milestone 4 | Project milestone 4 at the end of lab session Lab 5 due at the end of the lab session |
| Tue, Oct 28 | Linear regression with multiple predictors I | To be posted | |||
| Thu, Oct 30 | Linear regression with multiple predictors II | To be posted | Peer evaluation 3 at 11:59 pm | ||
| Sun, Nov 2 | HW 4 at 11:59 pm | ||||
| 11 | Mon, Nov 3 | Project milestone 5 - Work on writeup and presentations | To be posted | π project milestone 5 | Project milestone 5 due at the end of lab session |
| Tue, Nov 4 | Model selection and overfitting | To be posted | |||
| Thu, Nov 6 | Logistic regression I | To be posted | |||
| 12 | Mon, Nov 10 | Project milestone 6 - Present and turn in write-up! | To be posted | ||
| Tue, Nov 11 | Logistic regression II | To be posted | |||
| Thu, Nov 13 | Evaluating models | To be posted | Peer evaluation 4 due at 11:59 pm | ||
| 13 | Mon, Nov 17 | Lab 6: Everything so far II | To be posted | Lab 6 due at the end of lab session | |
| Tue, Nov 18 | Exam 2 review | To be posted | π exam 2 review β exam 2 review |
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| Thu, Nov 20 | Exam 2 - In-class + take-home released | To be posted | |||
| Sat, Nov 22 | Exam 2 take-home due at 12 pm | ||||
| 14 | Mon, Nov 24 | Lab 7: Explore and classify | To be posted | Lab 7 due at the end of lab session | |
| Tue, Nov 25 | Quantifying uncertainty with bootstrap intervals | To be posted | |||
| Thu, Nov 27 | No lecture - Thanksgiving | To be posted | |||
| Sun, Nov 30 | HW 5 due at 11:59 pm | ||||
| 15 | Mon, Dec 1 | Lab 8: Inference | To be posted | Lab 8 due at the end of lab session | |
| Tue, Dec 2 | Making decisions with randomization tests | To be posted | |||
| Thu, Dec 4 | Looking further | To be posted | |||
| Fri, Dec 5 | HW 6 due at 11:59 pm (will be accepted until Sun, Dec 7 at 11:59 pm without penalty) | ||||
| NA | Final review (time TBD, location TBD) | π final review β final review |
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| 16 | Fri, Dec 12 | Final (2 pm - 5 pm) | To be posted |