Note: This schedule is tentative. The syllabus will be updated as the course develops. If you have any questions, please contact the instructor.
| 🌱 Orientation |
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1 |
Jan 17 |
Intro course and resources |
Intro to Swirl |
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2 |
Jan 19 |
Writing with code |
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3 |
Jan 24 |
Text Analysis |
Workspace, Vectors |
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4 |
Jan 26 |
Academic writing with Quarto |
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| 🌱 Foundations |
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5 |
Jan 31 |
Data |
Objects, Packages and functions |
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6 |
Feb 2 |
Dive into datasets |
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7 |
Feb 7 |
Analysis |
Summarizing data, Visual summaries |
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8 |
Feb 9 |
Trace the datascape |
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9 |
Feb 14 |
Research |
Project environment |
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10 |
Feb 16 |
Scaffolding reproducible research |
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11 |
Feb 21 |
Blueprint |
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| 🌱 Preparation |
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12 |
Feb 23 |
Acquire |
Control statements, Custom functions |
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13 |
Feb 28 |
Harvesting research data |
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14 |
Mar 1 |
Curate |
Pattern matching, Tidy data |
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15 |
Mar 6 |
Taming data |
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16 |
Mar 8 |
Workshop |
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17 |
Mar 20 |
Transform |
Reshape by rows, Reshape by columns |
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18 |
Mar 22 |
Dataset alchemy |
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| 🌱 Analysis |
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19 |
Mar 27 |
Explore |
Advanced objects |
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20 |
Mar 29 |
Employing exploratory methods |
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21 |
Apr 3 |
Predict |
Advanced visualization |
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23 |
Apr 5 |
Building predictive models |
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24 |
Apr 10 |
Infer |
Advanced Tables |
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25 |
Apr 12 |
Building inferential models |
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| 🌱 Communication |
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25 |
Apr 17 |
Contribute |
Computing environment |
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26 |
Apr 19 |
Sharing research |
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27 |
Apr 24 |
Workshop |
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28 |
Apr 26 |
Showcase |
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29 |
May 1 |
Showcase |
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| 🌻 Finalize |
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May 7 |
Individual sessions |
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