Introduction to Data Science Daily Overview: Unit 3
Unit 3
Daily Overview: Unit 3
Theme | Day | Lessons and Labs | Campaign | Topics | Page |
---|---|---|---|---|---|
Testing, Testing… 1, 2, 3… (7 days) |
1 | Lesson 1: Anecdotes vs. Data | Reading articles critically, data | 221 | |
2 | Lesson 2: What is an Experiment? | Experiments, causation | 224 | ||
3 | Lesson 3: Let’s Try an Experiment! | Random assignments, confounding factors | 227 | ||
4 | Lesson 4: Predictions, Predictions | Visualizations, predictions | 229 | ||
5 | Lesson 5: Time Perception Experiment | Elements of an experiment | 231 | ||
6 | Lab 3A: The results are in! | Analyzing experiment data | 233 | ||
7 | Practicum: Music to my Ears | Design an experiment | 234 | ||
Would You Look at That? (4 days) |
8 | Lesson 6: Observational Studies | Observational study | 237 | |
9 | Lesson 7: Observational Studies vs. Experiments | Observational study, experiment | 239 | ||
10 | Lesson 8: Monsters that Hide in Observational Studies | Observational study, confounding factors | 241 | ||
11 | Lab 3B: Confound it all! | Confounding factors | 245 | ||
Are You Asking Me? (9 days) |
12 | Lesson 9: Survey Says… | Survey | 249 | |
13 | Lesson 10: We’re So Random | Data collection, random samples | 252 | ||
14 | Lesson 11: The Gettysburg Address | Sampling bias | 256 | ||
15 | Lab 3C: Random Sampling | Random sampling | 261 | ||
16 | Lesson 12: Bias in Survey Sampling | Bias, sampling methods | 263 | ||
16 | Lesson 13: The Confidence Game | Confidence intervals | 266 | ||
17 | Lesson 14: How Confident Are You? | Confidence intervals, margin of error | 269 | ||
18 | Lab 3D: Are You Sure about That? | Bootstrapping | 271 | ||
19 | Practicum: Let’s Build a Survey! | Non-biased survey design | 274 | ||
What’s the Trigger? (5 days) |
20 | Lesson 15 Ready, Sense, Go! | Sensors, data collection | 277 | |
21 | Lesson 16: Does it have a Trigger? | Survey questions, sensor questions | 280 | ||
22 | Lesson 17: Creating Our Own Participatory Sensing Campaign | Participatory sensing campaign creation | 283 | ||
23 | Lesson 18: Evaluating Our Own Participatory Sensing Campaign |
Statistical questions, evaluate campaign | 286 | ||
24^ | Lesson 19: Implementing Our Own Participatory Sensing Campaign | Class Campaign—data | Mock-implement campaign, campaign creation, data collection | 288 | |
Webpages (6 days) |
29 | Lesson 20: Online Data-ing | Class Campaign—data | Data on the internet | 292 |
30 | Lab 3E: Scraping web data | Class Campaign—data | Scraping data from the internet | 296 | |
31 | Lab 3F: Maps | Class Campaign—data | Making maps with data from the internet | 299 | |
32 | Lesson 21: Learning to Love XML | Class Campaign—data | Data storage, XML | 301 | |
33+ | Lesson 22: Changing Orientation | Class Campaign—data | Converting XML files | 303 | |
34 | Practicum: What Does Our Campaign Data Say? | Class Campaign | Statistical questions, visualizations, numerical summaries | 305 | |
End of Unit Project (5 days) |
35- 40 |
End of Unit Project: TB or Not TB | Class Campaign | Simulation using experiment data | 306 |
^=Data collection window begins.
+=Data collection window ends.