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Visualization
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danielrazavi authored Apr 9, 2024
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Expand Up @@ -15,28 +15,31 @@ By the end of this module, you will be able to:

### Course Contacts
* Instructor: **Ciara Zogheib** (She/Her).
* To contact me, please email me at [email protected], and include 'DSI Data Visualization' in the subject line!
* To contact me, please message me on the course Slack channel or email me at [email protected], and include 'DSI Data Visualization' in the subject line!
* I'll do my best to respond promptly, but please be patient!
* TA: **Amanda Ng**
* To contact, please email [email protected], and include 'DSI' Data Visualization' in the subject line
* Teaching Assistant: **Alex Yu**
* Please message Alex on the course Slack channel!

### Delivery instructions
The workshop will be held over two weeks, four days a week. Being mindful of online fatigue, there will be one break during each class where students are encouraged to stretch, grab a drink and snacks, or ask any additional questions.
The workshop will be held four days a week. Being mindful of online fatigue, there will be one break during each class where students are encouraged to stretch, grab a drink and snacks, or ask any additional questions.

Office hours with the TA will be held for half an hour before and after class on Mondays and Tuesdays (5:30-6:00 and 8:30-9:00), and for an hour after class on Wednesdays and Thursdays (8:30-9:30). Use office hours to discuss assignments with the TA or to ask about activities from class.

### Technology Requirements
* Camera is optional although highly encouraged. I understand that not everyone may have the space at home to have the camera on.

### Lesson Schedule
* Monday 29 January, 6pm-8:30pm: Intro and overview, getting started with matplotlib
* Tuesday 30 January, 6pm-8:30pm: Exploring matplotlib, reproducible data visualization
* Wednesday 31 January, 6pm-8:30pm: Customizing our plots
* Thursday 1 February, 6pm-8:30pm: Choosing the right visualization
* Monday 5 February, 6pm-8:30pm: Subplots and combining visualizations
* Tuesday 6 February, 6pm-8:30pm: Accessible data visualization
* Wednesday 7 February, 6pm-8:30pm: Data visualization as advocacy, beyond matplotlib
* Thursday 8 February, 6pm-8:30pm: Industry guest speaker, course review
* Tuesday April 9th, 6pm-8:30pm: Intro and overview
* Thursday April 11th, 6pm-8:30pm: Intro to matplotlib
* Saturday April 13th, 9am-11:30am: Exploring matplotlib
* Tuesday April 16th, 6pm-8:30pm: Exploring matplotlib cont., reproducible data Visualization
* Wednesday April 17th, 6pm-8:30pm: Customizing our plots
* Thursday April 18th, 6pm-8:30pm: Choosing the right visualizations
* Saturday April 20th, 9am-11:30am: Subplots and combining visualizations
* Tuesday April 23rd, 6pm-8:30pm: Accessible data visualization
* Wednesday April 24th, 6pm-8:30pm: Data visualizations as advocacy, beyond matplotlib
* Thursday April 25th, 6pm-8:30pm: Beyond matplotlib (cont.)
* Saturday April 27th, 9am-11:30am: Course review


## Policies
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