Module 1: Data, Binning, Coding
Students will conceptualize the idea of data, categorization, and binning. After conceptualizing these ideas, students will utilize coding, specifically SQL, to extract data from databases (LO 1 G 1a). Queries will be created using various SQL syntax features. Students will be introduced to Google Big Query. Students will use SQL to extract fashion data and answer questions (LO 1 G 1b). Students will ideate various possibilities for data usage in marketing cosmetic products (LO 1 G 1c). Students will submit their data set and query in Canvas for the instructor to provide feedback on. Course members will be asked to explain the value of their query and the purpose.
Module 2: Fashionista Stories
Pupils will begin to design stories from data surrounding fashion and marketing. Various softwares will be used to create different graphs to communicate the stories (LO 2 G 2b). Students will use Google sheets, Tableau, Flourish, etc (LO 2 G 2a). Two visualizations will be created and submitted in Canvas to illustrate students’ mastery of the software systems along with hypotheses regarding the story behind the data (LO 2 G 2c).
Module 3: Communicating the Beauty
Students will be asked to work in teams to draft presentations of their visualizations. The art of articulating statistics to others is difficult to master. In peer groups, students will provide feedback on others’ communications about their visualizations (LO 3 G 3a). The science of prediction is also necessary in this module. In this module, students will be evaluated on their discussion feedback to peers. The ability to provide constructive criticism and work in a team is vital to be a member of the data science community (LO 3 G 3b). The students will present their projects to an audience to celebrate their hard work.
Module 4: Fashion Collaborations
This module will focus on the importance of creating a network of women in technology. Mentorship, bias, and dismantling negative stereotypes will be the focus of the module (LO 4 G 4a). Girls will become connected to women in technology fields and given the opportunity to learn from them. Historical women figures in STEM will also be focused on to provide girls with an identity baseline to shape their thinking. At the end of the module, members of the class will be asked to write about their STEM identity through a written paragraph and drawing (LO 4 G 4b).
Module 5: Data Design
This module will contain the culminating project for the course. Students will utilize all the previous modules in a comprehensive project, where they design a data study on the topic of their choice. This project will require coding skills, data analysis skills, statistical knowledge, and communication abilities (LO 5 G 5a, 5b). Students will create a paper with various visualizations, communication regarding their data dive, and any hypotheses/statistics that came out of the data study (LO 5 G 5c). Papers will be displayed in a fashion show, where girls can “model” their findings.