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June 29 – July 15, 2021
This is a crash course in “movement data,” with a deep dive into data for legislative advocacy and organizing (including distributed organizing). Over the course of three weeks, participants will practice building an organizing plan with metric goals, learn how models work, and develop tests. They will also investigate and practice working with open data, and assessing the data safety of their organization.
This course is intended to be combined with a data engineering course. We will be offering VAN/EveryAction Administration and Building Analytics Reports with Google Sheets in mid-July. If you are admitted into Data Strategy, you will also be given the option to enroll automatically in either (or both) engineering courses.
This is an interactive course. We ask participants to write in the chat box, share verbally, and participate in breakout group discussion. We understand that folks have a lot going on though, so if you are not able to participate in a breakout discussion you can let the tech moderator know.
We encourage, but do not require, participants to turn on video during breakout discussions.
Participants should set aside about 5 hours a week for coursework—including attending live webinar sessions, optional homework, and office hours.
Who is this course for?
- Open to new things: Participants should be excited about challenging themselves to learn new ways of doing the work and partnering with others to come up with creative solutions.
- Staff across departments: This course is helpful for staff across departments: Data, organizing, and digital staff will all find that this course takes their work to the next level.
- Future Data Managers & Directors: Past students have successfully pivoted to data manager & data director roles after completing this course.
June 29–July 15
- Tuesdays and Thursdays; 6:30–8 pm ET
- Optional office hours: Date and time TBD
Thursday, June 24. Admissions decisions will be made on a rolling basis.
We believe people with more wealth, privilege, and access to money—and who benefit from systems of oppression —should pay more.
If you work at an organization with more than 60 employees, please ask your employer to cover the full cost of this training. If there’s anything that would help you make the request, please let us know.
We know that this might be a new way of looking at things. Please reach out to firstname.lastname@example.org if you have any questions.
You’ll make a sliding scale contribution of $200–600 for the Data Strategy course. For each engineering course (VAN/EA Administration and Building Analytics with Google Sheets), you’ll make an additional $200 contribution.
Ideal applicants come from all walks of life—we welcome everyone from data practitioners looking to sharpen their skills, to complete beginners who are passionate about organizing. Here are some attributes shared by all our applicants:
Technical Aptitude: Whether you have experience working directly with data or not, we are interested in organizers who are able to pick up new technical skills quickly and proficiently. If you like spreadsheets and lists, or investigating innovative ways of organizing, you may be a good fit.
Organizing Insight: You don’t need to be a professional politico, but we’re looking for applicants with experience doing organizing work on the ground. That work can be tied to grassroots, electoral, and/or issue organizing. We seek to support organizers who are currently part of an organizing effort or are seeking to build one.
Dedication to Inclusive Politics and Intersectional Solutions: At re:power, we center race, class, gender and sexuality across all our trainings—it’s part of our practice of inclusive politics. We encourage organizers to be open to new ideas regarding inclusive politics, especially from their fellow organizers who will reflect our diverse communities.
You will need a technological device capable of connecting to the Internet and downloading files. Windows, Macs and Unix computers all welcome.
If you have any questions, please reach out to email@example.com.