University of Toronto - Inclusive Analytic Techniques
- Offered byCoursera
Inclusive Analytic Techniques at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Inclusive Analytic Techniques at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 5 in the Gender Analytics: Gender Equity through Inclusive Design Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 8 hours to complete
- English Subtitles: English
Inclusive Analytic Techniques at Coursera Course details
- Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Everything from snow plowing to car safety to investment advising to infrastructure investment has impacts that differ by gender. These outcomes can be even more biased if we look at important intersections with race, indigeneity, differences in ability, ethnicity, sexual orientation, and other identities. The question is, what can you do to change this? And, how can you avoid the risks of bias or create innovative new offerings using gender-based insights?
- Inclusive Analytics Techniques will provide you with the tools and analytical techniques to uncover these intersectional insights. The course covers both quantitative and qualitative data collection and analysis, including basic statistical techniques and practical instructions for working with customers, beneficiaries and other stakeholders. You will learn to incorporate multiple sources of rich evidence in order to develop innovative insights into how policies, products, services and processes can be made more equitable or serve unique communities.
- This is the second course of the Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) at the University of Toronto's Rotman School of Management. It's great on its own, and you will get even more out of it if you take it as part of the Specialization.
Inclusive Analytic Techniques at Coursera Curriculum
Ethical and legal considerations in inclusive data collection
Introduction to Inclusive Analytic Techniques
Why should we collect information about diverse communities?
Why should someone provide you with information?
Addressing legal requirements in a global context
Anchoring your research in the lived experience of informants
Ethics planning in community-based research
Land Acknowledgement
Faculty biographies
Case example: IBM?s Self ID Program
First Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP)
Assessment 1
Quantitative data analysis through a gender lens: probability
Introduction to probability
What we need to know about probability
Statistical inference
Testing a hypothesis ? Intuition
Formulating hypotheses
Testing a hypothesis ? calculation using Excel
Analyzing subsets within your data
Analyzing multiple subsets at once
Probability distributions
[Optional] Confidence intervals ? is Brian?s coin a ?fair coin??
[Exercise] Calculate a probability
Assessment 2
Quantitative data analysis through a gender lens: data and interpretation
Data collection and the data generation process
Where to find data
Are the data reasonable?
Interpreting results
Analyzing relationships: correlation
Analyzing relationships: regression
Taking evidence-based action
Evaluate quantitative data-collection plans
Assessment 3
Qualitative data collection: community-based engagement with stakeholders
What is qualitative community-based research
Community engagement principles
Participatory data collection methods
Valuing lived experience
Empathy
Community engagement steps 1-2
Community engagement steps 3-5
Inclusive participatory practices
Engaging new groups
Analyzing qualitative data
Application Spotlight: Application to your project workplan
Course recap: Inclusive analytic techniques
IAP2 Spectrum of Public Participation
[Worksheet] Research plan for your Gender Analytics project
Congratulations!
Assessment 4