About this Course

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Approx. 8 hours to complete
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What you will learn

  • Understand legal & ethical frameworks for collecting, storing, analyzing, and disseminating data to reduce vulnerabilities for marginalized people.

  • Examine how quantitative data is produced, identify gender-related data gaps; & use analytics skills to uncover intersectional gender-based insights

  • Collaborate with stakeholders to gain an in-depth understanding of unmet needs using community-based and ethnographic research methods

  • Learn quantitative & qualitative research and analysis techniques; explore how to integrate insights from both types of data to generate insight.

Skills you will gain

Business AnalyticsGender Based AnalysisQualitative and Quantitative Data AnalysisStakeholder Analysiscommunity engagement
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 8 hours to complete
English

Offered by

Placeholder

University of Toronto

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Ethical and legal considerations in inclusive data collection

2 hours to complete
6 videos (Total 22 min), 4 readings, 1 quiz
6 videos
Why should we collect information about diverse communities? 5m
Why should someone provide you with information?2m
Addressing legal requirements in a global context2m
Anchoring your research in the lived experience of informants4m
Ethics planning in community-based research5m
4 readings
Land Acknowledgement1m
Faculty biographies10m
Case example: IBM’s Self ID Program10m
First Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP)15m
1 practice exercise
Assessment 130m
Week
2

Week 2

2 hours to complete

Quantitative data analysis through a gender lens: probability

2 hours to complete
8 videos (Total 62 min), 3 readings, 1 quiz
8 videos
What we need to know about probability5m
Statistical inference6m
Testing a hypothesis – Intuition8m
Formulating hypotheses2m
Testing a hypothesis – calculation using Excel14m
Analyzing subsets within your data6m
Analyzing multiple subsets at once8m
3 readings
Probability distributions 10m
[Optional] Confidence intervals – is Brian’s coin a “fair coin”? 10m
[Exercise] Calculate a probability10m
1 practice exercise
Assessment 230m
Week
3

Week 3

2 hours to complete

Quantitative data analysis through a gender lens: data and interpretation

2 hours to complete
7 videos (Total 50 min)
7 videos
Where to find data7m
Are the data reasonable?4m
Interpreting results6m
Analyzing relationships: correlation9m
Analyzing relationships: regression7m
Taking evidence-based action1m
2 practice exercises
Evaluate quantitative data-collection plans30m
Assessment 330m
Week
4

Week 4

2 hours to complete

Qualitative data collection: community-based engagement with stakeholders

2 hours to complete
12 videos (Total 62 min), 2 readings, 1 quiz
12 videos
Community engagement principles4m
Participatory data collection methods7m
Valuing lived experience5m
Empathy4m
Community engagement steps 1-26m
Community engagement steps 3-54m
Inclusive participatory practices3m
Engaging new groups3m
Analyzing qualitative data8m
Application Spotlight: Application to your project workplan2m
Course recap: Inclusive analytic techniques2m
2 readings
IAP2 Spectrum of Public Participation10m
[Worksheet] Research plan for your Gender Analytics project30m
1 practice exercise
Assessment 430m

About the Gender Analytics: Gender Equity through Inclusive Design Specialization

Gender Analytics: Gender Equity through Inclusive Design

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