Ementorhub

What you'll 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'll gain

Qualitative Research

Data Collection

Probability

Diversity and Inclusion

Regression Analysis

Statistical Analysis

Correlation Analysis

Research

Focus Group

Quantitative Research

Stakeholder Engagement

Analytics

Data Ethics

Data Analysis

Surveys

There are 4 modules in this course

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.

Quantitative data analysis through a gender lens: probability

Quantitative data analysis through a gender lens: data and interpretation

Qualitative data collection: community-based engagement with stakeholders