Inclusive Analytic Techniques from Coursera

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.

What's inside

Syllabus

Ethical and legal considerations in inclusive data collection

When collecting and analyzing data from diverse communities, it is important to recognize that this can create vulnerabilities for marginalized individuals and groups. In this module, you will learn about the legal frameworks and ethical requirements related to collecting, storing, analyzing, and disseminating data, paying attention to different country contexts. By the end of the week, you will understand potential risks to research participants and find ways to mitigate such risks and appropriately compensate them for their time and efforts in the data collection and design process. These considerations are important to take into account before you move forward with any data collection and analysis projects.

Quantitative data analysis through a gender lens: probability

This session will review basic principles of quantitative data analysis, including probability and hypothesis testing, through fun examples and exercises. By the end of the week, you will be able to conduct basic calculations to analyze quantitative data and develop the intuition behind statistical inference and hypothesis testing to understand analytical reports generated by others.

Quantitative data analysis through a gender lens: data and interpretation

This week, we will shed light on how data is produced and how to uncover gender-based insights from data. By the end of the week, you will understand the data generation process, know where to locate sources of gender-disaggregated data, and analyze relationships to interpret results. You will see how emerging insights from gender-disaggregated data analysis can shape the evolution of the problem statement and identify areas for further data collection.

Qualitative data collection: community-based engagement with stakeholders

A big part of applying a gender lens to data analysis is obtaining different perspectives, especially from underrepresented groups. One way to do this is through qualitative research in the communities of interest. This week, you will explore the art of meaningful community engagement. By the end of this week, you will have a better understanding of the concept and value of community engagement as a qualitative data source. You will learn the steps to collect and analyze qualitative data to gain insight into people’s emotions, motivations, aspirations, and pain points. You will also learn how engage responsibly with vulnerable or marginalized communities.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces the concept of gender-based insights and their importance in creating equitable and inclusive policies, products, services, and processes

Taught by known experts in the field of gender analytics, including Sarah Kaplan, Brian Silverman, Chanel Grenaway, and Karen Sihra, PhD

Covers ethical and legal considerations in inclusive data collection, ensuring responsible and ethical data handling practices

Provides foundational knowledge in quantitative and qualitative data analysis techniques, empowering learners to uncover gendered insights from data

Emphasizes the importance of engaging with stakeholders and obtaining diverse perspectives through community-based qualitative research

Requires no prior knowledge in gender analytics, making it accessible to learners from various backgrounds

Reviews summary

Well-received course on inclusive techniques

Learners say Inclusive Analytic Techniques is a well-received course with great content from diverse instructors. The course is useful for learning quantitative and qualitative techniques. It is especially helpful for those interested in Gender Analytics and Initiatives. While some learners didn't get many opportunities to apply their skills, most learners found the course to be accessible and engaging.

Course provides technical details

"The course provided many technical details on quantitative analysis in a simplied manner with practical examples."

Course includes industry examples

"Very comprehensive and close to reality"

Course content is engaging

"I have a fear of maths, but this course and the professor were extremely engaging and it was a lot of fun to study and come out of this course with great insights "

Course instruction is clear

"Terrific information and clear delivery."

"Great course with diverse instructors that delivered a lot of material in a concise and accessible manner!"

Diverse instructors

"Great course with diverse instructors that delivered a lot of material in a concise and accessible manner!"

Course is helpful for Gender Analytics and Initiatives

"This was an absolutely amazing and relevant course for anyone interested in pursuing Gender Analytics and Initiatives."

Course lacks application opportunities

"Terrific information and clear delivery. I trust the sources and faculty and learned alot. However, I didn't get to apply my skills to analytic techniques enough to say I am competent beyond theory and reading."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Inclusive Analytic Techniques with these activities:

Review Basic Statistics and Probability

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Reinforce foundational understanding of probability and basic statistical techniques

Browse courses on Basic Statistics

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Go over class notes and textbooks on probability and statistics
Solve practice problems and exercises

Attend a Workshop on Intersectionality

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Gain a deeper understanding of the complexities of gender and other identities

Browse courses on Intersectionality

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Attend an in-person or virtual workshop on intersectionality
Engage with facilitators and participants
Reflect on your own experiences and biases

Read 'Gender in the Workplace: Women and Men at Work'

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Provide insights into gender-based workplace dynamics and biases

View Bias Interrupted on Amazon

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Read the book
Take notes on key concepts and insights
Reflect on how the concepts apply to your own experiences

Four other activities

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Explore Interactive Data Visualization Tools

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Familiarize yourself with tools for creating compelling data visualizations

Browse courses on Data Visualization

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Enroll in online tutorials on Tableau or Power BI
Follow along with the tutorials and practice creating visualizations
Experiment with different data sets and visualization techniques

Analyze Data Sets Using Gender-Sensitive Metrics

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Develop proficiency in analyzing data through a gender lens

Browse courses on Data Analysis

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Identify appropriate gender-sensitive metrics for specific data sets
Apply statistical techniques to analyze data and identify trends
Interpret results and draw conclusions about gender-based disparities

Contribute to an Open-Source Project on Gender Data

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Gain practical experience with gender-based data analysis

Browse courses on Data Science

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Identify an open-source project that aligns with your interests
Contact the project maintainers and express your interest in contributing
Review the project's codebase and documentation
Make a meaningful contribution to the project

Develop a Proposal for a Gender-Inclusive Project

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Apply course concepts to design a project or policy that promotes gender equity

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Identify a problem or opportunity related to gender inequality
Research and analyze the issue
Develop a project or policy proposal that addresses the issue
Present the proposal to stakeholders for feedback

Career center

Learners who complete Inclusive Analytic Techniques will develop knowledge and skills that may be useful to these careers:

Social Scientist

Social Scientists study human behavior and social institutions. This course may be useful for Social Scientists who want to specialize in gender studies or social impact assessment. The course covers a range of qualitative and quantitative research methods, as well as ethical and legal considerations in data collection. These skills can help Social Scientists to conduct rigorous and insightful research on gender issues, leading to a better understanding of the social world.

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Statistician

Statisticians collect, analyze, and interpret data to make inferences about the world. This course may be useful for Statisticians who want to specialize in gender-based data analysis. The course covers both quantitative and qualitative data analysis techniques, as well as ethical and legal considerations in data collection. These skills can help Statisticians to identify and address gender biases in data, leading to more accurate and insightful statistical models.

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Economist

Economists study the production, distribution, and consumption of goods and services. This course may be useful for Economists who want to specialize in gender economics. The course covers both quantitative and qualitative data analysis techniques, as well as ethical and legal considerations in data collection. These skills can help Economists to identify and address gender biases in economic data, leading to more accurate and insightful economic models.

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Market Researcher

Market Researchers collect, analyze, and interpret data to understand consumer behavior and market trends. This course may be useful for Market Researchers who want to specialize in gender-based market analysis. The course covers both quantitative and qualitative data analysis techniques, as well as ethical and legal considerations in data collection. These skills can help Market Researchers to identify and address gender biases in market research data, leading to more accurate and insightful reports.

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Researcher

Researchers conduct original research to contribute to new knowledge in their field. This course may be useful for Researchers who want to specialize in gender studies or social impact assessment. The course covers a range of qualitative and quantitative research methods, as well as ethical and legal considerations in data collection. These skills can help Researchers to conduct rigorous and insightful research on gender issues, leading to a better understanding of the social world.

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Sociologist

Sociologists study human societies and social interactions. This course may be useful for Sociologists who want to specialize in gender studies or social impact assessment. The course covers a range of qualitative and quantitative research methods, as well as ethical and legal considerations in data collection. These skills can help Sociologists to conduct rigorous and insightful research on gender issues, leading to a better understanding of the social world.

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Data Scientist

Data Scientists use data to solve complex problems and make predictions. This course may be useful for Data Scientists who want to specialize in gender-based data analysis. The course covers both quantitative and qualitative data analysis techniques, as well as ethical and legal considerations in data collection. These skills can help Data Scientists to identify and address gender biases in data, leading to more accurate and insightful models.

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Diversity and Inclusion Manager

Diversity and Inclusion Managers develop and implement strategies to promote diversity and inclusion in organizations. This course may be useful for Diversity and Inclusion Managers who want to use data to inform their work. The course covers ethical and legal considerations in data collection, as well as qualitative and quantitative data analysis techniques. These skills can help Diversity and Inclusion Managers to identify and address biases in their organizations, leading to more inclusive and equitable workplaces.

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Consultant

Consultants provide advice and expertise to organizations on a range of issues. This course may be useful for Consultants who want to specialize in diversity and inclusion consulting. The course covers ethical and legal considerations in data collection, as well as qualitative and quantitative data analysis techniques. These skills can help Consultants to identify and address biases in organizations, leading to more inclusive and equitable workplaces.

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Policy Analyst

Policy Analysts research and analyze public policies to inform decision-making. This course may be useful for Policy Analysts who want to specialize in gender-based policy analysis. The course covers ethical and legal considerations in data collection, as well as qualitative and quantitative data analysis techniques. These skills can help Policy Analysts to identify and address gender biases in policy, leading to more equitable and effective policies.

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Nonprofit Manager

Nonprofit Managers oversee the operations of nonprofit organizations. This course may be useful for Nonprofit Managers who want to use data to inform their work. The course covers ethical and legal considerations in data collection, as well as qualitative and quantitative data analysis techniques. These skills can help Nonprofit Managers to identify and address needs in their communities, leading to more effective and impactful programs.

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Urban Planner

Urban Planners design and manage urban environments. This course may be useful for Urban Planners who want to create more inclusive and equitable cities. The course covers ethical and legal considerations in data collection, as well as qualitative and quantitative data analysis techniques. These skills can help Urban Planners to identify and address gender biases in urban planning, leading to more inclusive and livable cities.

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Program Manager

Program Managers oversee the planning, implementation, and evaluation of programs and projects. This course may be useful for Program Managers who want to design and implement inclusive programs that meet the needs of diverse communities. The course covers ethical and legal considerations in data collection, as well as qualitative data collection techniques. These skills can help Program Managers to engage with stakeholders from diverse backgrounds and to gather data that can be used to develop more inclusive programs.

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Community Organizer

Community Organizers work with communities to identify and address their needs. This course may be useful for Community Organizers who want to build inclusive and equitable communities. The course covers ethical and legal considerations in data collection, as well as qualitative data collection techniques. These skills can help Community Organizers to engage with diverse community members and to gather data that can be used to develop more inclusive and effective community programs.

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Data Analyst

Data Analysts bridge the gap between data and business decision-making, using their expertise in statistics, programming, and data management to uncover insights from data. This course may be useful for Data Analysts seeking advancement, as it provides specialized training in analyzing data through a gender lens. The course covers both quantitative and qualitative data analysis techniques, as well as ethical and legal considerations in data collection. These skills can help Data Analysts to identify and address gender biases in data, leading to more equitable and informed decision-making.

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