Este curso forma parte de Programa especializado: Gender Analytics: Gender Equity through Inclusive Design

4.8
estrellas
51 calificaciones

Sarah Kaplan +3 instructores más

1889 ya inscrito

Ofrecido Por

Programa especializado: Gender Analytics: Gender Equity through Inclusive DesignUniversidad de Toronto

Acerca de este Curso

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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.

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Curso 2 de 5 en

Programa especializado: Gender Analytics: Gender Equity through Inclusive Design

Aprox. 8 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Qué aprenderás

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.

Habilidades que obtendrás

Business Analytics
Gender Based Analysis
Qualitative and Quantitative Data Analysis
Stakeholder Analysis
community engagement

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 2 de 5 en

Programa especializado: Gender Analytics: Gender Equity through Inclusive Design

Aprox. 8 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructores

Calificación del instructor

4,82/5 (20 calificaciones)

Ofrecido por

Universidad de Toronto

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Programa - Qué aprenderás en este curso

Semana1

Semana 1

2 horas para completar

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.

2 horas para completar

6 videos (Total 22 minutos), 4 lecturas, 1 cuestionario

6 videos

Introduction to Inclusive Analytic Techniques2mWhy should we collect information about diverse communities? 5mWhy should someone provide you with information?2mAddressing legal requirements in a global context2mAnchoring your research in the lived experience of informants4mEthics planning in community-based research5m

4 lecturas

Land Acknowledgement1mFaculty biographies10mCase example: IBM’s Self ID Program10mFirst Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP)15m

1 ejercicio de práctica

Assessment 130m

Semana2

Semana 2

2 horas para completar

Quantitative data analysis through a gender lens: probability

2 horas para completar

8 videos (Total 62 minutos), 3 lecturas, 1 cuestionario

8 videos

Introduction to probability9mWhat we need to know about probability5mStatistical inference6mTesting a hypothesis – Intuition8mFormulating hypotheses2mTesting a hypothesis – calculation using Excel14mAnalyzing subsets within your data6mAnalyzing multiple subsets at once8m

3 lecturas

Probability distributions 10m[Optional] Confidence intervals – is Brian’s coin a “fair coin”? 10m[Exercise] Calculate a probability10m

1 ejercicio de práctica

Assessment 230m

Semana3

Semana 3

2 horas para completar

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.

2 horas para completar

7 videos (Total 50 minutos)

Semana4

Semana 4

2 horas para completar

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.

2 horas para completar

12 videos (Total 62 minutos), 3 lecturas, 1 cuestionario

12 videos

What is qualitative community-based research7mCommunity engagement principles4mParticipatory data collection methods7mValuing lived experience5mEmpathy4mCommunity engagement steps 1-26mCommunity engagement steps 3-54mInclusive participatory practices3mEngaging new groups3mAnalyzing qualitative data8mApplication Spotlight: Application to your project workplan2mCourse recap: Inclusive analytic techniques2m

3 lecturas

IAP2 Spectrum of Public Participation10m[Worksheet] Research plan for your Gender Analytics project30mCongratulations!10m

1 ejercicio de práctica

Assessment 430m

Reseñas

4.8

12 reseña

5 stars
84,61 %
4 stars
13,46 %
1 star
1,92 %

Principales reseñas sobre INCLUSIVE ANALYTIC TECHNIQUES

por DG21 de jul. de 2021

This course highlights the quantitative and qualitative techniques required for topics discussed in the 1st of the 5 modules. It an incredible course. And a must do for all others.

por KA15 de abr. de 2021

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

por MM8 de ene. de 2022

This course gives you a clear explanations of scientifically research methods with emphasizing on inclusive analytics. Highly recommended to everyone with keen interest on research.

por SS23 de jun. de 2021

Phenomenal course! This has really illuminated my perspective on what is an indubitably integral topic. Would highly recommend for everyone!

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Acerca de Programa especializado: Gender Analytics: Gender Equity through Inclusive Design

Current conversations about diversity & inclusion often forget that these are not just HR issues but affect how products, services, processes & policies create outcomes that differ by gender, race, differences in ability, indigeneity & other intersecting identities. Gender Analytics is a methodology that allows you to create opportunities for business or policy impact by using gender-based insights to design transformational solutions. More here...

In 5 courses offered by the Institute for Gender and the Economy, you will: >Examine how policies, products, services & processes have gendered impacts that miss opportunities or create needless risks >Break norms that perpetuate exclusion in serving customers/beneficiaries >Get comfortable with concepts such as sex, gender identity & intersectionality >Learn qualitative & quantitative analytical techniques to uncover intersectional gender-based insights >Use human-centred design to create innovative solutions >Become a transformational leader Who is this designed for? >Business leaders who want to use gender insights to innovate >Government & NGO professionals who want to do gender-based analysis (GBA+) >Women’s studies experts seeking job-related applications >Business analytics experts extending their skills to questions of equity >Human resources professionals looking to be partners for business innovation *Academic Director: Sarah Kaplan; Project Lead: Lechin Lu; Teaching Consultant: Kim de Laat

Gender Analytics: Gender Equity through Inclusive Design

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Inclusive Analytic Techniques

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás

Instructores

Sarah Kaplan

Brian Silverman

Chanel Grenaway

Karen Sihra, PhD

Ofrecido por

Universidad de Toronto

Programa - Qué aprenderás en este curso

Ethical and legal considerations in inclusive data collection

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

Reseñas

Principales reseñas sobre INCLUSIVE ANALYTIC TECHNIQUES

Acerca de Programa especializado: Gender Analytics: Gender Equity through Inclusive Design

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Inclusive Analytic Techniques

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás

Instructores

Sarah Kaplan

Brian Silverman

Chanel Grenaway

Karen Sihra, PhD

Ofrecido por

Universidad de Toronto

Programa - Qué aprenderás en este curso

Ethical and legal considerations in inclusive data collection

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

Reseñas

Principales reseñas sobre INCLUSIVE ANALYTIC TECHNIQUES

Acerca de Programa especializado: Gender Analytics: Gender Equity through Inclusive Design

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