К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Inclusive Analytic Techniques · LearnSpace
Назад в каталог
courseraБизнес

Inclusive Analytic Techniques

Курс от University of Toronto
Уровень не указан≈ 8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Data CollectionData EthicsRegression AnalysisQualitative ResearchCorrelation AnalysisCommunity OutreachStatistical AnalysisAnalytical SkillsQuantitative ResearchProbability & StatisticsData AnalysisAnalyticsResearch MethodologiesDiversity and InclusionBusiness AnalyticsData SynthesisResearchStakeholder AnalysisFocus GroupStatistical Inference

Программа курса

4 модулей · 50 учебных материалов

01Ethical and legal considerations in inclusive data collection13 материалов

Welcome

Introduction to Inclusive Analytic TechniquesВидеоLand AcknowledgementЧтениеFaculty biographiesЧтение

Ethical and legal considerations

Why should we collect information about diverse communities? Видео

Учитесь у экспертов

Sarah Kaplan

Professor Emerita & Founding Director, Institute for Gender and the Economy (GATE)

Brian Silverman

J.R.S. Prichard and Ann Wilson Chair in Management; Professor of Strategic Management

Chanel Grenaway

Principal

Karen Sihra, PhD

Director of Inclusion and Diversity

Inclusive Analytic Techniques
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 8 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
Benefits of collecting diversity dataОбсуждение
Why should someone provide you with information?Видео
Barriers to data collectionОбсуждение
Addressing legal requirements in a global contextВидео
Anchoring your research in the lived experience of informantsВидео
Case example: IBM’s Self ID ProgramЧтение
Ethics planning in community-based researchВидео
First Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP)Чтение
Assessment 1Задание
02Quantitative data analysis through a gender lens: probability12 материалов

Basic probability

Introduction to probabilityВидеоWhat we need to know about probabilityВидеоProbability distributions ЧтениеStatistical inferenceВидео[Optional] Confidence intervals – is Brian’s coin a “fair coin”? Чтение[Exercise] Calculate a probabilityЧтение

Hypothesis testing

Testing a hypothesis – IntuitionВидеоFormulating hypothesesВидеоTesting a hypothesis – calculation using ExcelВидеоAnalyzing subsets within your dataВидеоAnalyzing multiple subsets at onceВидеоAssessment 2Задание
03Quantitative data analysis through a gender lens: data and interpretation9 материалов

Where and how to get data

Data collection and the data generation processВидеоEvaluate quantitative data-collection plansЗаданиеWhere to find dataВидеоAre the data reasonable?Видео

Analyzing relationships and interpreting results

Interpreting resultsВидеоAnalyzing relationships: correlationВидеоAnalyzing relationships: regressionВидеоTaking evidence-based actionВидеоAssessment 3Задание
04Qualitative data collection: community-based engagement with stakeholders16 материалов

Understanding community-based research methods

What is qualitative community-based researchВидеоCommunity engagement principlesВидеоParticipatory data collection methodsВидеоValuing lived experienceВидеоEmpathyВидео

Purposeful planning of community engagement

Community engagement steps 1-2ВидеоIAP2 Spectrum of Public ParticipationЧтениеCommunity engagement steps 3-5ВидеоInclusive participatory practicesВидеоEngaging new groupsВидео

Qualitative data analysis

Analyzing qualitative dataВидеоAssessment 4Задание

Course summary

Application Spotlight: Application to your project workplanВидео[Worksheet] Research plan for your Gender Analytics projectЧтениеCourse recap: Inclusive analytic techniquesВидеоCongratulations!Чтение