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
Data for Effective Policy Making · LearnSpace
Назад в каталог
courseraIT и технологии

Data for Effective Policy Making

Курс от Banco Interamericano de Desarrollo
Начальный≈ 39.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In this age of information, data is available everywhere and grows at an exponential rate. How can we make sense of all this data? How do we take advantage of data when making decisions? How do we use data to help us guide the management and planning of our policies? Whether you're a citizen or a policymaker, learning the answers to these questions can benefit you greatly. In this course, you will strengthen your ability to use, understand and interpret data and gain the tools to navigate data, perform and interpret visualizations, and understand the different types of data analysis according to the policy to be implemented. Relax, it's not a statistics course! However, you will acquire the knowledge necessary to interpret graphs, statistical reports and understand their language. And, most importantly, you will acquire the foundations to be able to base your decisions on verifiable data, beyond intuition.

Навыки, которые вы освоите

Data QualityData-Driven Decision-MakingResearch MethodologiesProgram EvaluationStatistical AnalysisData EthicsData CollectionResearch DesignPolicy DevelopmentData ManagementPublic PoliciesResearchData AnalysisPolicy AnalysisData VisualizationData PresentationStatistical MethodsData Literacy

Программа курса

6 модулей · 94 учебных материалов

01Module 1. The Importance of Data in Decision Making21 материалов

1.1 Star here

1.1.1 Welcome to the CourseВидео1.1.2 Important Course InformationЧтение1.1.3 Meet Your InstructorsЧтение1.1.4 Introduce Yourself to Your ClassmatesОбсуждение

Учитесь у экспертов

Andrea Leonelli

Learning and Knowledge Senior Specialist

Data for Effective Policy Making
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

≈ 39.7 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
1.1.5 Tell Us About YourselfPLUGIN

1.2 What Is an Evidence-Based Decision Making?

1.2.1 Storytelling: Meet Reshma SmithЧтение1.2.2 Why Is It Important to Use Data in Decision Making?Видео1.2.3 What Is Evidence-Based Decision Making?Чтение1.2.4 What is Data Analysis?Видео1.2.5 Using Data to Optimize Healthcare OutcomesВидео1.2.6 Greenhouse Gas Emissions and Agricultural PolicyЧтение

1.3 Questionnaire 1.1

1.3.1 Questionnaire 1.1Задание

1.4 Data Analysis and Decision Making

1.4.1 The Benefit of Data Analysis for the Public SectorВидео1.4.2 The Importance of Data Quality and ReliabilityЧтение1.4.3 Decision Making and Artificial IntelligenceЧтение1.4.4 The Value of Data for the Design of Public PolicyВидео1.4.5 Open Data PortalsЧтение1.4.6 How Data Visualization Can Support the ProcessЧтение1.4.7 Data: an Important Aspect of Decision Making?Обсуждение

1.5 Questionnaire 1.2

1.5.1 Questionnaire 1.2Задание

1.6 Module Conclusion

1.6.1 Key TakeawaysЧтение
02Module 2. Converting Concepts into Measurable Parameters20 материалов

2.1 Introduction

2.1.1 Welcome to Module 2Видео

2.2 Identify the Study Problem

2.2.1 Storytelling: How to Identify the Main Problem. The Problem Tree AnalysisЧтение2.2.2 Identifying the Main Problem of a StudyЧтение2.2.3 Bird Flu Case-Study: Part OneЧтение2.2.4 Practical Activity: Creating a TreeЧтение2.2.5 What it is a Hypothesis?Чтение2.2.6 How to Formulate a Hypothesis?Чтение2.2.7 Practical Activity: Identifying the Study's HypothesisЗадание

2.3 Questionnaire 2.1

2.3.1 Questionnaire 2.1Задание

2.4 Select the Appropriate Variables

2.4.1 Storytelling: Types of Variables and Converting Concepts into Measurable VariablesЧтение2.4.2 Converting Concepts into Measurable VariablesЧтение2.4.3 Types of VariablesВидео2.4.4 Indicators, Statistics, and VariablesЧтение2.4.5 Comparing Caribbean DataВидео2.4.6 Evaluating the Effectiveness of Privately Managed SchoolsЧтение

2.5 Creative Challenge: Part One

2.5.1 Creative Challenge: Part One (Optional Activity)Взаимная проверка

2.6 Questionnaire 2.2.

2.6.1 Questionnaire 2.2Задание

2.7 Module Conclusion

2.7.1 Key TakeawaysЧтение
03Module 3. Understanding Data Analysis22 материалов

3.1 Introduction

3.1.1 Welcome to Module 3Видео

3.2 The Collection of Data

3.2.1 Storytelling: Utilizing Data for Statistical AnalysisЧтение3.2.2 Data Collection StrategiesЧтение3.2.3 Household Surveys to Calculate the Value of Environmental GoodsВидео3.2.4 Ethical Data ManagementВидео3.2.5 Ethical Risks in Relation to DataЧтение3.2.6 InfoGuideЧтение

3.3 Questionnaire 3.1

3.3.1 Questionnaire 3.1Задание

3.4 Types of Studies

3.4.1 Types of StudiesВидео3.4.2 Important Ideas on Data QualityЧтение3.4.3 Latest Trends in the Application of Statistical MethodsЧтение

3.5 Questionnaire 3.2

3.5.1 Questionnaire 3.2Задание

3.6 Methods of Data Analysis

3.6.1 Relationships Between Two VariablesЧтение3.6.2 Comparison Between Two GroupsВидео3.6.3 Practical Activity: T-TestЗадание3.6.4 Chi SquareЧтение3.6.5 Analysis of Multiple CategoriesВидео3.6.6 Summary of Analysis MethodsЧтение

3.7 Creative Challenge: Part Two

3.7.1 Creative Challenge: Part Two (Optional Activity)Взаимная проверка

3.8 Questionnaire 3.3

3.8.1 Questionnaire 3.3Задание

3.9 Module Conclusion

3.9.1 Key TakeawaysЧтение
04Module 4. Displaying the Results11 материалов

4.1 Introduction

4.1.2 Welcome to Module 4Видео

4.2 Visualizations

4.2.1: Storytelling: Types of GraphicsЧтение4.2.2 The History of VisualizationsЧтение4.2.3 Chart TypesЧтение4.2.4 How to Create Effective VisualizationsЧтение

4.3 Questionnaire 4.1

4.3.1 Questionnaire 4.1Задание

4.4 How to Interpret Visualizations?

4.4.1 Visualizations of Data and StatisticsЧтение4.4.2 How to Add ContextВидео4.4.3 Practical Activity: Create the Best VisualizationОбсуждение

4.5 Questionnaire 4.2

4.5.1 Questionnaire 4.2Задание

4.6 Module Conclusion

4.6.1 Key TakeawaysЧтение
05Module 5. Closing the Loop: From Data to Planning18 материалов

5.1 Introduction

5.1.2 Welcome to Module 5Видео

5.2 From Data Analysis to Planning

5.2.1 Storytelling: IntroductionЧтение5.2.2 From Data to Planning: First Steps of the ProcessЧтение5.2.3 Best Practices for Data-Based ReportsВидео5.2.4 Bird Flu Case-Study: Part TwoЧтение5.2.5 From Data to Planning: Part TwoЧтение5.2.6 The Case of Brazil: Use of PISA Results for Education Decision MakingЧтение

5.3 Questionnaire 5.1

5.3.1 Questionnaire 5.1Задание

5.4 Policy Evaluation

5.4.1 Evaluate Policy ResultsВидео5.4.2 How Do You Estimate the Impact of a Policy with an Impact Assessment?Чтение5.4.3 How to Detect If There Are Problems in Our EvaluationВидео5.4.4 Evaluating Parenting InterventionsЧтение5.4.5 Storytelling: ConclusionsЧтение5.4.6 Practical Activity: Interpreting an Impact EvaluationЗадание

5.5 Creative Challenge: Third Part. Final report

5.5.1 Creative Challenge: Third Part. Final report. (Optional Activity)Взаимная проверка

5.6 Questionnaire 5.2

5.6.1 Questionnaire 5.2Задание

5.7 Module Conclusion

5.7.1 Key TakeawaysЧтение5.7.2 Request Your Digital Badge!Чтение
06Final Steps2 материалов

6.1 Final Steps

6.1.1 What Did You Think of the Course?PLUGIN6.1.2 Keep LearningЧтение
2.4.7 Practical Activity: Practicing with an Open Data PortalЗадание
2.4.8 Statement of PurposeЧтение
3.6.7 Practical Activity: Selecting a Method of Data AnalysisЗадание