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Introduction to Data Analysis for Evaluators and Applied Researchers

Event Date: 2025-07-16 The Evaluators’ Institute (TEI) Deadline: 2025-07-21

In this course we will introduce and review basic data analysis tools and concepts commonly used in applied research and evaluation. The goal of the course is to help participants avoid errors and improve skills as data analysts, communicators of statistical findings, and consumers of data analyses.

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Using Evaluation Approaches, Theories, and Research on Evaluation (ROE) to Improve Your Evaluation Practice: With Help from Generative AI

Event Date: 2025-07-21 The Evaluators’ Institute (TEI) Deadline: 2025-07-16

This course is designed to help participants think critically about approaches and theories of evaluation practice, and to understand the evidence that has been generated through Research on Evaluation (ROE) to shape the approaches and theories of contemporary practice.

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Monitoring and Evaluation: Frameworks and Fundamentals

Event Date: 2025-07-21 The Evaluators’ Institute (TEI) Deadline: 2025-07-16

This interactive two-day course focuses on practical application and will cover: the purpose and scope of M&E; engaging stakeholders and establishing an evaluative climate; connecting program design and M&E frameworks; performance and results-based M&E approaches; data collection and methods; measuring program and success; and sustaining M&E culture.

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Introduction to Data Visualization

Event Date: 2025-07-23 The Evaluators’ Institute (TEI) Deadline: 2025-07-18

In this introductory course, participants will learn the fundamentals of creating effective data visualizations, including how to identify interesting stories in their data, how to choose appropriate chart forms to convey that story, and how to finesse the design of their charts to maximize the impact of the message being conveyed.

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Applied Measurement for Evaluation

Event Date: 2025-07-23 The Evaluators’ Institute (TEI) Deadline: 2025-07-18

Successful evaluation depends on our ability to generate evidence attesting to the feasibility, relevance/effectiveness of the interventions, services, or products we study. While theory guides our designs and how we organize our work, it is measurement that provides the evidence we use in making judgments about the quality of what we evaluate.