Обучение по прикладным исследованиям, анализу данных и принятию решений на основе фактических данных

Обзор программы

Applied Research, Data Analysis & Evidence-Based Decision Making Training focuses on strengthening the analytical and decision-making capabilities required in modern organizations. As governments, institutions, and businesses increasingly rely on data-driven insights, the ability to design robust research frameworks, analyze data effectively, and translate findings into actionable strategies has become essential.

This programme equips professionals with practical tools and internationally aligned methodologies to design research studies, collect and analyze data, and generate insights that directly support policy development, business strategy, and programme implementation. The training emphasizes real-world application, ensuring that participants move beyond theory to practical use of data in decision-making processes.

Participants will explore both qualitative and quantitative research methods, statistical analysis techniques, and data interpretation approaches that enhance organizational performance. The programme also focuses on transforming data into meaningful insights that inform strategic planning, monitoring and evaluation systems, and institutional performance frameworks. Our practical delivery approach is reflected in real-world implementations such as our Research Methodology Training in Hanoi, where participants applied analytical frameworks to institutional challenges.

Research and data analysis are closely integrated with monitoring, evaluation, and performance management systems. Through practical case studies, applied exercises, and real-world data analysis scenarios, participants will develop the ability to conduct research that informs decisions, improves outcomes, and strengthens institutional impact.

Watch how applied research and data analysis translate into real-world decision-making and institutional impact.

Обучение методологии исследований

Target Audience for Applied Research & Data Analysis Training

Программа предназначена для специалистов, занимающихся исследованиями, анализом и принятием решений, в том числе:

• Специалисты по мониторингу и оценке (МиО)
• Политические аналитики и исследователи
• Государственные служащие и сотрудники госсектора
• Аналитики данных и статистики
• Сотрудники проектов развития и проектов, финансируемых донорами
• Консультанты и советники
• Programme managers and decision-makers
• Professionals involved in evidence-based planning and reporting

Programme Objectives of Applied Research & Data Analysis Training

После успешного завершения обучения участники смогут:

• Design effective research frameworks aligned with organizational objectives
• Применять качественные и количественные методы исследования
• Collect, manage, and analyze data using appropriate tools
• Интерпретировать данные, чтобы получать практически применимые выводы
• Укреплять процессы принятия решений на основе фактических данных
• Integrate research findings into policy and strategy development
• Поддерживать системы мониторинга, оценки и управления результативностью
• Improve reporting, communication, and data visualization
• Развивать организационное обучение и управление знаниями
• Develop practical research and data analysis plans

Programme Structure & Content – Applied Research & Data Analysis Framework

Training Methodology – Applied Research & Data Analysis Approach

This Applied Research, Data Analysis & Evidence-Based Decision Making Training uses an applied learning methodology combining:

• Технические занятия под руководством экспертов
• Real-world case studies and research applications
• Scenario-based data analysis exercises
• Group discussions and collaborative learning
• Практические инструменты, шаблоны и рамочные модели
• Interactive development of research and analysis plans

Participants leave with practical research frameworks, analytical tools, and decision-making models that can be directly applied within their organizations.

This programme is aligned with internationally recognized research and analytical practices, drawing on publicly available frameworks and data sources from institutions such as the Department of Statistics Malaysia (DOSM).

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