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Introduction

In the rapidly evolving landscape of non-governmental organizations (NGOs), understanding and effectively managing economic data is paramount.
The Economic Data Management and Analytics Course equips participants with the essential knowledge and skills to collect, analyse, and leverage economic data for informed decision-making and impactful interventions.
Over five intensive days, participants will delve into various aspects of economic data management and analytics, gaining practical insights and hands-on experience to enhance their organization's effectiveness and sustainability.

Objectives

1. Provide a comprehensive understanding of economic data sources, including primary and secondary data sources, and their relevance to NGOs.
2. Equip participants with the skills to collect, clean, and preprocess economic data efficiently.
3. Introduce participants to statistical techniques and tools for analysing economic data, including descriptive and inferential statistics.
4. Explore advanced analytics methods such as predictive modelling and data visualization to derive actionable insights from economic data.
5. Foster a collaborative learning environment where participants can exchange ideas and best practices for utilizing economic data in NGO contexts.

Who Should Attend?

This course is designed for professionals working in NGOs who are involved in data management, research, program planning, and decision-making processes.
It is suitable for individuals at all levels, from entry-level staff to senior management, who seek to enhance their understanding and proficiency in economic data management and analytics.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Course Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm