Education and Services Hub

Course Title:

Course ID:

030624 0701 1895ESH

Course Dates :

03/Jun/2024

 To

07/Jun/2024

Course Duration :

5

Course Location:

London

United Kingdom

Course Fees GBP £ :

Primary Price

£4,555.99

VAT may vary depending on the country where the course or workshop is held

Course Fees USD $:

Advisory Price

$5,829.09

VAT may vary depending on the country where the course or workshop is held

Course Category:

NGO Programmes

Exceptional Future Employees (NT)

Course Certified By:

* Professional Training and CPD Programs
* Executive Diploma Certificate
* Executive Masters Certificate

* ESHub CPD
* LondonUni
* Others

United Kingdom

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Information

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.

Daily 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

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Week 1

Day 1:
Understanding Economic Data Sources
• Introduction to economic data: Types, sources, and relevance for NGOs
• Primary data collection methods: Surveys, interviews, and focus groups.
• Secondary data sources: Government statistics, international databases, and academic research
• Ethical considerations in data collection and usage

Day 2:
Data Collection and Preprocessing Techniques
• Principles of data collection: Sampling techniques and questionnaire design
• Data cleaning and preprocessing: Handling missing data, outliers, and data transformation
• Introduction to data management tools: Excel, Open Refine, and data management software.

Day 3:
Statistical Analysis of Economic Data
• Descriptive statistics: Measures of central tendency, dispersion, and distribution
• Inferential statistics: Hypothesis testing, confidence intervals, and p-values
• Introduction to statistical software: SPSS, R, and Python for data analysis

Day 4:
Advanced Analytics Methods
• Predictive modelling: Regression analysis, time series forecasting, and machine learning algorithms
• Data visualization techniques: Charts, graphs, and dashboards for communicating economic insights.
• Hands-on exercises and case studies to apply advanced analytics methods.

Day 5:
Application and Integration
• Integrating economic data into NGO programs and projects
• Monitoring and evaluation frameworks: Using economic indicators to measure impact and effectiveness.
• Action planning: Developing strategies for applying course learnings within participants' organizations.
• Closing remarks and reflections on the course journey

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.