Course Certified By:

Introduction

Welcome to the "Data Management, Analysis, and Visualization with Python" course designed specifically for NGOs.
In today's digital age, NGOs are increasingly reliant on data to drive decision-making, assess impact, and communicate effectively with stakeholders.
This comprehensive five-day course aims to equip participants with the necessary skills to efficiently manage, analyse, and visualize data using Python programming language, a powerful tool for data manipulation and visualization.
This course will blend theoretical knowledge with hands-on practical exercises to ensure participants gain a comprehensive understanding of data management, analysis, and visualization using Python.
By the end of the course, participants will be equipped with valuable skills to leverage data effectively in their respective NGO roles.

Objectives

• Provide participants with a foundational understanding of data management principles.
• Introduce participants to Python programming language and its applications in data analysis and visualization.
• Equip participants with practical skills to clean, process, analyse, and visualize data effectively.
• Empower participants to utilize data-driven insights to enhance the effectiveness of their NGO's initiatives and programs.

Who Should Attend?

This course is tailored for professionals working within NGOs who are involved in data management, analysis, and reporting, including:
• Data Analysts
• Program Managers
• Monitoring and Evaluation Officers
• Research Officers
• Data Officers
• Project Coordinators

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