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Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 345.86 MB | Duration: 1h 7m
Course is Introduction to Monitoring and Evaluation, How to develop Performance Monitoring Plan (PMP)Develop Project Log
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 345.86 MB | Duration: 1h 7m
Course is Introduction to Monitoring and Evaluation, How to develop Performance Monitoring Plan (PMP)Develop Project Log
What you'll learn
Introduction to Monitoring and Evaluation
How to develop Performance Monitoring Plan (PMP)
Develop Project Logical Framework and Performance Indicator reference sheet (PIRS)
Provide free practical tools and resources on M&E for using in development project
Provides free guideline to use tools
Understand key elements for data collection methods
Introduction about Data Analysis and Data Visualization
Requirements
No program experience needed. You will learn everything you want to know.
Description
In this course you will go through 6 modules that are very important basic key elements in Monitoring and Evaluation in development project.Module 1: You will learn "Introduction to Monitoring and Evaluation(M&E)". This means you will understand what is monitoring?; what is evaluation? What is the difference between them? You will understand the importance of M&E and when do we need to conduct monitoring and evaluation through the project cycle?Module 2: You will understand "Performance Monitoring Plan (PMP)" and Why PMP is important?How to develop PMP? You will know all the key elements of PMP. In this module, you will understand the logic model of projects and the example and exercise for you to take it easy to understand for all practitioners. That is important to under what outputs, outcomes, and impact of the project.Module 3: You will understand what does the data collection make a sense to you? The process of data collection and softwares and tools used for data collection.Module 4: You are going to learn what types are there used for data analysis? You will understand the Descriptive Analysis in detailed steps. However, I will develop the data analysis course separately for technical persons or professional person at this field.Module 5: " data visualization", this module, you will understand about how to visualize your data to the audience and donors; understand the tools that you can use for data visualization such as table, chart or infographics and that kind of things. You will know the type of charts that we can use in difference purposes.Module 6: "Evaluation", this module, you will learn more about the evaluation and the key elements of the evaluations as well as when we conduct evaluation in the stages of project cycle.Who need to learn the course?Course is created for All university students who want to strengthen more capacity on project management, something related to M&E and find a job as M&E specialist with high salary, NGO Staff who want to increase more skills in Monitoring and Evaluation in development project, Private Sector Staffs who increase more skill to strengthen the effectiveness of implementation plan, Business owner who are willing to effectively manage the business and the management change as well as good decision making based on dataEveryone who want to understand about monitoring and evaluation
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Module 1: Introduction to Monitoring and Evaluation
Lecture 2 Introduction to Monitoring and Evaluation
Lecture 3 Monitoring and Evaluation in Project Cycles
Section 3: Module 2: Performance Monitoring Plan
Lecture 4 Module 2_Performance Monitoring Plan
Lecture 5 Key Element of PMP
Lecture 6 Logic Model and Examples
Lecture 7 Logical Framework and Exercise
Lecture 8 Logical Framework Template Example in one USAID Project
Lecture 9 Performance Indicator Reference Sheet (PIRS) and Template
Lecture 10 Work Plan Example and Resource for download
Section 4: Modul 3: Data Collection
Lecture 11 Data Collection introduction
Lecture 12 Probability Sampling
Lecture 13 Introduction of Non-Probability Sampling
Lecture 14 Data Collection Technology and Software Recommendation
Section 5: Module 4: Introduction to Data Analysis
Lecture 15 Introduction to Data Analysis
Section 6: Module 5: Introduction to Data Visualization
Lecture 16 Introduction to Data Visualization
Section 7: Module 6: Evaluation
Lecture 17 Introduction to Evaluation
Lecture 18 Introduction to Evaluation (con.)
Section 8: Final Test
The course is for all learners who are willing to gain the skill in Monitoring and Evaluation.
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