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What You'll Learn

Master project monitoring and evaluation with data management and analysis. Learn to design effective monitoring and evaluation systems, collect and analyze data, and use evidence to improve project performance.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Project Monitoring and Evaluation with Data Management and Analysis - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This is a comprehensive M&E course that covers the principles and practices for results-based monitoring and evaluation for the entire project life cycle. This course equips participants with skills in setting up and implementing results-based monitoring and evaluation systems including M&E data management, analysis and reporting. The participants will benefit from the latest M&E thinking and practices including the results and participatory approaches.

This course is designed to enable the participants become experts in monitoring and evaluating their development projects. The course covers all the key elements of a robust M&E system coupled with a practical project to illustrate the M&E concepts.

Course Duration

10 Days

Who Should Attend

  • Project managers and coordinators
  • Monitoring and evaluation officers
  • Data analysts and managers
  • Program officers and staff involved in project implementation
  • Development practitioners
  • Non-governmental organization (NGO) staff
  • Government officials involved in project management
  • Consultants working in project planning and evaluation

Course Impact

Organizational Impact

  • Improve project effectiveness and accountability through evidence-based decision-making.

  • Enhance credibility with donors, partners, and stakeholders.

  • Uncover opportunities, mitigate risks, and achieve better project outcomes.

  • Increase operational efficiency through standardized M&E and data management.

Personal Impact

  • Gain in-demand skills for project management and development careers.

  • Progress into senior leadership, program evaluation, or data stewardship roles.

  • Contribute directly to improved project performance and impact.

  • Lead and champion data-driven initiatives with confidence.

Course Objectives

By the end of this course, participants will:

  • Understand the key concepts and principles of project monitoring and evaluation.
  • Develop effective M&E plans and frameworks.
  • Use various data collection methods and tools for M&E.
  • Analyze and interpret M&E data to inform project decisions.
  • Apply data management best practices to ensure data quality and integrity.
  • Utilize statistical software for data analysis and visualization.
  • Conduct impact assessments and evaluations.
  • Communicate M&E findings effectively to stakeholders.
  • Develop skills in using advanced data analysis techniques.
  • Integrate M&E and data management practices into project cycles.

Course Outline

Introduction to Project Management

  • Introduction to project management
  • Project cycle management
  • Triple constraints in project management
  • M&E in project management

Introduction to M&E

  • Definition of monitoring and evaluation
  • Why monitoring and evaluation is important
  • Key principles and concepts in M&E
  • Monitoring and evaluation processes

Results-Based Management

  • Introduction to results-based management approach
  • Steps in results-based management
  • Application of results-based management in project design
  • Understanding the results chain approach

Project Analysis

  • Problem analysis
  • Objectives analysis
  • Strategy analysis

Project Logic Design

  • Introduction to problem analysis
  • Understanding M&E causal pathway
  • Developing the project results levels: goal, outcomes and output
  • Formulating activities

Project Indicators

  • Introduction to project indicator
  • Indicator development
  • Predefined indictors
  • Linking indicators to results in programs
  • Indicator matrix
  • Program indicator performance tracking

Completing the M&E Tools

  • Completing the logical framework
  • Developing a theory of change
  • Completing the performance measurement framework

Project Monitoring

  • Introduction to programs monitoring
  • Types of monitoring
  • Monitoring strategies
  • Tools for monitoring and performance measurement

M&E Reporting

  • Introduction to reporting
  • Key elements in progress reporting
  • Reporting schedules

M&E Plan

  • Introduction to M&E system and M&E Plan
  • Components of the M&E Plan
  • Developing the M&E Plan
  • Implementing the M&E plan

Baseline Studies in Results based M&E

  • Importance of baseline studies
  • Process of conducting baseline studies
  • Baseline study vs evaluation

Project Evaluations

  • Introduction to project evaluation
  • Types of evaluations
  • Process of conducting evaluation
  • Project evaluation criteria
  • Developing evaluation questions
  • Developing evaluation matrix
  • Evaluation reporting

Overview of Impact Evaluation

  • Introduction to impact evaluation
  • Project attribution for outcome of interest
  • Impact evaluation designs

Learning in M&E

  • Introduction to learning
  • Documentation of lessons learned and best practices
  • Use of learning to improve and strengthen projects
  • M&E Results dissemination

Gender Mainstreaming in M&E

  • Key gender concepts and definitions
  • Overview of gender mainstreaming in project management
  • Engendering the logical framework
  • Development of gender responsive data collection methods and tools

M&E Data Collection Methods and Tools

  • Sources of M&E data –primary and secondary
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory data collection methods
  • Introduction to data triangulation

Mobile Data Collection

  • Introduction to mobile data collection
  • Setting up MDC
  • Setting up the server
  • Design of data collection forms

Introduction to Data Analysis

  • Introduction statistics and data analysis
  • Understanding descriptive vs inferential statistics
  • Understanding variables
  • Introduction to data types

Statistical Data Management

  • Data cleaning and management

Exploring Data

  • Descriptive analysis
  • Frequencies
  • Basic univariate analysis
  • Cross tabulations
  • Basic univariate analysis
  • Cross tabulations

Comparison Tests

  • Understanding parametric vs non-parametric tests
  • Choosing a test – decision tree
  • Parametric data- T test, ANOVA
  • Non-parametric data
  • Proportions

Tests of Association

  • Introduction to correlation analysis
  • Parametric data – Pearson correlation
  • Nonparametric data – Spearman rank correlation

Regression Analysis

  • Introduction to regression analysis
  • Regression diagnostics – measurement error, multicollinearity, heteroskedasticity, endogeneity, non-normality
  • Parametric data – linear regression analysis (simple and multiple regression)
  • Non-parametric data – non parametric regression
  • Categorical dependent variables – logit and probit regression models

 Data Visualization

  • Pivot tables
  • Graphs and charts
  • Dashboards

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

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We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to design and implement a robust M&E system, manage project data, and analyze results to measure and improve performance.
Monitoring is the ongoing tracking of project activities and progress, while evaluation is a periodic, in-depth assessment of the project's relevance, efficiency, and impact.
You'll learn to develop a results framework, select appropriate indicators, and create a data collection plan to effectively track project progress and outcomes.
The training covers how to design data collection tools, manage project databases, and use analysis techniques to turn raw data into actionable insights for decision-making.
You'll learn how to use monitoring data to identify bottlenecks and make real-time adjustments, and use evaluation findings to adapt and refine your project strategy.
Training on Project Monitoring and Evaluation with Data Management and Analysis

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