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Project Monitoring and Evaluation with Data Management and 
Analysis Course July 11 2022 to July22 2022 Mombasa 
Kenya. Venue:  Mombasa, 
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 About the course
This 
is a comprehensive 10 days 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. 
Target 
Participants
This 
course is designed for researchers, project staff, development practitioners, 
managers and decision makers who are responsible for project, program or 
organization-level M&E. The course aims to enhance the skills of 
professionals who need to research, supervise, manage, plan, implement, monitor 
and evaluate development projects.
Course 
duration
10 
days
Course 
objectives
Develop project 
  results levels
Design a project 
  using logical framework
Develop 
  indicators and targets for each result level
Track 
  performance indicators over the life of the project
Evaluation a 
  project against the set results
Develop and 
  implement M&E systems
Develop a 
  comprehensive monitoring and evaluation plan
Use data 
  analysis software (Stata/SPSS/R)
Collect data 
  using mobile data collection tools
Carryout impact 
  evaluation
Use GIS to 
  analyze and share project data
Course 
Outline
Introduction 
to Results Based Project Management
Fundamentals of 
  Results Based Management
Why is RBM 
  important?
Results based 
  management vs traditional projects management
RBM Lifecycle 
  (seven phases)
Areas of focus 
  of RBM
Fundamentals 
of Monitoring and Evaluation
Definition of 
  Monitoring and Evaluation
Why Monitoring 
  and Evaluation is important
Key principles 
  and concepts in M&E
M&E in 
  project lifecycle
Participatory 
  M&E
Project 
Analysis
Situation 
  Analysis
Needs 
  Assessment
Strategy 
  Analysis
Design 
of Results in Monitoring and Evaluation
Results chain 
  approaches: Impact, outcomes, outputs and activities
Results 
  framework
M&E causal 
  pathway
Principles of 
  planning, monitoring and evaluating for results
M&E 
Indicators
Indicators 
  definition
Indicator 
  metrics
Linking 
  indicators to results
Indicator 
  matrix
Tracking of 
  indicators
Logical 
Framework Approach
LFA – Analysis 
  and Planning phase
Design of 
  logframe
Risk rating in 
  logframe
Horizontal and 
  vertical logic in logframe
Using logframe 
  to create schedules: Activity and Budget schedules
Using logframe 
  as a project management tool
Theory 
of Change
Overview of 
  theory of change
Developing 
  theory of change
Theory of Change 
  vs Log Frame
Case study: 
  Theory of change
M&E 
Systems
What is an 
  M&E System?
Elements of 
  M&E System
Steps for 
  developing Results based M&E System
M&E 
Planning
Importance of an 
  M&E Plan
Documenting 
  M&E System in the M&E Plan
Components of an 
  M&E Plan-Monitoring, Evaluation, Data management, 
  Reporting
Using M&E 
  Plan to implement M&E in a Project
M&E plan vs 
  Performance Management Plan (PMP)
Base 
Survey in Results based M&E
Importance of 
  baseline studies
Process of 
  conducting baseline studies
Baseline study 
  vs evaluation
Project 
Performance Evaluation
Process and 
  progress evaluations
Evaluation 
  research design
Evaluation 
  questions
Evaluation 
  report Dissemination
M&E 
Data Management
Different 
  sources of M&E data
Qualitative data 
  collection methods
Quantitative 
  data collection methods
Participatory 
  methods of data collection
Data Quality 
  Assessment
M&E 
Results Use and Dissemination
Stakeholder’s 
  information needs
Use of M&E 
  results to improve and strengthen projects
Use of M&E 
  Lessons learnt and Best Practices
Organization 
  knowledge champions
M&E 
  reporting format
M&E results 
  communication strategies
Gender 
Perspective in M&E
Importance of 
  gender in M&E
Integrating 
  gender into program logic
Setting gender 
  sensitive indicators
Collecting 
  gender disaggregated data
Analyzing 
  M&E data from a gender perspective
Appraisal of 
  projects from a gender perspective
Data 
Collection Tools and Techniques
Sources of 
  M&E data –primary and secondary
Sampling during 
  data collection
Qualitative data 
  collection methods
Quantitative 
  data collection methods
Participatory 
  data collection methods
Introduction to 
  data triangulation
Data 
Quality
What is data 
  quality?
Why data 
  quality?
Data quality 
  standards
Data flow and 
  data quality
Data Quality 
  Assessments
M&E system 
  design for data quality
ICT 
in Monitoring and Evaluation
Mobile based 
  data collection using ODK
Data 
  visualization - info graphics and dashboards
Use of ICT tools 
  for Real-time monitoring and evaluation
Qualitative 
Data Analysis
Principles of 
  qualitative data analysis
Data preparation 
  for qualitative analysis
Linking and 
  integrating multiple data sets in different forms
Thematic 
  analysis for qualitative data
Content analysis 
  for qualitative data
Manipulation and 
  analysis of data using NVivo
Quantitative 
Data Analysis – (Using SPSS/Stata)
Introduction to 
  statistical concepts
Creating 
  variables and data entry
Data 
  reconstruction
Variables 
  manipulation
Descriptive 
  statistics
Understanding 
  data weighting
Inferential 
  statistics: hypothesis testing, T-test, ANOVA, regression 
  analysis
Impact 
Assessment
Introduction to 
  impact evaluation
Attribution in 
  impact evaluation
Estimation of 
  counterfactual
Impact 
  evaluation methods: Double difference, Propensity score 
  matching
GIS 
in M&E
Introduction to 
  GIS in M&E
GIS analysis and 
  mapping techniques
Data preparation 
  for geospatial analysis
Geospatial 
  analysis using GIS software (QGIS)
General 
Notes
·         
All our courses can be 
Tailor-made to participants needs
The participant 
  must be conversant with English
 Presentations 
  are well guided, practical exercises, web-based tutorials, and group work. Our 
  facilitators are experts with more than 10years of 
  experience
 Upon 
  completion of training, the participant will be issued with a Global King 
  Project Management certificate
Training will be 
  done at the Global King Project Management Centers (Nairobi Kenya, Mombasa 
  Kenya, Kigali Rwanda, Dubai ,Lagos  Nigeria and More 
  others).
A discount of 
  20% will be given to more than 4 participants from same 
  organization.
Course duration 
  is flexible and the contents can be modified to fit any number of 
  days.      
Payment should 
  be done two weeks before commencement of the training, to the Global King 
  Project Management account, so as to enable us to prepare better for 
  you.
For any inquiry 
  to:  training@globalkingprojectmanagement.org or +254 
  114 830 889
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Yours 
Sincerely,     
 
Virginia 
Wamaitha 
Project 
Management Expert and PMP certified

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