This 5-day training course is designed to equip M&E professionals with the essential skills to effectively analyze and interpret data. The course goes beyond simply crunching numbers, focusing on how to transform raw data into actionable insights that inform project decisions and strategic planning. Participants will learn to apply a range of quantitative and qualitative techniques to make sense of their M&E data, ensuring their findings are accurate, meaningful, and impactful.
The curriculum covers the entire data analysis pipeline, from preparing data for analysis to visualizing and communicating results. You'll gain practical experience in data cleaning, applying statistical techniques, and using qualitative methods to identify themes and patterns. The course emphasizes data interpretation, teaching you how to draw valid conclusions and communicate them clearly to different audiences. You'll also be introduced to commonly used software tools, enabling you to confidently manage and analyze your M&E data.
Who Should Attend the Training
· M&E officers and coordinators
· Project and program managers
· Data analysts
· Researchers and consultants
· Anyone involved in the management and use of M&E data
Objectives of the Training
· Personal benefits
o Master a range of quantitative and qualitative data analysis methods
o Enhance skills in data cleaning, processing, and management
o Improve ability to interpret complex data and draw valid conclusions
o Gain proficiency in data visualization and reporting
o Boost your career in M&E and data-driven roles
· Organizational benefits
o Improve the accuracy and reliability of M&E reports
o Strengthen the capacity for evidence-based decision-making
o Enhance the use of M&E data for organizational learning and adaptation
o Increase the credibility and impact of project findings
o Optimize the use of M&E data to tell a compelling story of change
Training Methodology
· Interactive presentations and group discussions
· Hands-on exercises with real and dummy datasets
· Case studies and practical problem-solving
· Demonstrations of statistical and visualization software
· Peer review and collaborative analysis sessions
Trainer Experience
Our trainers are seasoned M&E and data experts with extensive experience in data analysis and interpretation across various sectors. They bring a wealth of practical knowledge, providing real-world examples and hands-on guidance to ensure you can apply your new skills immediately to your work.
Quality Statement
We are committed to delivering high-quality training that is both engaging and technically rigorous. Our course content is regularly updated to incorporate the latest analytical techniques and software, ensuring you receive the most current and relevant knowledge in the field.
Tailor-made courses
We can customize this course to suit your organization’s specific needs, focusing on particular types of data, analysis methods, or software tools that are most relevant to your work. Contact us to design a bespoke training program for your team.
Course Duration: 5 days
Training fee: USD 1300
Module 1: Foundations of Data Analysis for M&E
· The role of data analysis in the M&E cycle
· Understanding different types of M&E data (quantitative vs. qualitative)
· The data analysis plan: why it's essential
· Moving from data to evidence and insights
· Practical session: A group exercise to identify key data analysis questions for a project
Module 2: The Data Analysis Planning Process
· Developing a comprehensive data analysis plan
· Formulating research questions and hypotheses
· Determining the appropriate analysis methods for your data
· Planning for data cleaning, aggregation, and synthesis
· Practical session: Drafting a data analysis plan for a provided M&E dataset
Module 3: Quantitative Data Analysis Techniques
· Descriptive statistics: measures of central tendency and dispersion
· Inferential statistics: understanding correlations and comparisons
· Introduction to basic statistical tests (t-test, chi-square test)
· Analyzing indicator performance over time
· Practical session: Using a spreadsheet program to calculate descriptive statistics on a dataset
Module 4: Qualitative Data Analysis Techniques
· Introduction to qualitative analysis: coding, theme identification, and content analysis
· Approaches to analyzing interview transcripts and focus group notes
· Using qualitative data to complement and explain quantitative findings
· Structuring and organizing qualitative data
· Practical session: A hands-on exercise to code interview transcripts and identify emerging themes
Module 5: Data Cleaning, Processing, and Management
· The importance of data cleaning and its impact on analysis
· Techniques for identifying and handling missing values and outliers
· Data aggregation and disaggregation for different levels of analysis
· Ensuring data integrity and security
· Practical session: Cleaning a raw dataset to prepare it for analysis
Module 6: Data Interpretation and Sense-Making
· Moving from data points to meaningful conclusions
· Interpreting statistical results in the context of the project
· Synthesizing findings from multiple data sources
· Formulating actionable recommendations based on the data
· Practical session: Interpreting a statistical output and writing a short paragraph explaining the results
Module 7: Data Visualization and Storytelling
· Principles of effective data visualization
· Choosing the right chart or graph for your data
· Using visualizations to highlight key findings and trends
· Telling a compelling story with data
· Practical session: Creating various charts and graphs from a dataset to tell a story
Module 8: Statistical Software for Data Analysis
· Introduction to popular software tools (e.g., Excel, R, SPSS, or Python libraries)
· Demonstration of key functions for data analysis in a chosen tool
· Setting up your data for analysis within the software
· Running basic analyses and generating output
· Practical session: Using a software tool to run an analysis and interpret the output
Module 9: Ethical Considerations and Best Practices
· Ensuring data privacy and confidentiality
· Avoiding bias in data analysis and interpretation
· Transparently reporting limitations and assumptions
· Best practices for documenting your analysis process
· Practical session: A group discussion on how to ethically handle and report a sensitive data finding
Module 10: Integrated Data Analysis and Interpretation Workshop
· Reviewing the entire data analysis process from start to finish
· Participants work in groups to analyze a complete M&E dataset
· Developing a concise report with key findings and recommendations
· Presenting the results and receiving peer feedback
· Practical session: Finalizing and presenting a full data analysis report for a project
Requirements:
· Participants should be reasonably proficient in English.
· Applicants must live up to Armstrong Global Institute admission criteria.
Terms and Conditions
1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.
Booking for Training
Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.
Or call us on +254720272325 / +254725012095 / +254724452588
Payment Options
We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:
1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)
Cancellation Policy
1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.
Tailor Made Courses
This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com
Accommodation and Airport Transfer
Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588
| Course Dates | Venue | Fees | Enroll |
|---|
Armstrong Global Institute
Typically replies in minutes