M&E with the Application of Advanced Excel for data collection, analysis, visualization & Reporting.

Description

Day 1: Introduction to Monitoring and Evaluation in Donor-Funded Projects

Objective: Understand the foundational concepts and frameworks of Monitoring and Evaluation (M&E) for donor-funded projects.

Module 1: Overview of M&E in Donor-Funded Projects
Key components and objectives of M&E.
Logical Framework Approach (LogFrame).
Theory of Change (ToC) in project design.
Defining and aligning project goals, outcomes, outputs, and inputs.
Module 2: Developing an M&E Plan
Identifying and setting SMART indicators.
Establishing baselines, targets, and benchmarks.
Designing data collection tools and methods.
Importance of stakeholder engagement in M&E.
Excel Functions Covered:

Using Data Validation to create drop-down lists for indicators and stakeholders.
Applying Conditional Formatting to monitor targets and performance thresholds.
Using IF, AND, OR functions to evaluate progress against benchmarks.
Day 2: Data Collection and Management for Donor-Funded Projects

Objective: Equip participants with skills to design and manage effective data collection tools for donor-funded project M&E.

Module 3: Data Collection Strategies
Qualitative and quantitative data collection methods.
Designing questionnaires and surveys for donor-funded projects.
Ensuring data quality: accuracy, validity, reliability, and timeliness.
Module 4: Data Organization and Cleaning in Excel
Importing data from various sources (CSV, databases).
Cleaning and organizing raw data for analysis.
Handling missing or inconsistent data.
Excel Functions Covered:

TEXT, TRIM, CLEAN functions for data cleaning.
Find and Replace and Remove Duplicates for data standardization.
Using SORT and FILTER for quick data exploration.
Using Power Query for advanced data transformations.
Day 3: Data Analysis for Monitoring and Evaluation

Objective: Analyze project data to measure performance, identify trends, and assess outcomes.

Module 5: Key Data Analysis Techniques
Descriptive and inferential statistics in M&E.
Trend and variance analysis.
Assessing program impact using baseline and endline data.
Module 6: Advanced Excel for Data Analysis
Creating pivot tables for multi-dimensional data analysis.
Using lookup functions to match and merge datasets.
Calculating percentages, averages, and variance for performance metrics.
Excel Functions Covered:

VLOOKUP, HLOOKUP, XLOOKUP, INDEX, MATCH for data lookup and merging.
SUMIFS, COUNTIFS for conditional aggregations.
AVERAGEIF, MEDIAN, MODE for statistical analysis.
Pivot tables and pivot charts for dynamic data exploration.
Day 4: Data Visualization and Reporting in Donor-Funded Projects

Objective: Create impactful visuals and reports to communicate findings effectively to stakeholders.

Module 7: Designing Effective Dashboards
Principles of effective data visualization.
Creating interactive dashboards for project performance tracking.
Using slicers and timelines to filter and analyze data dynamically.
Module 8: Reporting Results to Donors and Stakeholders
Structuring M&E reports for clarity and impact.
Incorporating visuals, narratives, and recommendations.
Customizing reports to donor requirements.
Excel Functions Covered:

Chart Tools (bar, line, pie, and combo charts) for visualization.
Slicers and Timelines for interactive filtering.
TEXT and CONCATENATE functions for report formatting.
Using Power Pivot to integrate and model complex data.
Day 5: Automation and Advanced Techniques for M&E

Objective: Automate routine M&E tasks and enhance data analysis with advanced Excel capabilities.

Module 9: Automating M&E Processes
Automating data entry, updates, and report generation.
Introduction to macros and VBA for M&E.
Module 10: Advanced Excel Techniques for M&E
Creating dynamic ranges for evolving datasets.
Using scenario analysis for project forecasting.
Performing sensitivity analysis to assess risk and variability.
Excel Functions Covered:

OFFSET, INDIRECT for dynamic data ranges.
What-If Analysis Tools (Goal Seek, Data Tables, Scenario Manager) for project forecasting.
Introduction to Macro Recorder for automating tasks.
Basic VBA programming to create custom M&E solutions.

Видео M&E with the Application of Advanced Excel for data collection, analysis, visualization & Reporting. канала Chania Finance Consultancy