Introduction

In the era of data-driven decision-making, Google Data Studio (GDS) has emerged as a game-changer for Monitoring & Evaluation (M&E) professionals. Google Data Studio for M&E Reporting Training Course equips participants with the skills to visualize, analyze, and communicate complex program data efficiently. Leveraging interactive dashboards, real-time reporting, and advanced data connectors, learners will transform raw M&E data into actionable insights that inform policy, optimize program performance, and demonstrate impact.

This course emphasizes practical, hands-on learning with a focus on data storytelling, KPI tracking, and automated reporting. Participants will gain expertise in building dynamic dashboards, integrating multiple data sources, applying filters and calculated fields, and presenting data to stakeholders. By the end of the course, learners will be proficient in creating engaging, accurate, and evidence-driven M&E reports that enhance transparency, accountability, and strategic program management.

Programme Curriculum

Google Data Studio for M&E Reporting Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of this training, participants will be able to:

Master Google Data Studio dashboard creation for M&E reporting.
Integrate multiple data sources including spreadsheets, databases, and cloud services.
Apply real-time data visualization techniques for actionable insights.
Build interactive reports with filters, date ranges, and dynamic charts.
Design customized KPIs and metrics for program monitoring.
Use calculated fields and formulas to enhance data analysis.
Leverage data storytelling principles to communicate findings effectively.
Automate report updates and data refresh schedules.
Implement best practices for data accuracy and validation.
Develop stakeholder-focused dashboards for transparency and accountability.
Apply trend analysis and performance tracking in program evaluation.
Troubleshoot common issues in data blending and visualization errors.
Conduct case study analyses to demonstrate practical application in real-world M&E contexts.

Target Audience

M&E Officers and Coordinators
Data Analysts and Program Evaluators
Project Managers and Impact Assessment Professionals
Government and NGO Monitoring Staff
Policy Advisors and Decision-Makers
Data Visualization Specialists
Program Officers in International Development
Researchers and Academic Professionals in Social Sciences

Course Modules

Module 1: Introduction to Google Data Studio

Overview of GDS for M&E reporting
Benefits of interactive dashboards
Understanding data connectors
GDS interface and navigation
Case study: Dashboard for health program monitoring

Module 2: Data Sources and Integration

Connecting spreadsheets and databases
Importing cloud-based datasets
Data blending techniques
Managing multiple data sources
Case study: Combining donor and project data

Module 3: Data Cleaning and Transformation

Identifying and correcting errors
Using calculated fields
Standardizing metrics
Handling missing or duplicate data
Case study: Cleaning survey data for nutrition programs

Module 4: Visualization Fundamentals

Chart types and their applications
Choosing the right visual for KPIs
Interactive filters and controls
Formatting dashboards for clarity
Case study: Visualizing education program results

Module 5: Dashboard Design Principles

Layout and user experience
Color coding and visual hierarchy
Storytelling through design
Accessibility considerations
Case study: Donor report dashboard

Module 6: Metrics, KPIs, and Calculated Fields

Defining program indicators
Calculating ratios and percentages
Conditional formatting for KPIs
Monitoring trends over time
Case study: KPI tracking for water and sanitation projects

Module 7: Interactive Reporting Techniques

Date range filters
Drill-down capabilities
Dynamic control widgets
Linking pages for storytelling
Case study: Multi-level M&E dashboards

Module 8: Automating Reports and Scheduling

Setting up data refresh schedules
Sharing dashboards with stakeholders
Embedding dashboards on web portals
Exporting and distributing reports
Case study: Automated monthly reporting for NGO programs

Module 9: Advanced Data Visualization

Combo charts and scorecards
Geo-mapping and location analysis
Trend lines and forecasting
Advanced filtering techniques
Case study: Mapping disease prevalence across counties

Module 10: Data Accuracy and Validation

Validating imported data
Error checking formulas
Version control and backup
Data governance best practices
Case study: Correcting reporting errors in donor-funded projects

Module 11: Stakeholder-Focused Dashboards

Tailoring dashboards for audiences
Visual cues for decision-making
Highlighting impact stories
Feedback-driven dashboard improvements
Case study: Executive-level M&E report

Module 12: Storytelling with Data

Narrative building in dashboards
Visualizing program success
Comparing targets vs. achievements
Engaging graphs and charts
Case study: Data storytelling for community development projects

Module 13: Trend Analysis and Performance Tracking

Monitoring program trends over time
Detecting anomalies and patterns
Forecasting outcomes
Benchmarking program performance
Case study: Longitudinal health project evaluation

Module 14: Troubleshooting and Best Practices

Common GDS errors and fixes
Optimizing performance for large datasets
Security and sharing best practices
Continuous improvement of dashboards
Case study: Optimizing a national M&E reporting system

Module 15: Capstone Project and Practical Application

End-to-end dashboard creation
Real-world M&E data integration
Presenting dashboards to stakeholders
Peer review and feedback
Case study: Comprehensive NGO program reporting

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Dashboard creation Data visualization Report automation Insights communication

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000