Call for registration for a professional training on Geospatial Data Analysis Training Tender at Data+ Consultant Ltd

Organized by DATA+ Rwanda
Location: UR-CST Nyarugenge Campus, Rwanda
Training Dates: December 6th – 22nd, 2025 (3 Weekends)
Training Mode: In-person & Virtual, Full-day, Hands-on Training

1. Introduction

Geospatial data analytics has become a cornerstone for decision-making and problem-solving across various sectors, including agriculture, healthcare, education, business, finance, and environmental or project monitoring & evaluation. The ability to interpret and utilize spatial data is indispensable for professionals in these fields, particularly when leveraging cutting-edge tools and techniques such as satellite imagery analysis, spatial forecasting, and geospatial data management.

2. About DATA+ Rwanda

DATA+ Rwanda is a private organization dedicated to providing research consultancy services, professional capacity building, and investment in breakthrough technology solutions in Rwanda. Through tailored training programs and consultancy services, DATA+ Rwanda empowers professionals, organizations, and institutions with the skills and knowledge needed to drive impactful decision-making and sustainable development.

In collaboration with experienced trainers, DATA+ Rwanda is offering an intensive, hands-on Geospatial Data Analytics Training. This training will equip professionals from diverse sectors with the skills needed to analyze geospatial data for actionable insights. Whether you're a project manager, data scientist, agriculturalist, M&E officer, or economist, this training will provide practical tools that can be immediately applied to your work.

3. Training Objectives

This training program aims to provide professionals with the following skills and knowledge:

• Understanding Geospatial Data Types & Formats
  Gain practical knowledge of various data types such as vector (points, lines, polygons) and raster (gridded data), including the formats they are typically stored in (e.g., Shapefiles, GeoJSON, GeoTIFF). Learn how to import, manipulate, and export geospatial data using industry-standard software tools.
• Coordinate Systems & Projections
  Learn how to work with geographic and projected coordinate systems, including transforming between different projections and datums. This is essential for accurate spatial analysis across different geographies.
• Geospatial Data Analysis Techniques
  Perform common geospatial analysis tasks such as:

• Buffering: Creating zones of influence around features.
• Overlay Analysis: Combining multiple data layers to understand spatial relationships.
• Proximity Analysis: Identifying spatial relationships between features (e.g., nearest neighbor analysis).
• Spatial Interpolation: Estimating values in unsampled areas using techniques like Kriging and Inverse Distance Weighting.

• Satellite Image Analysis: Learn how to work with satellite images for land-use classification, vegetation analysis (e.g., NDVI), and change detection.
• Advanced GIS Analysis: Focus on two high-impact geospatial analysis techniques:  Selection Analysis: Determine the most suitable locations for businesses, infrastructure, or services based on key factors like accessibility, demographics, and market potential.
• Data Visualization and Reporting
  Learn how to create interactive maps, heatmaps, and 3D visualizations to effectively communicate geospatial data findings. This section will emphasize presenting data in a way that is easily understandable and actionable for decision-makers.
• Geospatial Software & Tools: Hands-on training with industry-leading tools like ArcMap, Google Earth Engine, and Python libraries (e.g., Geopandas, ArcPy, OSMnx). You’ll learn how to process, analyze, and visualize geospatial data efficiently using these powerful platforms.

4. Training Methodology

The training will focus on hands-on practice, allowing participants to apply the concepts learned immediately. Real-world case studies from various sectors (healthcare, agriculture, business, etc.) will be incorporated, and participants will work on projects that they can use in their professional roles. Trainers, who are experienced practitioners in the field of geospatial data analytics, will guide participants through practical exercises and real-time projects.

5. Training Schedule

This comprehensive 6-day training will be delivered over three weekends (Saturday and Sunday), each day focusing on different aspects of geospatial data analysis.

Weekend 1:

• Day 1: Introduction to Geospatial Data Types, Formats, and Coordinate Systems
• Day 2: Vector Data Analysis, Coordinate Transformation, and Projections

Weekend 2:

• Day 5: Site selection analysis
• Day 6: Data Visualization, Reporting, and Software Tools (GEE, ArcMap, Python)

Weekend 3:

• Day 3: Raster Data Analysis and Satellite Image Processing
• Day 4: Geospatial Analysis Techniques (Buffering, Overlay Analysis, Spatial Joins)

6. The training is good for 

This training is designed for professionals from various sectors, including:

• Project managers involved in managing development or environmental projects.
• Monitoring and Evaluation (M&E) officers seeking to enhance their spatial data analysis capacity for program evaluations.
• Data managers and analysts who want to develop expertise in handling and analyzing spatial data.
• Environmental scientists and conservationists working to monitor ecosystems, manage natural resources, and track environmental changes such as deforestation and water resources.
• Education professionals interested in integrating spatial data into research and teaching.
• Healthcare workers needing to map disease trends, access healthcare facilities, or improve health service delivery.
• Business and finance professionals seeking to use location-based data to optimize decisions and strategies.
• Agriculturalists interested in monitoring crop health, land use, and farming practices using geospatial data.
• Economists looking to analyze spatial economic patterns, trends, and forecasts.
• Public safety and security officials looking to enhance crime mapping, improve emergency response planning, and optimize resource deployment.
• Telecommunications and utility professionals seeking to expand networks strategically, manage infrastructure assets, and improve service delivery.
• Urban planners and civil engineers involved in designing infrastructure, optimizing transportation networks, and developing smart city initiatives.

7. Why Attend?

• Explore Innovative GIS Tools: Get introduced to the latest, cutting-edge GIS tools used by high-tech industries — empowering stakeholders to optimize processes and grow their businesses.
• Hands-on Training: Learn through real-world exercises and apply the skills immediately in your professional work.
• Experienced Trainers: Learn from top industry professionals with practical experience in geospatial data analysis.
• Networking Opportunities: Connect with other professionals from across Africa, fostering collaboration and knowledge exchange.
• Practical Skills for Immediate Use: Walk away with the ability to handle geospatial data confidently and apply advanced analysis techniques.

8. Certification

Upon completion of the training, participants will be assigned a final capstone project to apply their knowledge. Those who successfully complete the capstone project will receive a Certificate of Merit from DATA+ Rwanda, recognizing their proficiency in project proposal and report writing.

Training Schedule & Registration

• Duration: 3 weeks (weekend program) 
• Dates: December 6th - 22nd 2025 (3 Weekends)
• Time: 09:00 AM - 5:00 PM (Full-day training)
• Venue: University of Rwanda—UR-CST Nyarugenge Campus
• Training Fee: 50,000 RWF (Payment required to complete registration.)
• Registration link: https://dataplusrwanda.com/courses/apply/geospatial-data-analysis-training

• Payment mode: Equity Bank: 4002200779105

• DATA+ Consultant ltd. MOMO pay code *182*8*1*92570

• Registration & Payment Deadline: December 1st, 2025

For inquiries and registration, contact:

• Email: info@dataplusrwanda.com 
• Phone: +250784857317
• Location: 3rd floor, Ubumwe House, KG 5 Kimihurura Ave, Kigali, Rwanda.

Karara Benon
CEO, DATA+ Rwanda