Event Details:

Call for registration for a professional training on Geospatial Data Analysis Training

Organized by DATA+ Rwanda

Location: UR-CST Nyarugenge Campus, Rwanda

Training Dates: April 12th - 27th, 2025 (3 Weekends)

Training Mode: In-person & Virtual, Full-day, Hands-on Training

Registration link: https://forms.gle/t3HdK1wLLRtyZ1e87

Introduction

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

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 Analysis 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.

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 ArcGIS, 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.

Training Methodology

The training will be hands-on and practical, 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 analysis, will guide participants through practical exercises and real-time projects.

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 3: Raster Data Analysis and Satellite Image Processing

Day 4: Geospatial Analysis Techniques (Buffering, Overlay Analysis, Spatial Joins)

Weekend 3:

Day 5: Site selection analysis

Day 6: Data Visualization, Reporting, and Software Tools (GEE, ArcGIS, Python)

Target Audience

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

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.

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.

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.

Agriculturalists interested in monitoring crop health, land use, and farming practices using geospatial data.

Economists looking to analyze spatial economic patterns, trends, and forecasts.

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.

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: April 12th - 27th, 2025 (3 Weekends)

Time: 09:00 AM - 17:00 PM (Full-day training)

Venue: University of Rwanda—UR-CST Nyarugenge Campus

Training Fee: 40,000 RWF (Payment required to complete registration.)

Registration link: https://forms.gle/t3HdK1wLLRtyZ1e87

Payment mode: Equity Bank: 4002200779105

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

Registration & Payment Deadline: April 10th, 2025

For inquiries and registration, contact:

Email: dataplus.21@gmail.com

Phone: +250784857317

Location: 3rd floor, Ubumwe House, KG 5 Kimihurura Ave, Kigali, Rwanda.

Karara Benon

CEO, DATA+ Rwanda