Data Analysis with MongoDB Aggregation Framework Training Course

This instructor-led, live training in Nigeria (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

This instructor-led live training in Nigeria (online or onsite) is geared towards GIS professionals and analysts at all skill levels who aim to harness ArcGIS for data visualization, spatial analysis, and effective geospatial project management.

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

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led live training in Nigeria (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.

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

• Understand the architecture and components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This instructor-led live training in Nigeria (online or onsite) is tailored for beginner-level professionals keen on learning the fundamental concepts and tools of ArcGIS.

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

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

ArcGIS Professional Plus represents the advanced tier of the ArcGIS Pro suite, delivering extended capabilities for geospatial data analysis, 3D modelling, automation, and enterprise-level collaboration.

This instructor-led live training, available either online or onsite, is designed for GIS professionals with an intermediate skill set who wish to enhance their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus tools.

Upon completion of this training, participants will be equipped to:

• Utilise ArcGIS Pro Plus tools to execute data visualisation and analysis.
• Develop 2D and 3D maps utilising advanced symbology and geoprocessing techniques.
• Automate operational workflows through ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customisation Options

• To request a bespoke training session for this course, please reach out to us to make arrangements.

This instructor-led, live training in Nigeria (online or onsite) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.

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

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

This instructor-led, live training in Nigeria (online or onsite) is designed for GIS analysts who want to automate repetitive tasks in GIS processes.

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

• Build GIS applications using Python and ArcGIS tools.
• Develop with the ArcGIS package ArcPy, using Python.
• Apply the ArcGIS modules for map automation using object classes in Python.

In the rapidly changing energy sector, merging electrical transient analysis with accurate geographic data has become a strategic imperative. Relying on disjointed data currently exposes operations to significant risks. This 14-day intensive programme, held in Melbourne, aims to bridge the gap between electrical engineering and geospatial management.

This instructor-led live training (online or onsite) is designed for intermediate-level geographers who want to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

This instructor-led, live training in Nigeria (online or onsite) is designed for developers who want to enhance their websites or web applications by adding geo-location functionality via Google Maps.

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

• Embed a map into a new or existing website or web application.
• Display live data that synchronizes with the current location.
• Create a mashup that includes Google Maps.
• Apply good CSS and JavaScript coding practices.
• Create a custom map for an application.

Insurance in the Digital Era provides an applied overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.

This instructor-led live training (available online or onsite) targets intermediate-level insurance professionals who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize insurance offerings and operations.

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

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and how they affect the insurance ecosystem.
• Design customer-centric strategies enabled by digital tools and data insights.
• Apply data-driven approaches to risk management and decision making.
• Develop an innovation and change management approach suitable for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants’ organizations.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Requirements Engineering (RE) is a crucial discipline in software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to ensure project success.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to deepen their understanding of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

Upon completion of this training, participants will be able to:

• Understand and apply key concepts and terminology defined by the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Use Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be added on request.

This instructor-led, live training in Nigeria (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.

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

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

A Geographic Information System (GIS) is a framework engineered to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is also frequently employed to denote Geographic Information Science (GIScience), which refers to the academic discipline dedicated to studying these systems, representing a significant area within the broader field of geoinformatics.

QGIS operates as comprehensive GIS software, empowering users to analyze and edit spatial data, as well as to compose and export graphical maps. It supports both raster and vector layers; vector data is organized into point, line, or polygon features. The software accommodates multiple raster image formats and includes georeferencing capabilities. In essence, it enables users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD operating systems.

In the initial phase, this course introduces the QGIS interface for general usage. The second phase covers PyQGIS—the Python libraries within QGIS that facilitate the integration of GIS functionalities into your Python code or applications. This allows you to develop your own Python plugins tailored to specific GIS tasks.