Digital Intelligence for Public Sector Professionals Training Course

This instructor-led, live training in Botswana (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 Botswana (online or on-site) is tailored for GIS professionals and analysts ranging from beginner to advanced levels who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

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

This instructor-led, live training in Botswana (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 Botswana (online or onsite) is aimed at beginner-level professionals who wish to learn 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 is an enhanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

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

• Leverage ArcGIS Pro Plus tools for data visualization and analysis.
• Create 2D and 3D maps with advanced symbology and geoprocessing techniques.
• Automate workflows using ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Botswana (online or onsite) is designed for advanced GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modelling 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 Botswana (online or onsite) is aimed at GIS analysts who wish 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 dynamic energy sector, integrating electrical transient analysis with accurate geographic data has become a strategic imperative. Currently, dependence on disjointed data sources exposes operations to considerable risks. This intensive 14-day programme, hosted in Melbourne, aims to bridge the divide between electrical engineering and geospatial management.

This instructor-led, live training in Botswana (online or onsite) is tailored for intermediate-level geographers aiming 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 Botswana (online or onsite) is designed for developers who wish to enhance their website or web application by adding geo-location functionality via Google Maps.

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

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

Insurance in the Digital Age offers a practical exploration 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 eager to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.

Upon completion of this training, participants will be equipped 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.

Course Format

• 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) serves as a vital discipline within software and systems development, concentrating on identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals eager to deepen their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification examination.

Upon completing this training, participants will be equipped to:

• Comprehend and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective techniques tailored to the specific context.
• Model, document, and validate requirements for practical, real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to improve communication and project outcomes.
• Be fully prepared to sit for and pass the IREB CPRE – Foundation Level certification exam.

Course Format

• Interactive lectures and discussions.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be included upon request.

This instructor-led, live training in Botswana (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 built to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), which refers to the academic field studying these systems, representing a significant area within the broader discipline of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial data, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as points, lines, or polygons. The software accommodates various raster image formats and can georeference images. In summary, it allows users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In the first phase, this program introduces the QGIS interface for general use. The second phase covers PyQGIS, which comprises the Python libraries of QGIS that facilitate the integration of GIS functionalities into your Python code or application, allowing you to develop custom Python plugins around specific GIS capabilities.