Data Analysis with Python, Pandas and Numpy Training Course

This instructor-led, live training in the Netherlands (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 the Netherlands (online or onsite) is designed for GIS professionals and analysts ranging from beginner to advanced levels who aim to master the use of ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and leverage ArcGIS tools for effective geospatial data management.
• Design and customize maps using layers and attributes.
• Execute advanced spatial analysis and geoprocessing operations.
• Streamline workflows through ModelBuilder and Python.

This instructor-led, live training session (the Netherlands, available online or onsite) is designed for entry-level IT support personnel seeking to provide comprehensive support for ArcGIS Enterprise, ensuring effective resolution of system anomalies and failures.

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

• Comprehend the architecture and constituent components of ArcGIS Enterprise.
• Perform installation, configuration, and management tasks for ArcGIS Enterprise.
• Acquire skills necessary to troubleshoot and resolve common operational issues.
• Establish proficiency in monitoring and maintaining ArcGIS Enterprise infrastructures.
• Master techniques for data backup, system recovery, and performance optimization.

This instructor-led live training in the Netherlands (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 advanced iteration of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modelling, automation, and enterprise collaboration.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level GIS professionals looking to enhance their expertise in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

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

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

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice opportunities.
• 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, available the Netherlands (online or onsite), is designed for advanced GIS professionals who want to use ArcGIS Pro to enhance their spatial analysis capabilities, perform comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for better 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.

In the dynamic energy landscape, combining electrical transient analysis with accurate geographic information has become a strategic imperative. Relying on disjointed data sources currently creates substantial operational vulnerabilities. This intensive 14-day program in Melbourne is tailored to bridge the divide between electrical engineering principles and geospatial management practices.

This instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level geographers who wish 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.

Insurance in the Digital Era provides a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led live training (available online or onsite) is designed for intermediate-level insurance professionals who aim 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 able to:

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and understand their impact on 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.

This foundational course caters to professionals engaged in Requirements Engineering and Agile methodologies. It is designed for roles including project or IT management, domain experts, system analysts, software developers, Scrum Masters, Product Owners, and members of Agile-oriented organizations.

RE@Agile draws inspiration from both IREB’s perspective on Agile values and an Agile interpretation of Requirements Engineering values. The curriculum covers the classification and evaluation of Requirements Engineering work products and techniques within an Agile context, as well as Agile work products and techniques within Requirements Engineering. It also addresses essential process elements in Agile product development and highlights the rationale for adopting Agile approaches in development processes.

A key focus is the synergy between Requirements Engineering and Agile: exploring Agile principles related to Requirements Engineering and the Agile mindset in relation to core Requirements Engineering values.

The Examination

This course serves as the preparation for the RE@Agile Primer examination. Two examination options are available:

• A proctored multiple-choice exam leading to the official RE@Agile Primer certificate, comparable in format to the CPRE Foundation and Advanced Level exams, but with a duration of 40 minutes.
• An online multiple-choice self-assessment with a confirmation of participation.

This Advanced Level Module, RE@Agile, is designed for Requirements Engineers and agile professionals. It concentrates on understanding and implementing practices and techniques from the Requirements Engineering discipline within agile development processes. Additionally, it covers the comprehension and application of concepts, techniques, and essential process elements of agile approaches in Requirements Engineering workflows.

The Examination

This course prepares participants for the Advanced Level certification exams under:

• RE@Agile - Practitioner (certificate awarded upon passing a multiple-choice exam)
• RE@Agile - Specialist (certificate awarded upon successful completion of a written assignment)

This three-day course is conducted as a live, instructor-led session, available either online (remote) or onsite (classroom).

Who is this course for:

The Advanced Requirements Management course is designed for professionals in the fields of requirements engineering, business analysis, business engineering, organizational design, and related disciplines who wish to deepen their knowledge and skills in requirements management.

Examination:

Additional exam fees may apply where applicable.

The “IREB Certified Professional for Requirements Engineering – Advanced Level (Management)” exam comprises the following options:

CPRE Advanced Level (Management) – Practitioner

• The exam to achieve the Requirements Management - Practitioner - certificate
  consists of a multiple-choice exam.

CPRE Advanced Level (Management) – Specialist

• The exam to achieve the Requirements Management - Specialist - certificate consists of
  a written assignment.

This instructor-led live training in the Netherlands (online or onsite) is designed for beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in both ArcGIS and QGIS environments.

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

• Master Python syntax and control structures to execute geospatial tasks effectively.
• Leverage Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS contexts.
• Manipulate and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to optimize task execution.

A Geographic Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.