Data Analysis with Python, Pandas and Numpy Training Course

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

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

• Output spatial data as visualizations.
• Conduct geostatistics 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 Portugal (online or onsite) is tailored for GIS professionals and analysts ranging from beginner to advanced proficiency. Participants will learn how to leverage ArcGIS effectively for data visualization, spatial analysis, and the management of geospatial projects.

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

• Navigate and utilise ArcGIS tools for the management of geospatial data.
• Design and customise maps incorporating layers and attributes.
• Execute advanced spatial analysis and geoprocessing tasks.
• Automate workflows through the use of ModelBuilder and Python.

This instructor-led live training in Portugal (online or onsite) is intended for beginner-level IT support personnel seeking to deliver high-quality support for ArcGIS Enterprise, including the effective resolution of technical faults.

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

• Comprehend the architecture and core components of ArcGIS Enterprise.
• Acquire the ability to install, configure, and manage ArcGIS Enterprise.
• Develop troubleshooting skills to address common technical issues.
• Enhance proficiency in monitoring and maintaining ArcGIS Enterprise ecosystems.
• Master essential techniques for backup, recovery, and performance optimization.

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

This instructor-led live training, available online or onsite, is designed for intermediate-level GIS professionals seeking to enhance their proficiency in spatial data analysis, automation, and sharing through ArcGIS Professional Plus tools.

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

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

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation within a live-lab environment.

Course Customisation Options

• To arrange a bespoke training session for this course, please contact us.

This instructor-led, live training in Portugal (available online or on-site) 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.

In the dynamic energy landscape, merging electrical transient analysis with accurate geographic information is a strategic imperative. At present, dependence on disjointed data introduces considerable operational hazards. This intensive 14-day course, held in Melbourne, aims to bridge the divide between electrical engineering and geospatial management.

This instructor-led, live training in Portugal (online or onsite) is designed for geographers at an intermediate level who aim to expand their proficiency in spatial analysis, data management, and practical GIS applications.

Upon completion of this training, participants will be capable of:

• Employing advanced spatial analysis methods to address intricate geographical challenges.
• Overseeing extensive spatial databases and conducting rigorous data quality checks.
• Developing dynamic, interactive maps and visualizations for diverse use cases.
• Leveraging programming and automation to optimize 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 seeking to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operations.

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 the intersection of Requirements Engineering and Agile methodologies. It is designed for individuals in roles such as project or IT management, domain experts, system analysts, software developers, Scrum Masters, Product Owners, and members of Agile-centric organizations.

RE@Agile draws inspiration from both IREB’s perspective on Agile values and the Agile interpretation of Requirements Engineering values. The curriculum covers the classification and assessment of Requirements Engineering artifacts and techniques within Agile contexts, as well as Agile artifacts and techniques within Requirements Engineering frameworks. It also examines essential process elements in Agile product development, highlighting the rationale for adopting Agile in development processes.

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

The Examination

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

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

This Advanced Level Module, RE@Agile, is designed for Requirements Engineers and agile practitioners. It focuses on understanding and applying 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 processes. >

The Examination

This course prepares you for the Advanced Level certification exams in:

• RE@Agile - Practitioner (the certificate is awarded based on a multiple-choice exam)
• RE@Agile - Specialist (the certificate is awarded based on a written assignment)

This 3-day course is delivered via live instructor-led sessions, available either online (remote) or onsite (classroom).

Who is this course for:

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

Examination:

Additional exam fees may apply.

The “IREB Certified Professional for Requirements Engineering – Advanced Level (Management)” exam consists of:

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 Portugal (online or onsite) is designed for beginner-level professionals in earth sciences and engineering who aim to leverage Python for geospatial analysis in ArcGIS and QGIS environments.

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

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Apply 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 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 employed to denote Geographic Information Science (GIScience), which refers to the academic discipline investigating geographic information systems and constitutes a significant subfield within the broader domain of geoinformatics.

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

In the initial phase, this course introduces the QGIS interface for general use. During the second phase, we cover PyQGIS—the Python libraries of QGIS that facilitate the integration of GIS functionalities into your Python code or applications. This knowledge allows you to develop your own Python Plugins tailored to specific GIS functionalities.