Data Analysis with Python, Pandas and Numpy Training Course

This instructor-led live training in Serbia (online or onsite) targets intermediate-level business and IT professionals who want to learn how to write effective acceptance criteria for requirements.

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

• Understand the importance of acceptance criteria.
• Create and verify requirements acceptance criteria.
• Apply different methods for describing acceptance criteria.
• Ensure the quality of analytical artifacts.

This instructor-led, live training in Serbia (online or onsite) is designed for field ecologists and conservation managers who want to develop spatial data projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatistical analysis on real-world data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

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

By the end 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 Serbia (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 Serbia (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 Pro Plus is an enhanced version of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

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

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

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

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led live training in Serbia (online or onsite) is designed for advanced GIS professionals who aim to use ArcGIS Pro to boost their spatial analysis capabilities, conduct thorough geostatistical analysis, and apply advanced 3D modeling techniques for better decision-making and problem-solving in real-world contexts.

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 rapidly changing energy landscape, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Reliance on disjointed data sources currently introduces substantial operational risks. This intensive 14-day program, held in Melbourne, aims to bridge the divide between electrical engineering and geospatial management.

This instructor-led, live training in Serbia (online or on-site) is designed for 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) targets intermediate-level insurance professionals who want to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operations.

Upon completing 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.

This foundational course is designed to meet the needs of professionals engaged in Requirements Engineering and Agile methodologies. It targets individuals in roles such as project and IT management, domain experts, system analysts, software developers, Scrum Masters, Product Owners, and members of Agile organizations.

RE@Agile integrates IREB’s perspective on Agile values with the Agile viewpoint on 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 in the context of Requirements Engineering. It also addresses essential process elements in Agile product development and highlights the motivation for adopting Agile practices in the development process.

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

The Examination

This course serves as the basis for the RE@Agile Primer examination. Candidates can choose from two examination formats:

• A proctored multiple-choice examination leading to an official RE@Agile Primer certificate. This format is similar to the CPRE Foundation Level and Advanced Level multiple-choice examinations but has a duration of 40 minutes.
• An online multiple-choice self-assessment that provides a confirmation of participation.

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

The Examination

This course is designed to prepare participants for the Advanced Level certification exams in the following areas:

• RE@Agile - Practitioner (the certificate involves a multiple-choice exam)
• RE@Agile - Specialist (the certificate involves a written assignment)

This instructor-led, live training in Serbia (online or onsite) is designed for beginner-level earth sciences and engineering professionals who wish to apply 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 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.