Data Analysis with Python, Pandas and Numpy Training Course

This instructor-led, live training in India (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 India (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts 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 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 India (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 India (online or onsite) is designed for beginner-level professionals keen on mastering the fundamental concepts and tools of ArcGIS.

Upon completing this training, participants will be able to:

• Grasp the core concepts of GIS and spatial data.
• Navigate the ArcGIS interface effectively.
• Create and manage spatial data.
• Conduct basic spatial analysis.
• Develop maps and visualizations.

ArcGIS Professional Plus is an advanced iteration of ArcGIS Pro, designed to provide extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise-level collaboration.

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

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

• To arrange a customized training session for this course, please get in touch with us.

This instructor-led, live training in India (online or onsite) is designed for advanced-level GIS professionals seeking to enhance their spatial analysis capabilities through ArcGIS Pro. The course focuses on comprehensive geostatistical analysis and the application of advanced 3D modeling techniques to support more effective decision-making and problem-solving in practical 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 geospatial data has become a strategic imperative. Currently, depending on disjointed data sources exposes organizations to substantial operational risks. This rigorous 14-day program in Melbourne aims to bridge the divide between electrical engineering and geospatial management.

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

By the conclusion 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 industry.

This instructor-led live training, available online or onsite, is designed for 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 completing this training, participants will be equipped to:

• Articulate the role of AI, Big Data, IoT, and automation in contemporary insurance workflows.
• Identify InsurTech trends and comprehend their impact on the insurance ecosystem.
• Craft customer-centric strategies empowered by digital tools and data insights.
• Implement data-driven approaches for effective risk management and decision-making.
• Develop an innovation and change management strategy tailored for insurance companies.
• Evaluate real-world case studies and adapt lessons learned into local initiatives.

Format of the Course

• Interactive lectures and group discussions.
• Case study analysis and collaborative workshops.
• Practical exercises and action planning tailored to participants' organizations.

Course Customization Options

• To request a customized training session for this course, please get in touch with us to arrange it.

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

RE@Agile draws inspiration from both IREB’s perspective on Agile values and the Agile viewpoint on Requirements Engineering values. The content covers the classification and assessment 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 key process elements in Agile product development and highlights the motivation for adopting Agile in development processes.

A significant focus area is the synergy between Requirements Engineering and Agile, including Agile principles related 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 types of examinations are available:

• A proctored multiple-choice examination leading to an official RE@Agile Primer certificate. This exam 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 with a confirmation of participation.

This advanced module, RE@Agile, is designed for Requirements Engineers and agile practitioners. It emphasizes mastering the application of Requirements Engineering practices and techniques within agile development workflows. Additionally, it covers the integration of agile concepts, techniques, and critical process elements into Requirements Engineering activities.

The Examination

This course aims to prepare candidates for the following Advanced Level certification exams:

• RE@Agile - Practitioner (assessed via a multiple-choice examination)
• RE@Agile - Specialist (assessed through a written assignment)

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

Who is this course for:

The Advanced Requirements Management course is designed for professionals working 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 when relevant.

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

CPRE Advanced Level (Management) – Practitioner

• To obtain the Requirements Management - Practitioner certificate, candidates must take a multiple-choice exam.

CPRE Advanced Level (Management) – Specialist

• To obtain the Requirements Management - Specialist certificate, candidates must complete a written assignment.

This instructor-led, live training in India (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 for capturing, storing, manipulating, analyzing, managing, and presenting spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic field dedicated to studying these systems, which forms a significant part of the broader discipline of geoinformatics.

QGIS operates as a GIS software solution, 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 point, line, or polygon features. The software accommodates multiple 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 first phase, this program introduces the QGIS interface for general usage. The second phase covers PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into your Python code or applications. This allows you to even develop your own Python Plugins tailored to specific GIS functionalities.