Data Analysis Training in Utrecht

This guided, live training in Utrecht (online or on-site) is tailored for intermediate-level data scientists and engineers who intend to use Google Colab and Apache Spark for big data processing and analytics.

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

• Establish a big data environment using Google Colab and Spark.
• Efficiently process and analyze large datasets with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to use the Rocket and Intelligence modules in Stratio effectively with PySpark, focusing on looping structures, user-defined functions, and advanced data logic.

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

• Navigate and work within the Stratio platform using Rocket and Intelligence modules.
• Apply PySpark in the context of data ingestion, transformation, and analysis.
• Use loops and conditional logic to control data workflows and feature engineering tasks.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

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.

Making data-informed decisions involves integrating relevant data, evidence, and analysis into the decision-making process to enhance public sector outcomes and accountability.

This instructor-led, live training (available online or onsite) is designed for public sector professionals with limited or emerging experience in using data for decision-making who design, evaluate, or manage government programs and wish to improve their ability to interpret, validate, and apply data to real-world decisions.

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

• Understand what it means to be data-informed (as opposed to data-driven or intuition-based).
• Identify and assess data relevant to a policy or service context.
• Ask better questions of data analysts and interpret dashboards and reports effectively.
• Apply data to justify, refine, or defend decisions in public service contexts.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of decision scenarios, data sets, and mock policy briefs.
• Guided exercises focused on practical decision-making use cases.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Utrecht (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

This instructor-led, live training in Utrecht (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

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

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

Digital intelligence entails the capability to comprehend and utilize digital tools, data, and systems to facilitate informed decision-making within public service delivery and governance.

This instructor-led live training (available online or onsite) targets public sector professionals who have limited or emerging experience in digital intelligence. It is designed for those working with data, digital tools, or service performance metrics, aiming to enhance their capacity to analyze, interpret, and apply information for improved decision-making.

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

• Grasp the foundations of digital intelligence and its application in public sector roles.
• Leverage digital tools to gather, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a roadmap to bolster digital capacity and implement data-driven practices.

Course Format

• Interactive lectures and discussions.
• Practical exercises using digital tools and dashboard mockups.
• Guided activities centered on real-world public service scenarios.

Customization Options

• To arrange customized training tailored to your department's workflows or internal tools, please contact us.

Data storytelling involves using visual and narrative methods to convert complex data sets into clear, engaging stories that inform and inspire action.

This instructor-led live training (available online or on-site) is designed for public sector professionals who work with data but have limited or informal training in data storytelling, and who wish to improve their ability to present data clearly and persuasively through narrative and visuals.

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

• Transform raw data into impactful visual stories.
• Use chart selection and layout to support key messages.
• Structure data narratives that align with audience needs.
• Apply best practices for visual clarity and cognitive impact.

Course Format

• Interactive lecture and discussion.
• Hands-on use of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Utrecht (online or onsite) is designed for advanced-level DevOps and SRE professionals aiming to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools via webhooks.
• Automate responses to alerts to accelerate issue resolution.
• Utilize Grafana to visualize and manage alerts effectively.

Upon completing this instructor-led, live training in Utrecht, participants will gain a practical, real-world understanding of Big Data and its associated technologies, methodologies, and tools.

Participants will have the opportunity to apply this knowledge through hands-on exercises. Group interaction and instructor feedback are integral components of the class.

The course begins with an introduction to fundamental concepts of Big Data, then moves on to the programming languages and methodologies used for Data Analysis. Finally, we discuss the tools and infrastructure that facilitate Big Data storage, Distributed Processing, and Scalability.

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 in Utrecht (online or on-site) is designed for beginner-level data engineers, analysts, and scientists looking to learn how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

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

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led, live training in Utrecht (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 in Utrecht (online or onsite) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

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

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

This instructor-led live training, available Utrecht (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.

This instructor-led, live training in Utrecht (online or onsite) is designed for beginner to intermediate-level data analysts and business professionals who want to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the basics of Google Gemini AI.
• Connect different data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Utrecht (online or onsite) targets data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training session (Utrecht, 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 Utrecht (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led, live training in Utrecht (online or onsite) is designed for intermediate database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

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

• Grasp the concept and significance of Analytic Functions.
• Utilize various Analytic Functions to address complex analytical challenges.
• Integrate Analytic Functions with other SQL capabilities for thorough data analysis.
• Optimize query performance by leveraging Analytic Functions.

This instructor-led live training in Utrecht (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.

This instructor-led live training in Utrecht (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.

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to analyze large, complex datasets for actionable insights and strategic decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level data professionals who wish to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

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

• Design and implement large-scale data processing pipelines for structured and unstructured data.
• Apply advanced machine learning and deep learning techniques to massive datasets.
• Leverage distributed computing frameworks for real-time analytics and data streaming.
• Integrate big data analytics into business intelligence and decision-making 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.

The primary objective of the course is to enable participants to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Utrecht (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.

This instructor-led live training in Utrecht (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

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

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

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.

Requirements Engineering (RE) serves as a fundamental discipline in software and systems development, concentrating on identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

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

Upon completing this training, participants will be capable of:

• Understanding and applying the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identifying and eliciting requirements using effective and context-appropriate techniques.
• Modeling, documenting, and validating requirements for real-world projects.
• Managing requirements changes, traceability, and prioritization throughout the project lifecycle.
• Leveraging Requirements Engineering tools and best practices to improve communication and project outcomes.
• Being fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be added on request.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Software Developers / Data Analysts

Duration

3 days

Format

Lecture-based instruction combined with practical hands-on exercises

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:  

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Utrecht (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led live training in Utrecht (online or onsite) targets developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

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

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Utrecht (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

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

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led training, available online or onsite, is designed for software developers, managers, and business analysts seeking to leverage big data systems for efficient storage and retrieval of large datasets.

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

• Efficiently query large volumes of data.
• Understand the mechanisms by which Big Data systems store and retrieve information.
• Utilize contemporary big data tools available in the market.
• Transform and prepare data from various systems for reporting purposes.
• Write SQL queries across multiple environments, including:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

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

Customization Options

• For bespoke training arrangements, please contact us to discuss your specific requirements.

This course is designed to provide a comprehensive understanding of how to use SQL across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and learning how to join multiple tables within a database, participants will be empowered to shift data analysis tasks from MS Excel directly to the database layer. This approach not only enhances efficiency but also supports the development of any IT system that relies on relational databases.

This instructor-led, live training in Utrecht (online or onsite) targets business analysts who wish to learn advanced TIBCO Spotfire Analyst techniques for data analysis.

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

• Share visualizations across different team members.
• Secure software access based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages, such as R, with TIBCO Spotfire.

This instructor-led, live training in Utrecht (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.

Data Analysis for Business Users is a practical, hands-on training designed to help participants work confidently with business data, extract meaningful insights, and support better decision-making. This instructor-led, live training (online or onsite) is aimed at beginner-to-intermediate-level business professionals who wish to use modern analytical techniques and tools to interpret data, identify trends, and communicate insights effectively.

This instructor-led, live training in Utrecht (online or onsite) is designed for data scientists, data analysts, and business analysts looking to clean and process data efficiently.

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

• Create an effective data cleaning strategy.
• Utilize practical tools for data cleaning.
• Achieve results more efficiently.
• Learn and apply best practices for data cleaning.

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 Utrecht (onsite or remote) is designed for data analysts who wish to leverage Grafana for monitoring and visualizing data.

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

• Configure the necessary development environment to start creating visualizations in Grafana.
• Set up Grafana for high availability.
• Customize panels and dashboards with data.
• Configure a reverse proxy for fast loading speeds.

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 course is offered in a live, instructor-led format, available either online (remote) or onsite (in a classroom setting).

The Certified Professional for Requirements Engineering (CPRE) certification targets professionals working in Requirements Engineering, Business Analysis, and Testing. The curriculum covers the core principles of the Requirements Engineering domain, along with relevant methodologies and techniques.

The certification framework is established by the IREB, and candidates may sit for the CPRE exam through approved certification bodies.

Who is this course for?

This course is designed for anyone involved in Requirements Engineering, Business Analysis, or software and systems development. The Foundation Level module addresses key areas such as eliciting requirements and documenting them appropriately, verifying and validating requirements, and managing them throughout the entire product lifecycle.

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

• Understand the terminology associated with Requirements Engineering, Business Analysis, and Requirements Management.
• Grasp the fundamental techniques and methods of Requirements Engineering and their practical application.
• Become familiar with widely accepted notations for specifying requirements.

The KNIME Analytics Platform stands as a premier open-source solution for driving data-centric innovation. It empowers you to uncover the hidden potential within your data, extract new insights, or forecast future trends. Featuring over 1,000 modules, numerous ready-to-execute examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, the KNIME Analytics Platform serves as the ideal toolkit for data scientists and business analysts alike.

This course on the KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to familiarize themselves with the platform, learn how to utilize it more effectively, and create clear, comprehensive reports based on KNIME workflows.

This instructor-led live training (available online or onsite) is designed for data professionals seeking to leverage KNIME to address complex business challenges.

It is tailored for an audience with no programming background who intend to use cutting-edge tools to implement analytical scenarios.

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

• Install and configure KNIME.
• Construct Data Science scenarios.
• Train, test, and validate models.
• Implement the end-to-end value chain for Data Science models.

Format of the Course

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

Course Customization Options

• To request customized training for this course or to learn more about this program, please contact us to make arrangements.

This instructor-led live training in the Netherlands (online or on-site) is aimed at data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data-driven decisions for operations.
• Implement end-to-end data science projects.

As your participants prepare for advanced Data Analytics degrees abroad, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By combining Python technical foundations with an introductory business analytics framework, we ensure your team starts their academic journey as leaders, not just learners.

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.

This instructor-led live training, available Utrecht (online or onsite), is designed for individuals aiming to understand requirements analysis and execute it efficiently using targeted analytical techniques.

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

• Identify different types of requirements.
• Understand the overarching concepts and activities within requirements analysis.
• Become familiar with requirements analysis methodologies.
• Utilize various requirements analysis techniques to enhance project outcomes.
• Structure requirements to ensure clear and efficient communication with architects and developers through an iterative gathering process.

This instructor-led, live training in Utrecht (online or onsite) is designed for business analysts and data analysts who wish to utilize the artificial intelligence capabilities of TIBCO Spotfire X to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Gain insight into the features and architecture of TIBCO Spotfire X.
• Grasp the underlying concepts of augmented and predictive analytics.
• Master the techniques for loading, processing, and visualizing data using Spotfire X.
• Develop interactive and enhanced data visualizations.

This instructor-led, live training in Utrecht (online or onsite) is aimed at business professionals who wish to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and follow corporate branding standards.

By the end of this training, participants will be able to: structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.