Data Analysis Training in Copenhagen

This instructor-led, live training in Copenhagen (online or onsite) targets intermediate-level Grafana users aiming to build interactive, drill-down dashboards equipped with dynamic thresholds and contextual updates.

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

• Develop dashboards that react to user interactions, such as clicking a graph bar
• Implement visual drill-downs that update in-place (without opening new tabs)
• Configure pie charts and detailed panels based on selection filters
• Utilize dynamic thresholds that respond to user input and real-time data

This live, instructor-led session, conducted in Copenhagen (either online or on-site), is specifically tailored for intermediate-level data scientists and engineers seeking to harness Google Colab and Apache Spark for efficient big data processing and analytics.

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

• Establish a big data environment leveraging Google Colab and Spark.
• Effectively process and analyze extensive datasets using Apache Spark.
• Visualize big data insights within a collaborative workspace.
• Connect Apache Spark with cloud-based toolsets.

This instructor-led live training, conducted in Copenhagen (either online or onsite), is designed for intermediate-level system administrators and monitoring professionals looking to utilize Grafana for establishing monitoring solutions, managing dashboards, and generating alerts.

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

• Distinguishing between observability and monitoring.
• Installing and configuring the Grafana server.
• Setting up and linking various data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Creating, managing, and customizing dashboards and charts.
• Using variables and queries to develop dynamic dashboards.
• Configuring notifications and alerts through Grafana.
• Installing and managing plugins to enhance Grafana’s functionality.

This live, instructor-led session in Copenhagen delves into the Stratio platform, with a specific focus on the Rocket and Intelligence modules in conjunction with PySpark. Learners will gain proficiency in data ingestion, transformation, and advanced analytics, developing practical expertise in loops, UDFs, and enterprise-grade data workflows.

This live, instructor-led training held in Copenhagen (either online or on-site) is designed for intermediate data professionals aiming to apply time series forecasting techniques to practical datasets via Google Colab.

By the conclusion of this training, attendees will have the ability to:

• Comprehend the essentials of time series analysis.
• Utilize Google Colab for processing time series data.
• Implement ARIMA models for trend prediction.
• Apply Facebook’s Prophet library for flexible forecasting.
• Create visual representations of time series data and forecast outcomes.

This instructor-led, live training (online or onsite) in Copenhagen is designed for intermediate-level developers and DevOps engineers aiming to instrument their applications for effective custom metric exportation and monitoring via Prometheus and Grafana.

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

• Recognize the significance of custom metrics in application monitoring strategies.
• Instrument applications to publish custom metrics for Prometheus ingestion.
• Build and configure Grafana dashboards to present custom metric data.
• Adopt best practices for weaving monitoring into the development lifecycle.

This instructor-led live training, available in Copenhagen either online or onsite, is tailored for advanced-level DevOps and SRE professionals aiming to refine their alerting and automation capabilities using Grafana and Prometheus.

By the conclusion of this training, participants will be capable of:

• Developing and managing advanced alerting rules in Prometheus.
• Connecting Prometheus Alertmanager with external tools via webhooks.
• Accelerating issue resolution by automating alert responses.
• Utilizing Grafana to visualize and manage alerts efficiently.

Participants completing this instructor-led, live training in Copenhagen will develop a practical, real-world understanding of Big Data and its related technologies, methodologies, and tools.

Hands-on exercises allow participants to apply this knowledge in practice. Group interaction and instructor feedback are central to the learning experience.

The course introduces fundamental Big Data concepts before exploring the programming languages and methodologies used for Data Analysis. It finishes by discussing the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

This instructor-led training on Copenhagen empowers intermediate GIS professionals with advanced ArcGIS Pro Plus capabilities. Participants will gain mastery over 3D modelling, spatial data analysis, and Python automation, enabling them to construct robust geospatial workflows suited to enterprise environments.

This live, instructor-led training in Copenhagen (online or on-site) is designed for entry-level data engineers, analysts, and scientists seeking to leverage dbt Cloud for managing their data warehousing and transformation workflows in the cloud.

Upon completing 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 live, instructor-led course in Copenhagen (delivered online or on-site) is designed for GIS professionals and analysts of all levels, from beginners to advanced users, who seek to proficiently leverage ArcGIS for visualizing data, conducting spatial analysis, and managing geospatial projects.

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

• Manage geospatial data efficiently using ArcGIS tools.
• Construct and customize maps incorporating various layers and attributes.
• Carry out sophisticated spatial analysis and geoprocessing tasks.
• Optimize workflows by employing ModelBuilder and Python.

This live, instructor-led session Copenhagen (available online or on-site) is tailored for intermediate DevOps and SRE professionals looking to develop high-impact dashboards and enhance their monitoring workflows through Grafana and Prometheus.

Once finished, participants will possess the skills to:

• Apply best practices for designing effective dashboards.
• Build and configure advanced Grafana dashboard elements.
• Use Grafana templating for creating dynamic and reusable dashboards.
• Implement alerting mechanisms to improve operational awareness.

This live, instructor-led training, delivered in Copenhagen (either online or onsite), is tailored for advanced GIS professionals. It aims to help users refine their spatial analysis skills via ArcGIS Pro, execute detailed geostatistical assessments, and apply advanced 3D modeling techniques to improve decision-making and solve real-world problems.

By the conclusion of the program, participants will be able to:

• Refine advanced spatial analysis techniques using ArcGIS Pro.
• Apply Python scripting for automation and complex data processing.
• Use spatial modeling to tackle real-world scenarios.
• Execute geostatistical analysis for advanced data interpretation.
• Combine external data sources with 3D spatial data analysis.

This live, instructor-led session in Copenhagen (either online or onsite) is tailored for data analysts and business professionals from beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Comprehend the basics of Google Gemini AI.
• Link diverse data sources to Gemini AI.
• Investigate data via natural language queries.
• Examine data patterns to derive insights.
• Generate compelling data visualizations.
• Communicate insights based on data effectively.

This instructor-led, live training in Copenhagen (online or onsite) is aimed at data analysts and anyone who is interested to learn 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 live, instructor-led training in Copenhagen (delivered online or onsite) is tailored for beginner-level IT support personnel aiming to provide robust support for ArcGIS Enterprise. The focus is on effectively managing anomalies and resolving failures.

By the end of the program, participants will have the ability to:

• Understand the architecture and components of ArcGIS Enterprise.
• Install, configure, and manage the platform.
• Troubleshoot and resolve common issues.
• Monitor and maintain ArcGIS Enterprise environments.
• Master backup, recovery, and performance optimization techniques.

This instructor-led live training, delivered Copenhagen either online or onsite, is tailored for entry-level IT professionals and DevOps practitioners seeking to master the basics of Grafana and Prometheus.

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

• Comprehend the purpose and key capabilities of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux system.
• Configure basic data sources and build dashboards in Grafana.
• Monitor system metrics and visualize data via Prometheus.

This live, instructor-led training is available in Copenhagen (either online or on-site) and is designed for intermediate data engineers aiming to master the use of Azure Synapse Analytics for comprehensive data processing, analytics, and visualization.

By the end of the session, participants will have the ability to:

• Comprehend the core concepts, architecture, and constituent parts of Azure Synapse Analytics.
• Develop, configure, and maintain scalable data warehouses using Azure Synapse.
• Gain proficiency in ETL techniques for ingesting, transforming, and loading data from diverse sources into Azure Synapse.
• Improve query performance, secure data assets, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This live, instructor-led programme in Copenhagen, offered online or on-site, is tailored for entry-level professionals aiming to acquire the essential concepts and tools of ArcGIS.

By the conclusion of this training, participants will be capable of:

• Understanding core GIS principles and spatial data concepts.
• Navigating the ArcGIS interface efficiently.
• Creating and managing spatial data.
• Performing basic spatial analysis.
• Designing maps and visualizations.

This live, instructor-led training Copenhagen (delivered online or onsite) is specifically designed for entry-level earth sciences and engineering professionals aiming to leverage Python for geospatial analysis within ArcGIS and QGIS.

By the end of this session, participants will have the competence to:

• Apply Python syntax and control structures to perform geospatial tasks more efficiently.
• Leverage Pandas, NumPy, and Matplotlib for insightful data analysis and visualization in GIS projects.
• Manipulate and process vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate complex geospatial workflows via Python scripting in both ArcGIS and QGIS.
• Create bespoke geoprocessing tools in Python for ArcGIS and QGIS to optimize task execution.

This live, instructor-led training in Copenhagen explores advanced big data methodologies, distributed computing, and scalable machine learning. It is tailored for experienced data professionals aiming to master real-time analytics, deep learning integration, and robust data governance strategies.

In Copenhagen, the primary goal of this course is to equip participants with the ability to provide evidence-based answers to key questions:

What has occurred?

• Processing and interpreting data
• Creating clear and informative data visualizations

What is expected to occur?

• Projecting future performance
• Assessing the accuracy of forecasts

What ought to happen?

• Translating data into evidence-based business decisions
• Enhancing and optimizing operational processes

This live, instructor-led training—delivered either online or on-site—is designed for intermediate-level geographers looking to enhance their proficiency in spatial analysis, data management, and practical GIS applications.

Upon completion, participants will be equipped to:

• Apply sophisticated spatial analysis techniques to address complex geographical challenges.
• Oversee large-scale spatial databases and ensure rigorous data quality control.
• Develop dynamic, interactive maps and visualizations tailored to diverse applications.
• Leverage programming and automation to optimize GIS workflows.

This instructor-led live training, conducted in Copenhagen (online or on-site), targets intermediate data analysts seeking to leverage the advanced features and components of Grafana for sophisticated data visualization and analysis.

By the end of the program, participants will be able to:

• Acquire a deep understanding of advanced Grafana concepts and components.
• Employ template variables and dynamic dashboards to improve data visualization.
• Perform complex queries using Grafana Query Language.
• Master best practices for scaling Grafana, performance optimization, and maintaining high availability.

A hands-on training in Copenhagen that empowers insurance professionals to utilize AI, data, and InsurTech trends to modernize operations and customer interactions. Through workshops, case studies, and practical exercises, participants will build digital strategies to navigate a rapidly evolving industry.

This live, instructor-led training in Copenhagen explores practical Requirements Engineering concepts, elicitation methods, and documentation strategies. It offers comprehensive exam preparation to assist participants in mastering the IREB CPRE syllabus and successfully achieving the Foundation Level certification.

This instructor-led, live training in Copenhagen (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 is conducted in Copenhagen (available online or onsite) and is designed for developers and administrators looking to utilize OpenSearch for distributed search and data analytics in a secure, unified environment.

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

• Establish the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Comprehend the three approaches (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Learn to index data, create data streams, execute queries, and streamline cross-cluster operations in OpenSearch.
• Explore and implement plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, and Grafana) to optimize search performance while maintaining cluster security.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Copenhagen (online or onsite) is designed for individuals who wish to learn just enough Python to start analyzing numerical data from sales records, 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 conducting analysis.
• Perform simple statistical analysis.
• Generate reports that present the desired data in the right format, from raw numbers to data visualizations.
• Gain valuable insights from data, including performance trends and problematic areas.

This live, instructor-led training, delivered in Copenhagen (online or on-site), targets business analysts aiming to acquire advanced Spotfire Analyst skills for data analysis.

By the conclusion of this program, participants will have the ability to:

• Share visual insights among different team members.
• Implement secure access controls based on user roles.
• Generate visualizations, such as map charts.
• Integrate statistical languages like R with Spotfire.

This live, instructor-led training in Copenhagen, offered either online or onsite, is designed for field ecologists and conservation managers looking to create spatial data projects in ArcGIS.

By the conclusion of this training, participants will be capable of:

• Presenting spatial data through visualizations.
• Performing geostatistics on actual datasets.
• Carrying out spatial data analysis, processing, and mapping using ArcGIS.
• Analyzing spatial data for specific projects within ArcGIS.

This instructor-led live training in Copenhagen (available online or onsite) targets data scientists, data analysts, and business analysts looking to clean and process data effectively.

Upon completing this training, participants will be equipped to:

• Formulate a robust strategy for data cleaning.
• Utilize essential tools for data cleansing.
• Achieve results with improved efficiency.
• Master and apply industry-standard best practices in data cleaning.

This instructor-led, live training in Copenhagen (delivered online or onsite) is tailored for intermediate-level managers and specialists seeking to understand the forces driving digital change in financial services and how to effectively implement it within their organizations.

Upon completing this training, participants will be able to:

• Articulate the key drivers of digital transformation in banking and financial services.
• Identify value creation opportunities in digital channels, lending, and SME banking.
• Comprehend how Agile methodologies and product thinking facilitate transformation.
• Draw insights from both successful and failed transformation initiatives.

Within the dynamic energy sector, combining electrical transient analysis with accurate geographic information has become a critical strategic requirement. The current dependence on fragmented data creates substantial operational vulnerabilities. This 14-day intensive program in Melbourne is crafted to narrow the gap between electrical engineering and geospatial management.

This instructor-led live training, available either onsite or remotely in Copenhagen, is designed for data analysts looking to leverage Grafana for monitoring and data visualization.

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

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

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The curriculum covers an introduction to data processing and analysis, KNIME installation and configuration, workflow construction, and the methodology for creating business models and data modeling. The course also addresses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data exploration, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion covers reporting, as well as integration with BIRT and KNIME WebPortal.

This live, instructor-led program, delivered Copenhagen (either online or onsite), is designed for data scientists seeking to integrate Python and R capabilities into KNIME workflows.

Upon completion, participants will be equipped to:

• Design, construct, and deploy machine learning models within KNIME.
• Drive operational decisions through data-driven insights.
• Execute comprehensive, end-to-end data science projects.

As your delegates 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 architected 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.

This live, instructor-led session in Copenhagen (available online or onsite) is tailored for professionals who want to deepen their understanding of requirements analysis and apply it effectively to their projects using specialized analysis techniques.

By the end of the training, participants will be equipped to:

• Differentiate between various types of requirements.
• Understand the fundamental concepts and activities within the requirements analysis process.
• Become well-versed in the standard requirements analysis methodology.
• Utilize diverse analysis techniques to their full advantage.
• Structure requirements logically to enable efficient collaboration with architects and developers through iterative gathering.

Snowflake is a cloud-native data platform offering robust capabilities for processing and analyzing vast datasets. As a Software-as-a-Service (SaaS) solution, it merges the agility and scalability of the cloud with the power of advanced data warehousing. Core features include:

Cloud-Native Architecture: Built for the cloud, Snowflake is engineered for flexibility and high performance, enabling effortless scaling of both storage and processing resources.

Decoupled Storage and Compute: A distinctive architectural trait allows for the independent scaling and optimization of storage and compute workloads.

Diverse Data Support: The platform accommodates a wide range of data types, including structured, semi-structured (e.g., JSON, XML), and unstructured formats.

High Performance and Query Efficiency: Features rapid query execution and automatic optimization, facilitating efficient analysis of large-scale datasets.

Security and Access Control: Delivers enterprise-grade security, encompassing data encryption, role-based access control, and comprehensive auditing.

Seamless Integration: Easily connects with leading ETL, BI, and data analytics tools to build holistic analytical solutions.

Cost Agility and Scalability: An on-demand pricing model ensures cost efficiency by charging only for the resources actually utilized.

Application Versatility: Ideal for diverse use cases, ranging from standard BI analytics to advanced big data processing, machine learning, and beyond.

Snowflake is widely adopted by organizations of all scales due to its flexibility, high performance, user-friendliness, and adaptability to evolving business and technology requirements.

This instructor-led, live training in Copenhagen (online or onsite) is designed for business and data analysts looking to utilize the artificial intelligence capabilities of TIBCO Spotfire X for data visualization, transformation, and analysis.

By the end of the training, participants will be capable of:

• Installing and configuring TIBCO Spotfire X.
• Understanding the features and architecture of TIBCO Spotfire X.
• Comprehending the concepts of augmented and predictive analytics.
• Loading, processing, and visualizing data effectively using Spotfire X.
• Creating interactive and enhanced data visualizations.

This instructor-led, live training in Copenhagen (online or on-site) is tailored for business professionals aiming to use data storytelling, PowerPoint, and AI tools to craft executive presentations that drive decision-making while adhering to corporate branding standards.

By the end of this training, participants will be able to: structure messages using AI, enhance slide design, strengthen visual narratives, and deliver clearer, more effective executive presentations.