Data Analysis Training in Berlin

This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level Grafana users who wish to build interactive, drill-down dashboards with dynamic thresholds and contextual updates.

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

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

This instructor-led, live training in Berlin (online or onsite) targets intermediate-level data scientists and engineers aiming to utilize Google Colab and Apache Spark for big data processing and analytics.

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

• Establishing a big data environment with Google Colab and Spark.
• Processing and analyzing large datasets effectively using Apache Spark.
• Visualizing big data in a collaborative setting.
• Connecting Apache Spark with cloud-based utilities.

This instructor-led, live training in Berlin (online or onsite) targets intermediate-level system administrators and monitoring professionals who aim to utilize Grafana for implementing monitoring solutions, overseeing dashboards, and setting up alerts.

By the end of this training, participants will have the ability to:

• Differentiate between observability and monitoring.
• Install and set up the Grafana server.
• Configure and link various data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Utilize variables and queries to develop dynamic dashboards.
• Configure notifications and alerts via Grafana.
• Install and manage plugins to expand Grafana’s functionality.

This live, instructor-led training delivered in Berlin (either online or on-site) is designed for intermediate-level data professionals seeking to apply time series forecasting techniques to real-world data using Google Colab.

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

• Comprehend the basics of time series analysis.
• Utilize Google Colab for handling time series data.
• Use ARIMA models to predict data trends.
• Apply Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting outcomes.

This instructor-led, live training is conducted in Berlin (either online or onsite) and is specifically designed for intermediate-level developers and DevOps engineers aiming to instrument their applications for effective custom metric export and monitoring using Prometheus and Grafana.

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

• Recognize the value of custom metrics in enhancing application monitoring.
• Implement instrumentation to export custom metrics for Prometheus.
• Build and fine-tune Grafana dashboards for clear custom metric visualization.
• Apply proven best practices for integrating monitoring strategies into the development lifecycle.

This live, instructor-led training in Berlin (online or on-site) is tailored for senior DevOps and SRE specialists seeking to refine their alerting and automation expertise using Grafana and Prometheus.

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

• Develop and administer advanced alerting rules in Prometheus.
• Link Prometheus Alertmanager with external applications using webhooks.
• Accelerate problem resolution by automating alert handling.
• Effectively monitor and manage alerts through Grafana visualizations.

Participants completing this instructor-led live training in Berlin will acquire a practical, real-world perspective on Big Data, encompassing its related technologies, methodologies, and tools.

Learners will have the chance to apply their knowledge through hands-on exercises. Group collaboration and instructor feedback are key elements of the learning experience.

The course begins by introducing fundamental Big Data concepts, then advances to the programming languages and methodologies essential for Data Analysis. It concludes by exploring the tools and infrastructure necessary for Big Data storage, Distributed Processing, and Scalability.

This live, instructor-led training, offered in Berlin (either online or onsite), is designed for data engineers, analysts, and scientists at the introductory level who aim to learn how to utilize dbt Cloud for managing data warehousing and transformation tasks in the cloud.

By the conclusion of this session, learners will be able to:

• Initiate and oversee projects on dbt Cloud.
• Employ the dbt Cloud interface to plan and execute data transformations.
• Collaborate effectively with team members on shared projects.
• Deploy dbt projects to production settings.
• Perform debugging and troubleshooting on dbt projects.

This live, instructor-led training in Berlin (online or on-site) is tailored for intermediate-level cloud and DevOps engineers aiming to improve cloud observability through Grafana and Prometheus.

By the conclusion of the program, attendees will be capable of:

• Appreciating the merits of integrating Grafana and Prometheus with cloud platforms.
• Deploying Prometheus for the supervision of cloud-based resources.
• Configuring Grafana to render visual insights into cloud service metrics.
• Applying cloud-native tools and integrations to enhance monitoring scalability.

This live, instructor-led training, delivered either online or on-site, is designed for GIS professionals and analysts of all skill levels, from beginner to advanced, who seek to leverage ArcGIS effectively for data visualization, spatial analysis, and managing geospatial projects.

Upon completing this training, participants will be capable of:

• Managing geospatial data by navigating ArcGIS tools.
• Creating and customizing maps utilizing layers and attributes.
• Executing advanced spatial analysis and geoprocessing tasks.
• Automating workflows through ModelBuilder and Python.

This instructor-led, live training session, conducted in Berlin (either online or on-site), is tailored for intermediate-level DevOps and SRE professionals aiming to build impactful dashboards and enhance their monitoring strategies with Grafana and Prometheus.

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

• Grasp best practices for designing high-performance dashboards.
• Develop and configure advanced Grafana dashboard elements.
• Apply Grafana templating to create dynamic and reusable dashboards.
• Establish alerting frameworks to improve operational situational awareness.

This live, instructor-led training, delivered in Berlin (either online or onsite), is designed for advanced GIS professionals. The program focuses on enhancing spatial analysis capabilities, conducting thorough geostatistical evaluations, and applying advanced 3D modeling techniques to facilitate effective decision-making and problem-solving in practical settings.

By the conclusion of the course, 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.

Tailored for beginner to intermediate-level data analysts and business professionals, this instructor-led live training (online or onsite) focuses on utilizing Google Gemini AI to perform complex data analysis tasks with greater intuition across various sectors in Berlin.

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

• Mastering the fundamental principles of Google Gemini AI.
• Linking multiple data sources to Gemini AI.
• Exploring data sets via natural language queries.
• Analyzing patterns and extracting actionable insights from data.
• Crafting persuasive data visualizations.
• Clearly and effectively communicating data-driven findings.

This live, instructor-guided training, conducted in Berlin (either online or on-site), is tailored for junior system administrators and DevOps engineers looking to strengthen their monitoring capabilities using Grafana and Prometheus.

By the conclusion of this session, learners will have the ability to:

• Appreciate the critical role of monitoring in IT settings.
• Install and set up Grafana and Prometheus for standard monitoring operations.
• Develop basic dashboards and alerts to present system performance data.
• Follow established best practices for ensuring system reliability and efficiency.

This live, instructor-led training, available Berlin online or onsite, is tailored for data analysts and those keen on learning to integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Execute data analysis with Python, R, and SQL.
• Derive insights through Tableau data visualization.
• Inform business operations with data-driven decisions.

This instructor-led, live training in Berlin (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 live, instructor-led session in Berlin (delivered online or onsite) is tailored for beginner-level IT experts and DevOps practitioners seeking to master the fundamentals of Grafana and Prometheus.

Following this training, participants will be equipped to:

• Understand the role and core features of Grafana and Prometheus.
• Install and set up Grafana and Prometheus on a Linux platform.
• Define basic data sources and build dashboards in Grafana.
• Monitor system metrics and visualize data through Prometheus.

This live, instructor-led training in Berlin (available online or onsite) targets intermediate-level data engineers seeking to achieve proficiency in utilizing Azure Synapse Analytics for extensive data processing, analytics, and visualization.

Upon completion, 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 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 Berlin (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 session in Berlin, offered both online and onsite, is tailored for beginner-level earth sciences and engineering professionals aiming to leverage Python for geospatial analysis within both ArcGIS and QGIS ecosystems.

By the conclusion of this program, participants will possess the skills to:

• Master Python syntax and control structures for the efficient execution of geospatial tasks.
• Employ Pandas, Numpy, and Matplotlib for comprehensive data analysis and visualization in GIS.
• Process and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial workflows and processes through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to enhance operational efficiency.

The core purpose of this Berlin course is to enable participants to deliver evidence-based answers to key questions:

What has happened?

• Processing and analyzing data
• Generating insightful data visualizations

What will happen?

• Predicting future trends
• Evaluating predictions

What should happen?

• Converting data into informed business decisions
• Optimizing operational processes

This instructor-led live training, offered in Berlin either online or in person, is tailored for intermediate geographers seeking to refine their skills in spatial analysis, data management, and GIS applications.

By the conclusion of this course, participants will possess the ability to:

• Deploy advanced spatial analysis techniques to resolve complex geographical issues.
• Administer large-scale spatial databases while maintaining high data quality standards.
• Produce dynamic, interactive maps and visualizations for a range of use cases.
• Apply programming and automation to improve the efficiency of GIS processes.

This instructor-led live training, conducted in Berlin (either online or on-site), is tailored for intermediate-level data analysts looking to master the advanced features and components of Grafana for sophisticated data visualization and analysis.

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

• Acquire a deep understanding of advanced Grafana concepts and structural components.
• Utilize template variables and dynamic dashboards to enhance data visualization strategies.
• Execute complex queries leveraging the Grafana Query Language.
• Implement best practices for scaling Grafana, optimizing performance, and ensuring high availability.

An applied training in Berlin that enables insurance professionals to harness AI, data, and InsurTech trends to modernize operations and customer engagement. Through workshops, case studies, and practical exercises, participants will develop digital strategies suited to a rapidly evolving industry.

This live, instructor-led training in Berlin dives into practical Requirements Engineering concepts, elicitation strategies, and documentation approaches. It offers robust exam preparation to assist participants in mastering the IREB CPRE syllabus and successfully obtaining the Foundation Level certification.

This instructor-led, live session in Berlin (online or in-person) is tailored for intermediate Python developers and data analysts seeking to deepen their expertise in data analysis and manipulation through the use of Pandas and NumPy.

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

• Establish a development environment featuring Python, Pandas, and NumPy.
• Build data analysis applications with Pandas and NumPy.
• Carry out advanced data wrangling, sorting, and filtering processes.
• Execute aggregate operations and analyze time-series data.
• Visualize data using Matplotlib and additional visualization tools.
• Debug and enhance the performance of their data analysis code.

This instructor-led, live training in Berlin (online or onsite) is designed for developers and administrators aiming to utilize OpenSearch for distributed search and data analytics in a cohesive, secure environment.

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

• Configuring the development environment to build search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understanding the three methods (snapshot, restart, and rolling) for migrating from Elasticsearch OSS to OpenSearch.
• Learning to index data, create data streams, execute queries, and optimize cross-cluster workflows in OpenSearch.
• Deploying plugins, APIs, clients, and ingestion tools (like Beats, Logstash, and Grafana) to refine search performance while ensuring cluster security.
• Employing OpenSearch Dashboards to consolidate data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Berlin (online or onsite) is designed for individuals who want to learn just enough Python to start analyzing figures from sales data, traffic analytics, customer interactions, and other similar sources.

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 analysis.
• Perform simple statistical analyses.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insights from data, including trends in performance and problematic areas.

This live, instructor-led session in Berlin (available online or onsite) is designed for business analysts eager to develop advanced Spotfire Analyst skills for data analysis.

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

• Sharing visualizations with different team members.
• Securing software access via roles and access controls.
• Generating visualizations like map charts.
• Integrating statistical computing languages, such as R, with Spotfire.

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

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

• Present spatial data through visual formats.
• Apply geostatistical methods to actual data.
• Carry out spatial data analysis, processing, and mapping tasks in ArcGIS.
• Interpret spatial data for various projects within ArcGIS.

This live, instructor-led training in Berlin (available online or on-site) is tailored for data scientists, analysts, and business professionals seeking to master effective data cleaning and processing techniques.

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

• Developing a comprehensive data cleaning strategy.
• Leveraging essential tools for data cleansing.
• Achieving results with greater operational efficiency.
• Applying best practices for data cleaning.

In the dynamic energy sector, combining electrical transient analysis with precise geographic data is now a strategic requirement. Reliance on fragmented data sources currently poses significant operational risks. This intensive 14-day program in Melbourne is structured to close the divide between electrical engineering practices and geospatial management strategies.

Delivered by an instructor, this live training—available either onsite or remotely in Berlin—is tailored for data analysts looking to leverage Grafana for data monitoring and visualization.

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

• Prepare the necessary development environment for creating visualizations in Grafana.
• Implement high availability settings for Grafana.
• Personalize panels and dashboards to present data effectively.
• Set up a reverse proxy to enhance loading performance.

The "KNIME Analytics Platform" training provides a comprehensive overview of this free data analysis platform. The program 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 discusses 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 includes a discussion on reporting and integration with BIRT and the KNIME WebPortal.

This live, instructor-led training session in Berlin (available online or on-site) is tailored for data scientists aiming to integrate Python and R programming within KNIME.

By the end of this training, participants will have the capability to:

• Design, build, and deploy machine learning models using KNIME.
• Utilize data-driven insights to guide operational decisions.
• Manage and execute end-to-end data science projects.

As your participants prepare for postgraduate Data Analytics studies abroad, they must tackle two key challenges: mastering technical coding and learning to convert data into business insights. This intensive 5.5-hour program is structured to close both gaps concurrently. By pairing Python technical basics with a beginner-friendly business analytics framework, we empower your team to enter their academic journey as leaders, not merely learners.

Delivered by an experienced instructor, this live training session in Berlin (available either online or on-site) is designed for professionals looking to master the art of gathering and analyzing requirements. It focuses on applying rigorous analysis techniques to ensure that projects are defined with both efficiency and precision.

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

• recognize and distinguish between various categories of requirements.
• grasp the core concepts and key activities that constitute the requirements analysis lifecycle.
• gain a thorough understanding of established requirements analysis methodologies.
• leverage a diverse range of analysis techniques to drive better outcomes.
• organize and structure requirements effectively, enabling seamless communication with architects and developers through an iterative discovery process.

This live, instructor-led session (conducted online or onsite) in Berlin is tailored for business and data analysts looking to utilize TIBCO Spotfire X’s artificial intelligence capabilities to visualize, transform, and interpret data.

By the end of the program, learners will be capable of:

• Installing and setting up TIBCO Spotfire X.
• Comprehending the features and architecture of TIBCO Spotfire X.
• Understanding the principles of augmented and predictive analytics.
• Loading, processing, and visualizing data using Spotfire X.
• Building interactive and advanced data visualizations.

This instructor-led, live training in Berlin (online or onsite) is designed for business professionals who want to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and adhere to 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.