Data Analytics Training in Prague

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level Grafana users who wish to build interactive, drill-down dashboards featuring 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 Prague (online or onsite) targets intermediate-level data scientists and engineers who wish to employ Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

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

• Understand the difference between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

This instructor-led live training in Prague (online or onsite) is designed for intermediate-level data professionals who want 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 basics 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 Prague (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.

This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

Participants who complete this instructor-led, live training in Prague will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

This instructor-led, live training in Prague (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand 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 Prague (online or in-person) targets beginner to advanced GIS professionals and analysts who aim 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 Prague (available online or onsite) is designed for intermediate-level DevOps and SRE professionals who want to develop impactful dashboards and enhance their monitoring practices using Grafana and Prometheus.

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

• Apply 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 in Prague (online or onsite) targets advanced GIS professionals who wish to enhance their spatial analysis capabilities with ArcGIS Pro. Participants will conduct comprehensive geostatistical analysis and apply advanced 3D modeling techniques to improve decision-making and problem-solving in practical scenarios.

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

• Demonstrate advanced proficiency in spatial analysis techniques within ArcGIS Pro.
• Employ Python scripting for automation and complex data processing.
• Implement spatial modeling to address real-world challenges.
• Perform geostatistical analysis for in-depth data interpretation.
• Integrate external data sources and utilize 3D spatial data analysis.

This instructor-led, live training in Prague (online or on-site) targets beginner to intermediate data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Google Gemini AI.
• Connect diverse data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and extract insights.
• Create engaging data visualizations.
• Effectively communicate data-driven insights.

This instructor-led live training in Prague (online or onsite) is designed for 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:

• Conduct data analysis using Python, R, and SQL.
• Derive insights through data visualization with Tableau.
• Make data-driven decisions to enhance business operations.

This instructor-led, live training in Prague (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 guided, live training session in Prague (online or in-person) is designed for entry-level IT specialists and DevOps engineers who want to learn the fundamentals of Grafana and Prometheus.

Upon completing this training, participants will be equipped to:

• Grasp the objectives and core capabilities of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux system.
• Establish fundamental data sources and dashboards in Grafana.
• Track system metrics and visualize information using Prometheus.

This instructor-led, live training in Prague (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 Prague (online or onsite) is designed for beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

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

• Grasp the core principles of GIS and spatial data.
• Navigate the ArcGIS interface with confidence.
• Create and manage spatial data effectively.
• Conduct basic spatial analysis.
• Design maps and visualizations.

This instructor-led, live training in Prague (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.

The aim of the course 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 Prague (online or on-site) is designed for geographers at an intermediate level who aim to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Employ advanced spatial analysis techniques to address complex geographical challenges.
• Manage large-scale spatial databases and conduct data quality control.
• Design dynamic and interactive maps and visualizations for diverse applications.
• Leverage programming and automation to streamline GIS workflows.

This instructor-led, live training in Prague (online or on-site) is designed for intermediate data analysts who wish to learn and apply the advanced features and components of Grafana for data visualization and analysis.

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

• Develop a comprehensive understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to improve data visualization.
• Employ the Grafana Query Language to execute complex queries.
• Adopt best practices for scaling Grafana, optimizing performance, and ensuring high availability.

A practical training in Prague that enables insurance professionals to utilize AI, data, and InsurTech trends to modernize operations and enhance customer engagement. Through workshops, case studies, and practical exercises, participants will develop digital strategies suited for a rapidly changing industry.

This instructor-led live training in Prague focuses on practical Requirements Engineering concepts, elicitation methods, and documentation standards. It offers comprehensive exam preparation to help participants master the IREB CPRE syllabus and successfully pass the Foundation Level certification.

This instructor-led, live training in Prague (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 Prague (online or onsite) is aimed at 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 Prague (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 the right format, from raw numbers to data visualizations.
• Gain valuable insights from data, including performance trends and problematic areas.

This instructor-led live training in Prague (online or on-site) is designed for business analysts who want to learn advanced Spotfire Analyst techniques for data analysis.

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

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

This instructor-led, live training in Prague (online or onsite) is aimed at field ecologists and conservation managers who wish to create spatial data projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatistics 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 Prague (online or onsite) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively.

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

• Develop an effective data cleaning strategy.
• Implement useful tools for data cleaning.
• Get a result more efficiently.
• Learn and apply data cleaning best practices.

This instructor-led live training in Prague (delivered online or on-site) targets intermediate-level managers and specialists aiming to grasp the forces behind digital change in financial services and how to apply them effectively in their own organizations.

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

• Explain the drivers of digital change in the banking and financial services industries.
• Identify where digital channels, lending, and SME banking generate value.
• Understand how Agile practices and product thinking underpin transformation efforts.
• Learn from the outcomes of both successful and unsuccessful transformations.

In the dynamic energy sector, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Currently, depending on disconnected data sources creates substantial operational risks. This 14-day intensive program in Melbourne aims to bridge the gap between electrical engineering principles and geospatial management.

This instructor-led, live training conducted in Prague (onsite or remote) is designed for data analysts who wish to leverage Grafana for monitoring and visualizing their data.

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

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

The 'KNIME Analytics Platform' training offers a comprehensive overview of this free data analysis platform. The program includes an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodology for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The completion section includes reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led, live training in Prague (online or onsite) 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 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 instructor-led, live training in Prague (online or onsite) is designed for individuals who wish to understand requirements analysis and execute it efficiently and accurately by utilizing analysis techniques for their projects.

Upon completing this training, participants will be able to:

• recognize various types of requirements.
• comprehend the overarching concepts and activities involved in requirements analysis.
• gain familiarity with the requirements analysis methodology.
• leverage diverse requirements analysis techniques for optimal results.
• organize requirements to facilitate efficient communication with architects and developers through an iterative requirement gathering process.

Snowflake is a cloud-based data storage platform that provides extensive capabilities for processing and analyzing large datasets. As a Software-as-a-Service (SaaS) solution, it combines the flexibility and scalability of the cloud with the power of an advanced data warehouse. Key features and functions of Snowflake include:

Cloud-Based Architecture: Built natively in the cloud, Snowflake is optimized for flexibility and performance, enabling easy scaling of both data storage and processing resources.

Decoupled Storage and Compute Workloads: Snowflake's unique architecture separates data storage from compute workloads, allowing these two aspects to be scaled and optimized independently.

Support for Diverse Data Types: Snowflake supports the storage and analysis of various data formats, including structured, semi-structured (e.g., JSON, XML), and unstructured data.

High Performance and Query Optimization: The system delivers fast query processing with automatic optimization, enabling efficient execution of complex analyses on large datasets.

Security and Access Management: Snowflake offers robust security features, including data encryption, role-based access control, and comprehensive auditing.

Seamless Integration: The platform integrates effortlessly with popular ETL, BI, and data analysis tools and services, facilitating the creation of comprehensive analytical solutions.

Cost Flexibility and Scalability: A consumption-based pricing model allows for cost optimization by charging only for the resources actually utilized.

Versatility of Applications: Snowflake is suitable for a wide range of use cases, from simple BI analyses to advanced data processing, including big data analytics and machine learning.

Snowflake is a popular choice among organizations of all sizes due to its flexibility, performance, ease of use, and ability to adapt to diverse business and technological needs.

This instructor-led live training in Prague (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Understand the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Prague (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.