Data Analysis Training in Bratislava

This instructor-led live training in Bratislava (online or onsite) is intended for intermediate-level data scientists and engineers who aim to utilize Google Colab and Apache Spark for big data processing and analytics.

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

• Configure 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.

Stratio is a data-centric platform that seamlessly integrates big data, artificial intelligence, and governance into a unified solution. Its Rocket and Intelligence modules empower organizations to conduct rapid data exploration, transformation, and advanced analytics within enterprise settings.

This instructor-led live training (available online or on-site) targets intermediate-level data professionals who want to leverage the Rocket and Intelligence modules in Stratio effectively using PySpark. The focus is on mastering looping structures, user-defined functions, and implementing advanced data logic.

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

• Navigate and operate within the Stratio platform using its Rocket and Intelligence modules.
• Apply PySpark for data ingestion, transformation, and analysis tasks.
• Utilize loops and conditional logic to manage data workflows and execute feature engineering.
• Develop and manage user-defined functions (UDFs) to enable reusable data operations in PySpark.

Course Format

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

Course Customization Options

• For customized training requirements for this course, please contact us to arrange your schedule.

Data-informed decision-making involves the systematic integration of relevant data, empirical evidence, and analytical insights 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 who possess limited or emerging experience in using data for decision-making. It targets those who design, evaluate, or manage government programs and wish to strengthen their capacity to interpret, validate, and apply data to real-world challenges.

Upon completing this training, participants will be able to:

• Comprehend the concept of being data-informed as distinct from being data-driven or relying on intuition.
• Identify and evaluate data relevant to specific policy or service contexts.
• Formulate more effective questions for data analysts and interpret dashboards and reports with greater proficiency.
• Apply data evidence to justify, refine, or defend decisions within public service environments.

Course Format

• Interactive lectures and discussions.
• Practical application involving decision scenarios, data sets, and mock policy briefs.
• Guided exercises centered on practical decision-making use cases.

Customization Options

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

This instructor-led, live training in Bratislava (online or onsite) is designed for 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 Bratislava (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 refers to the capability of comprehending and utilizing digital tools, data, and systems to make well-informed decisions within the realms of public service delivery and governance.

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

Upon completing this training, participants will be able to:

• Grasp the fundamentals of digital intelligence and its application to public sector work.
• Leverage digital tools to collect, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their own team or department.
• Develop a roadmap for improving digital capacity and data-driven practices.

Course Format

• Interactive lectures and discussions.
• Hands-on practice with digital tools and dashboard mockups.
• Guided exercises centered on real-world public service use cases.

Customization Options

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

Data storytelling involves leveraging visual and narrative strategies to convert intricate datasets into clear, engaging narratives that inform and motivate action.

This instructor-led live training (available online or on-site) targets public sector professionals who handle data but have limited or informal training in data storytelling, aiming 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:

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

Course Format

• Interactive lectures and discussions.
• Hands-on application of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request 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 Bratislava (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.

Upon completion of this instructor-led, live training in Bratislava, participants will acquire a practical, real-world understanding of Big Data, including its associated technologies, methodologies, and tools.

Participants will have the opportunity to apply this knowledge through hands-on exercises. Group interaction and instructor feedback constitute an important component of the class.

The course begins with an introduction to the fundamental concepts of Big Data, then progresses to 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.

ArcGIS Professional Plus represents the advanced tier of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and collaborative enterprise workflows.

This instructor-led live training (available online or onsite) targets intermediate GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus tools.

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

• Utilizing ArcGIS Pro Plus tools for effective data visualization and analysis.
• Developing 2D and 3D maps utilizing advanced symbology and geoprocessing techniques.
• Automating workflows through ModelBuilder and Python scripting.
• Integrating ArcGIS with external data services and enterprise systems.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led, live training in Bratislava (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 Bratislava (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led live training in Bratislava (online or onsite) is targeted at data engineers and analysts who aim to gain beginner to intermediate-level skills in using AWS Glue to build a data pipeline.

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

• Understand the fundamentals of AWS Glue.
• Set up an AWS Glue pipeline.
• Set up AWS Glue crawlers and jobs.
• Learn how to use AWS Glue transformations.

This instructor-led live training in Bratislava (online or onsite) is designed for intermediate-level DevOps and SRE professionals who want 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 in Bratislava (online or onsite) is designed for advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective 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 Bratislava (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 various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and extract insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Bratislava (online or onsite) is designed for data analysts and professionals interested in learning how to utilize and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization in Tableau.
• Drive business operations with data-informed decisions.

This instructor-led live training, offered Bratislava (online or onsite), targets beginner-level IT support personnel seeking to deliver robust support for ArcGIS Enterprise, with a focus on effectively resolving anomalies and failures.

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

• Understand the architecture and core components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This instructor-led live training in Bratislava (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database.

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

• Learn how to analyze data using IBM Planning Analytics.
• Create custom views of the data in a database.
• Build reports and forms that communicate with TM1.

This instructor-led, live training in Bratislava (online or onsite) targets intermediate-level data engineers aiming to become proficient in leveraging Azure Synapse Analytics for a broad range of data processing, analytics, and visualization tasks.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Provision, 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 Bratislava (online or on-site) is tailored for intermediate-level database administrators, SQL developers, and data analysts who aim to upgrade their SQL skills by mastering the use of Analytic Functions.

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

• Grasp the concept and significance of Analytic Functions.
• Utilize various Analytic Functions to address complex analytical challenges.
• Integrate Analytic Functions with other SQL features to conduct comprehensive data analysis.
• Enhance query performance by leveraging Analytic Functions.

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

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

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

This instructor-led, live training in Bratislava (online or onsite) is tailored for data analysts and data scientists who want to utilize the MongoDB Aggregation Framework to conduct data analysis while simplifying complex operations and aggregation pipelines.

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

• Install and configure MongoDB for data analysis.
• Understand the concepts and stages of the MongoDB Aggregation Framework.
• Learn about the basic structure, syntax, and operations for aggregation.
• Learn how to handle advanced operations in aggregation.
• Apply some optimization tools and techniques to improve aggregation performance.

This instructor-led, live training in Bratislava (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.

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to examine large, complex datasets, thereby generating actionable insights and supporting strategic decision-making.

This instructor-led live training, available online or onsite, is designed for advanced data professionals looking to utilize cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

Upon completing this training, participants will be capable of:

• Designing and implementing large-scale data processing pipelines for both structured and unstructured data.
• Applying advanced machine learning and deep learning techniques to massive datasets.
• Utilizing distributed computing frameworks for real-time analytics and data streaming.
• Integrating big data analytics into business intelligence and decision-making systems.

Course Format

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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 Bratislava (online or onsite) is designed for geographers at an intermediate level who seek to enhance their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to resolve complex geographical issues.
• Manage large-scale spatial databases and perform data quality control.
• Develop dynamic and interactive maps and visualizations for various applications.
• Use programming and automation to streamline GIS workflows.

Insurance in the Digital Era provides an applied overview of how digital transformation reshapes products, operations, and customer engagement in the insurance industry.

This instructor-led, live training (online or onsite) is aimed at intermediate-level insurance professionals who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize insurance offerings and operations.

By the end 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 how they affect 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 pivotal discipline in software and systems development, centered on identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

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

After completing this training, participants will be able to:

• Comprehend and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be 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.

This instructor-led, live training in Bratislava (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities.

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

• Understand the fundamentals of data mining.
• Learn how to import and assess data quality with the Modeler.
• Develop, deploy, and evaluate data models efficiently.

R is a widely adopted, open-source platform for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering foundational language features, essential libraries, and advanced concepts. Participants will explore advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lecture-based instruction combined with hands-on exercises

Data analytics plays a vital role in modern business. This course focuses on developing practical, hands-on data analysis skills. The primary goal is to equip participants with the ability 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 Bratislava (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 Bratislava (online or onsite) is designed for developers and administrators who wish to utilize OpenSearch for 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 Bratislava (online or onsite) is aimed at individuals who wish to learn enough Python to begin analyzing data from sales, traffic analytics, customer interactions, and more.

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 basic statistical analysis.
• Generate reports that present data in the appropriate format, from raw numbers to data visualizations.
• Gain valuable insights from data, including performance trends and problematic areas.

This instructor-led, live training (available online or onsite) is designed for software developers, managers, and business analysts who aim to leverage big data systems to store and retrieve vast amounts of information.

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

• Efficiently query large datasets.
• Understand how big data systems store and retrieve information.
• Utilize the latest big data systems available.
• Process data from various data systems into reporting tools.
• Learn to write SQL queries in:
  • MySQL
  • PostgreSQL
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Format of the Course

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

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This course is designed to deliver a comprehensive understanding of SQL usage across various database platforms (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis tasks from MS Excel directly to the database layer. This approach not only streamlines analytical workflows but also supports the development of IT systems leveraging relational databases.

This instructor-led live training in Bratislava (online or onsite) is designed for business analysts who wish 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 Bratislava (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.

Data Analysis for Business Professionals is a practical, hands-on training designed to empower participants to work confidently with business data, extract meaningful insights, and support superior decision-making. This instructor-led, live training (available online or onsite) is tailored for beginner-to-intermediate-level business professionals who want to leverage modern analytical techniques and tools to interpret data, identify trends, and communicate insights effectively.

This instructor-led live training in Bratislava (offered online or onsite) is tailored for data scientists, data analysts, and business analysts who aim 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.

In the dynamic energy sector, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Relying on disjointed data currently poses significant operational risks. This intensive 14-day program in Melbourne is crafted to bridge the gap between electrical engineering and geospatial management.

The KNIME Analytics Platform stands as a premier open-source solution for data-driven innovation. It empowers you to uncover hidden potential within your data, extract fresh insights, or predict future trends. Boasting over 1,000 modules, hundreds of ready-to-run examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, the KNIME Analytics Platform serves as the ideal toolkit for every data scientist and business analyst.

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 to utilize it more effectively, and master the creation of 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.

The course targets participants who may not have a programming background but intend to use cutting-edge tools to implement analytical scenarios.

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

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

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program covers data processing and analysis introduction, KNIME installation and configuration, workflow building, 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 mining, visualization, extensions, and integration with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion covers reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training in Bratislava (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.

This instructor-led live training in Bratislava (online or onsite) is designed for data analysts who wish to use LibreOffice Calc to perform a variety of data analyses (from basic to advanced), leveraging functionalities similar to those found in Excel and other spreadsheet software.

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

• Install the LibreOffice suite on any operating system.
• Understand the full features and functionalities available in LibreOffice Calc.
• Learn how to clean, validate, manipulate, and visualize data in Calc.
• Apply the various functions and tools in Calc to perform complex data analysis.
• Gain some tips and insights on conducting advanced data analysis.

As participants prepare for advanced Data Analytics degrees overseas, they encounter a dual challenge: mastering technical coding skills and learning how to translate data into tangible business value. This intensive 5.5-hour program is designed to address both challenges simultaneously. By integrating Python technical fundamentals with an introductory business analytics framework, we ensure your team begins their academic journey as leaders rather than 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 in Bratislava (online or onsite) is designed for professionals seeking to understand requirements analysis and execute it efficiently and accurately using appropriate analysis techniques for their projects.

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

• Differentiating between various types of requirements.
• Comprehending the core concepts and activities associated with requirements analysis.
• Gaining familiarity with established requirements analysis methodologies.
• Leveraging diverse requirements analysis techniques for optimal results.
• Organizing requirements to facilitate efficient communication with architects and developers through an iterative gathering process.

This instructor-led live training in Bratislava (online or on-site) is designed for business and data analysts who want to utilize TIBCO Spotfire X's 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 Bratislava (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, enhance slide design, strengthen visual narratives, and deliver clearer executive presentations.