Data Analysis Training in Nicosia

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualizations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards with variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Nicosia (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 Nicosia (online or onsite) is designed for intermediate-level data scientists and engineers seeking to apply Google Colab and Apache Spark to big data processing and analytics.

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

• Establish a big data environment using Google Colab and Spark.
• Process and analyse large datasets efficiently with Apache Spark.
• Visualise big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led live training in Nicosia (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who wish to effectively utilize 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.

Stratio offers a comprehensive, data-centric platform that unifies big data capabilities, artificial intelligence, and governance into a single, cohesive solution. Its Rocket and Intelligence modules empower organizations to perform rapid data exploration, transformation, and advanced analytics within enterprise-grade environments.

This instructor-led live training, available online or on-site, is designed for intermediate-level data professionals seeking to harness the full potential of Stratio’s Rocket and Intelligence modules using PySpark. The curriculum emphasizes looping structures, user-defined functions, and sophisticated data logic to enhance workflow efficiency.

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

• Navigate and effectively utilize the Stratio platform, specifically the Rocket and Intelligence modules.
• Apply PySpark techniques for data ingestion, transformation, and analysis within the Stratio ecosystem.
• Implement loops and conditional logic to manage data workflows and execute feature engineering tasks.
• Develop and manage User-Defined Functions (UDFs) to enable reusable data operations in PySpark.

Course Format

• Interactive lectures paired with group discussions.
• Extensive hands-on exercises and practical practice sessions.
• Real-world implementation through a live-lab environment.

Customization Options

• For tailored training solutions, please reach out to us to discuss your specific requirements.

Data-informed decision-making involves incorporating relevant data, evidence, and analytical insights into the decision-making process to enhance outcomes and accountability within the public sector.

This instructor-led training session, available online or onsite, is designed for public sector professionals who are either new to or developing their skills in using data for decision-making. It targets individuals who design, evaluate, or manage government programs and aim to improve their ability to interpret, validate, and apply data to practical decisions.

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

• Grasp the concept of being data-informed compared to being data-driven or relying solely on intuition.
• Identify and evaluate data pertinent to specific policy or service environments.
• Formulate more effective questions for data analysts and skillfully interpret dashboards and reports.
• Utilize data to justify, refine, or defend decisions in public service settings.

Course Format

• Interactive lectures and discussions.
• Practical application through decision scenarios, data sets, and simulated policy briefs.
• Guided exercises centered on real-world decision-making applications.

Customization Options

• For personalized training tailored to your department's workflows or internal tools, please contact us to make arrangements.

This instructor-led, live training in Nicosia (online or onsite) is designed for intermediate data professionals who want to apply time series forecasting techniques to real-world data using Google Colab.

By the conclusion 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 Nicosia (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 encompasses the capability to comprehend and utilize digital tools, data, and systems to facilitate informed decision-making within the realms of public service delivery and governance.

This instructor-led, live training, available either online or on-site, targets public sector professionals who possess limited or nascent experience in digital intelligence. It is designed for those who engage with data, digital tools, or service performance metrics and aim to enhance their capacity to analyze, interpret, and apply information for improved decision-making.

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

• Grasp the foundational concepts of digital intelligence and their relevance to public sector operations.
• Employ digital tools to gather, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a strategic roadmap to bolster digital capacity and data-driven practices.

Format of the Course

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

Course Customization Options

• To arrange a customized version of this training tailored to your department’s workflows or internal tools, please contact us.

Data storytelling involves leveraging visual and narrative methods to convert intricate datasets into clear, engaging stories that drive understanding and inspire action.

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

Upon completing this training, participants will be able to:

• Convert raw data into impactful visual stories.
• Select appropriate charts and layouts 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.
• Practical application of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

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

This instructor-led live training in Greece (online or onsite) targets advanced DevOps and SRE professionals aiming 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 Nicosia will gain a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.

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

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

ArcGIS Professional Plus represents the advanced tier of the ArcGIS Pro suite, providing expanded capabilities for geospatial data analysis, 3D modeling, process automation, and enterprise-level collaboration.

This instructor-led live training, available either online or onsite, is designed for intermediate GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and sharing through the use of ArcGIS Professional Plus tools.

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

• Utilize ArcGIS Pro Plus tools to enhance data visualization and analytical outcomes.
• Develop sophisticated 2D and 3D maps employing advanced symbology and geoprocessing methods.
• Streamline workflows through ModelBuilder and Python scripting.
• Seamlessly integrate ArcGIS with external data services and enterprise systems.

Course Format

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

Customization Options

• For tailored training needs, please contact us to arrange a customized session.

This instructor-led, live training in Nicosia (online or onsite) is designed for beginner-level data engineers, analysts, and scientists who wish to understand how to utilize 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 Nicosia (online or onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

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

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led, live training in Nicosia (online or onsite) targets GIS professionals and analysts from beginner to advanced levels who aim to learn how to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and leverage ArcGIS tools for geospatial data management.
• Design and tailor maps using layers and attributes.
• Execute advanced spatial analysis and geoprocessing operations.
• Streamline workflows through ModelBuilder and Python.

This instructor-led live training in Nicosia (online or onsite) is designed for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring workflows using Grafana and Prometheus.

By the end of this training, 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 Nicosia (online or onsite) is aimed at 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 Greece (online or onsite) is designed for data analysts and business professionals at beginner to intermediate levels who wish to execute complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

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

This instructor-led, live training in Nicosia (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.
• Generate insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Nicosia (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 instructor-led live training in Nicosia (online or on-site) targets beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.

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

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Nicosia (online or on-site) is directed at intermediate-level data engineers who aim to gain proficiency in utilizing Azure Synapse Analytics for a broad spectrum of data processing, analytics, and visualization tasks.

By the conclusion 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 Nicosia (online or onsite) is designed for beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

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

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

This instructor-led live training in Nicosia (online or onsite) is designed for beginner-level professionals in earth sciences and engineering who wish to apply Python for geospatial analysis in ArcGIS and QGIS environments.

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

• Acquire Python syntax and control structures to execute geospatial tasks efficiently.
• Utilize Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows via 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 the use of sophisticated techniques and tools to analyse large, complex datasets, yielding actionable insights and supporting strategic decision-making.

This instructor-led live training, available online or on-site, is designed for advanced-level data professionals who wish to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

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

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

Format of the Course

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

Course Customization Options

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

The aim of the course in Nicosia 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, available in Nicosia (online or onsite), is designed for intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

This instructor-led live training in Nicosia (online or onsite) is designed for intermediate-level data analysts looking to master and apply Grafana's advanced features and components for data visualization and analysis.

Upon completing this training, participants will be able to:

• Acquire a deep understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to enhance data visualization.
• Employ Grafana Query Language for executing complex queries.
• Master best practices for scaling Grafana, optimizing performance, and ensuring high availability.

Insurance in the Digital Era offers a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led live training, available either online or onsite, targets intermediate-level insurance professionals seeking to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.

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) plays a pivotal role in software and systems development, concentrating 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 capable of:

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

Course Format

• Interactive lectures and discussions.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Customization Options

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

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

Target Audience

Developers and Data Analysts

Duration

3 days

Format

Instructional lectures combined with practical, hands-on exercises

Data analytics is an essential instrument for modern business. Throughout this course, we will concentrate on cultivating practical, hands-on data analysis skills. Our objective is to empower participants to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

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

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

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

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

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

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

This course is designed to provide a comprehensive understanding of SQL usage across various databases (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 enhances efficiency but also supports the development of IT systems utilising relational databases.

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

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 Nicosia (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

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

This instructor-led, live training in Nicosia (online or onsite) is tailored for 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.

In the rapidly changing energy industry, combining electrical transient analysis with accurate geographic information has become a strategic imperative. Relying on disconnected data sources currently creates substantial operational risks. This intensive 14-day program in Melbourne is specifically designed to connect electrical engineering principles with geospatial management techniques.

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

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

• Establish the required development environment to begin creating visualizations in Grafana.
• Configure Grafana for high availability.
• Customize panels and dashboards using various data sets.
• Set up a reverse proxy to ensure optimal loading performance.

KNIME Analytics Platform stands as a premier open-source solution for driving data-based innovation, enabling you to uncover hidden potential within your data, extract new insights, or forecast future trends. Boasting over 1,000 modules, numerous ready-to-run examples, a broad suite of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for data scientists and business analysts alike.

This course offers an excellent entry point for beginners, advanced users, and KNIME experts to familiarize themselves with KNIME, enhance their proficiency, and learn to generate clear, comprehensive reports using KNIME workflows.

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

It is specifically tailored for participants without programming experience who wish to utilize cutting-edge tools to implement analytics 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.

Format of the Course

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

Course Customization Options

• For requests regarding customized training for this course or to learn more about the program, please contact us to arrange.

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, import and export of workflows, tool integration, ETL processes, data mining, visualization, extensions, and integrations 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 Nicosia (online or on-site) is aimed at data scientists who wish to program in Python and R for KNIME.

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

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

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

A Geographic Information System (GIS) is a framework engineered to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic field dedicated to the study of geographic information systems, which constitutes a significant area within the broader discipline of geoinformatics.

QGIS operates as a Geographic Information System (GIS) application, enabling users to analyze and edit spatial data, as well as design and export graphical maps. It supports both raster and vector layers; vector data is stored in the form of points, lines, or polygons. The software accommodates various raster image formats and offers georeferencing capabilities. In essence, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, macOS, Linux, and BSD platforms.

In its initial phase, this program introduces the QGIS interface for general application. During the second phase, we delve into PyQGIS—the Python libraries of QGIS—which facilitates the integration of GIS functionalities into your Python code or applications, potentially allowing you to develop custom Python plugins around specific GIS features.

This instructor-led, live training in Nicosia (online or in-person) is aimed at individuals who wish to understand requirements analysis and to conduct it efficiently and accurately using analysis techniques for their projects.

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

• Identify different types of requirements.
• Understand the overall concepts and activities within requirements analysis.
• Be familiar with the requirements analysis methodology.
• Use different requirements analysis techniques to their advantage.
• Structure requirements to communicate efficiently with architects and developers via an iterative requirement gathering process.

This instructor-led live training in Nicosia (online or onsite) is designed for business analysts and data analysts who wish to utilize the AI capabilities of TIBCO Spotfire X 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 Nicosia (available online or on-site) is designed for business professionals who wish to utilize 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 narratives, and deliver clearer executive presentations.