Data Analysis Training in Cordoba

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 Cordoba (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 Cordoba (online or onsite) is designed for intermediate-level data scientists and engineers who intend to use 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 live, instructor-led training in Cordoba (available online or on-site) targets intermediate-level system administrators and monitoring professionals seeking to effectively utilize Grafana for deploying monitoring solutions, managing dashboards, and creating alerts.

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

• Distinguish between observability and monitoring.
• Install and configure the Grafana server.
• Configure and link various data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and tailor dashboards and visual charts.
• Utilize variables and queries to build dynamic dashboards.
• Establish notifications and alert mechanisms within Grafana.
• Install and administer plugins to enhance Grafana’s capabilities.

Stratio stands as 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 perform rapid data exploration, transformation, and advanced analytics within enterprise environments.

This instructor-led live training, available both online and onsite, is designed for intermediate-level data professionals aiming to effectively utilize Stratio's Rocket and Intelligence modules with PySpark. The curriculum focuses on mastering looping structures, user-defined functions, and implementing sophisticated data logic.

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

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

Course Format

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

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

Adopting a data-informed approach involves weaving together relevant data, evidence, and analytical insights into the decision-making framework to elevate public sector results and strengthen accountability.

This live, instructor-led training—available both online and onsite—is designed for public sector professionals who have limited or developing experience in utilizing data for decision-making. It targets those who design, assess, or oversee government programs and seek to strengthen their capacity to interpret, validate, and apply data to real-world challenges.

Upon completing this training, participants will be equipped to:

• Grasp the concept of being data-informed, distinguishing it from data-driven or intuition-led approaches.
• Identify and evaluate data pertinent to specific policy or service environments.
• Formulate more effective questions for data analysts and interpret dashboards and reports with greater proficiency.
• Utilize data to justify, refine, or defend decisions within public service settings.

Course Delivery Format

• Engaging lectures combined with group discussions.
• Practical application through decision scenarios, real datasets, and simulated policy briefs.
• Instructor-guided exercises centered on practical decision-making scenarios.

Customization Opportunities

• For tailored training aligned with your department's specific workflows or internal tools, please reach out to us to schedule a session.

This instructor-led, live training in Cordoba (online or onsite) targets intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.

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

• Grasp the core concepts of time series analysis.
• Utilize Google Colab for handling time series data.
• Implement ARIMA models to forecast data trends.
• Leverage Facebook’s Prophet library for adaptable forecasting.
• Visualize time series data and forecast outcomes.

This instructor-led, live training in Cordoba (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 capacity to comprehend and utilize digital tools, data, and systems to support informed decision-making within the realms of public service delivery and governance.

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

Upon completing this training, participants will be able to:

• Grasp the fundamentals of digital intelligence and its application to public sector work.
• Employ 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 fostering data-driven practices.

Course Format

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

Customization Options

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

Storytelling with Data involves employing visual and narrative strategies to convert complex datasets into clear, compelling narratives that inform and inspire action.

This instructor-led, live training (available online or onsite) targets public sector professionals who work with data but have limited or informal training in data storytelling, aiming to enhance their ability to present data clearly and persuasively through narrative and visuals.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request a 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 Cordoba (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.

By completing this instructor-led, live training in Cordoba, participants will develop a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.

Attendees will have the chance to apply their newfound knowledge through hands-on exercises. Collaborative group interactions and direct feedback from the instructor are key components of the learning experience.

The course begins by introducing fundamental concepts of Big Data, then advances to the programming languages and methodologies essential for Data Analysis. Finally, the curriculum covers the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.

ArcGIS Professional Plus serves as an enhanced iteration of ArcGIS Pro, delivering extended 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-level GIS professionals seeking to advance their expertise in spatial data analysis, automation, and data sharing through ArcGIS Professional Plus tools.

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

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

Course Format

• Engaging interactive lectures and discussions.
• Numerous practical exercises and hands-on practice.
• Real-time implementation within a live laboratory environment.

Customization Options

• For requests regarding customized training for this course, please reach out to us to coordinate arrangements.

This instructor-led, live training in Cordoba (online or onsite) is designed for beginner-level data engineers, analysts, and scientists who want to understand how to use dbt Cloud to manage their cloud-based data warehousing and transformation projects.

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

• Create and manage projects on dbt Cloud.
• Utilize the dbt Cloud interface to schedule and execute 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 Cordoba (online or onsite) is designed for 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 Cordoba (online or onsite) targets GIS professionals and analysts at beginner to advanced levels who seek to learn effective ArcGIS usage for data visualization, spatial analysis, and geospatial project management.

By the conclusion 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 Cordoba (online or onsite) is aimed at intermediate-level DevOps and SRE professionals who wish 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 Cordoba (online or onsite) is designed for advanced-level GIS professionals aiming to leverage ArcGIS Pro to improve their spatial analysis capabilities, perform comprehensive geostatistical analysis, and apply sophisticated 3D modeling techniques to facilitate more effective decision-making and problem-solving in practical scenarios.

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

• Developing advanced proficiency in spatial analysis techniques using ArcGIS Pro.
• Employing Python scripting to automate tasks and process complex data.
• Applying spatial modeling to address real-world challenges.
• Performing geostatistical analysis for advanced data interpretation.
• Integrating external data sources and utilizing 3D spatial data analysis.

This instructor-led, live training in Cordoba (online or onsite) targets data analysts and business professionals at beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across different industries using Google Gemini AI.

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

• Grasping the core principles of Google Gemini AI.
• Linking diverse data sources to Gemini AI.
• Exploring data through natural language queries.
• Analyzing data patterns and extracting valuable insights.
• Designing engaging data visualizations.
• Effectively communicating data-driven insights.

This instructor-led live training in Cordoba (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.

Upon completing 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-based decisions.

This live, instructor-led training session Cordoba (online or in-person) is tailored for beginner-level IT support personnel seeking to provide comprehensive support for ArcGIS Enterprise, effectively addressing system anomalies and failures.

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 Cordoba (online or onsite) is aimed at 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 Cordoba (online or onsite) is designed for intermediate-level data engineers who aim to become proficient in utilizing Azure Synapse Analytics for a broad spectrum 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.
• 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 Cordoba (online or onsite) is designed for beginner-level professionals seeking to learn the essential concepts and tools of ArcGIS.

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

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

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

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

• Master Python syntax and control structures to efficiently execute geospatial tasks.
• Employ Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS contexts.
• Manipulate and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to optimize task efficiency.

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to analyze large, complex datasets, enabling actionable insights and strategic decision-making.

This instructor-led, live training (available online or onsite) targets advanced data professionals who aim to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

Upon completing 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.
• Leverage distributed computing frameworks for real-time analytics and data streaming.
• Integrate big data analytics into business intelligence and decision-making systems.

Course Format

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

Course Customization Options

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

The objective of the course is to assist participants in delivering evidence-based responses to the following questions:

What has occurred?

• Processing and analyzing data
• Creating insightful data visualizations

What is projected to occur?

• Forecasting future performance
• Assessing forecast accuracy

What should be done?

• Transforming data into evidence-driven business decisions
• Enhancing and optimizing processes

This instructor-led, live training in Cordoba (online or onsite) is designed for geographers at an intermediate level who aim to enhance their proficiency 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 rigorous data quality assurance.
• Develop dynamic and interactive maps and visualizations for diverse applications.
• Implement programming and automation to optimize GIS workflows.

This instructor-led live training in Cordoba (online or on-site) is designed for intermediate-level data analysts who aim to learn and apply Grafana’s advanced features and components for data visualization and analysis.

Upon completing this training, participants will be equipped to:

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

This course provides a practical look at how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

Designed for intermediate-level insurance professionals, this instructor-led live training (available online or onsite) focuses on helping participants understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.

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

• Explain how AI, Big Data, IoT, and automation impact modern insurance workflows.
• Identify key InsurTech trends and their influence on the insurance ecosystem.
• Design customer-centric strategies leveraging digital tools and data insights.
• Apply data-driven approaches to risk management and decision-making.
• Develop an innovation and change management approach tailored 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 fundamental discipline in software and systems development, concentrating on the identification, documentation, and management of 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.

Upon completing this training, participants will be equipped to:

• Grasp and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective, context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Leverage Requirements Engineering tools and best practices to improve communication and project outcomes.
• Gain full readiness to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lectures and discussions.
• 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 upon request.

R is a widely-used, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides students with an introduction to the R programming language, covering fundamental concepts, key libraries, and advanced topics. Participants will learn to perform advanced data analytics and create visualizations using real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on

In today's business landscape, data analytics serves as an essential instrument. This course emphasizes cultivating practical, hands-on skills in data analysis. Our primary goal is to empower participants to provide evidence-based responses 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 Cordoba (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 Cordoba (online or onsite) targets developers and administrators who wish to utilize OpenSearch for distributed search and data analytics in a unified, secure system.

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

• Set up the necessary development environment to begin 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 Cordoba (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 how to utilize SQL across various database systems, including Oracle, SQL Server, and MS Access. By mastering analytic functions and the techniques for joining different tables within a database, participants will be empowered to shift data analysis operations from MS Excel directly to the database layer. This approach not only enhances efficiency but also supports the development of IT systems leveraging any relational database structure.

This instructor-led, live training in Cordoba (online or onsite) 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 with 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 Cordoba (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.

Upon completing this training, participants will be able to:
• Process and analyze satellite images for conservation and environmental monitoring applications.
• Manage spatial data in a structured manner through geodatabases in ArcGIS Pro.
• Consolidate an institutional repository of geospatial information under best practices.
• Apply Artificial Intelligence tools and advanced analysis in ArcGIS Pro for remote sensing.
• Integrate efficient workflows for spatial analysis and geographic data management.

This instructor-led, live training in Cordoba (online or onsite) is designed for data scientists, data analysts, and business analysts who aim to clean and process data effectively.

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

• Create an efficient data cleaning strategy.
• Utilize practical tools for data cleaning.
• Achieve results with greater efficiency.
• Learn and apply industry best practices for data cleaning.

In the dynamic energy landscape, combining electrical transient analysis with accurate geographic information has become a critical strategic requirement. At present, relying on disjointed data creates substantial operational risks. This intensive 14-day course in Melbourne is structured to connect electrical engineering expertise with geospatial management.

This instructor-led, live training in Cordoba (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

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

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

KNIME Analytics Platform stands out as a premier open-source solution for data-driven innovation, empowering you to uncover hidden potential within your data, extract fresh insights, and predict future trends. Equipped with over 1,000 modules, numerous ready-to-run examples, a broad spectrum of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as an ideal toolbox for both data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to familiarize themselves with KNIME, learn how to utilize it more effectively, and develop clear, comprehensive reports based on KNIME workflows.

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

It is targeted at an audience that lacks programming experience but intends to use cutting-edge tools to implement analytics scenarios.

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

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

Format of the Course

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

Course Customization Options

• To request a 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 includes an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, business modeling and data modeling methodology. 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 conclusion covers reporting, integration with BIRT and KNIME WebPortal.

This instructor-led live training in Cordoba (online or onsite) is tailored for data scientists interested in programming with Python and R for KNIME.

By the conclusion 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 delegates prepare for advanced Data Analytics degrees abroad, they encounter a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is designed 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.

A Geographic Information System (GIS) is a framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is also occasionally used to refer to Geographic Information Science (GIScience), which denotes the academic discipline studying these systems and represents a significant subfield within the broader domain of geoinformatics.

QGIS serves as a robust GIS software solution, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as point, line, or polygon features. The software accommodates multiple raster image formats and can georeference images. In essence, it empowers users to create, edit, visualize, analyze, and publish geospatial data across Windows, Mac, Linux, and BSD operating systems.

In its first phase, this program introduces the QGIS interface for general usage. The second phase covers PyQGIS—the Python libraries of QGIS—which allows the integration of GIS functionalities into your Python code or applications. This capability even enables you to develop custom Python plugins tailored to specific GIS functionalities.

This instructor-led, live training in Cordoba (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis 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 of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

This instructor-led, live training session Cordoba (online or onsite) is designed for business and data analysts who wish to utilize the artificial intelligence 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 in Cordoba (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.