Data Analysis Training in Queretaro

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 Queretaro (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 Queretaro (online or onsite) is tailored for intermediate-level data scientists and engineers looking to utilize Google Colab and Apache Spark for big data processing and analytics.

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

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

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

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

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

Stratio is a comprehensive, data-focused platform that unifies big data capabilities, artificial intelligence, and governance into one cohesive solution. Its Rocket and Intelligence modules facilitate swift data exploration, transformation, and sophisticated analytics tailored for enterprise needs.

This live training, led by an instructor and available either online or in-person, is designed for data professionals with an intermediate skill level. The goal is to help participants effectively leverage the Rocket and Intelligence modules in Stratio using PySpark, with a specific focus on loop structures, user-defined functions, and complex data logic.

Upon completing this training, participants will be able to:

• Navigate and operate within the Stratio platform using the 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.
• Numerous exercises and practical applications.
• Hands-on implementation within a live lab environment.

Customization Options

• For those interested in a customized version of this course, please reach out to us to arrange details.

Making Data-Informed Decisions involves integrating relevant data, evidence, and analysis into the decision-making process to improve public sector outcomes and accountability.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in using data for decision-making who design, evaluate, or manage government programs and wish to enhance their ability to interpret, validate, and apply data to real-world decisions.

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

• Understand what it means to be data-informed (versus data-driven or intuition-based).
• Identify and assess data relevant to a policy or service context.
• Ask better questions of data analysts and interpret dashboards and reports effectively.
• Apply data to justify, refine, or defend decisions in public service contexts.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of decision scenarios, data sets, and mock policy briefs.
• Guided exercises focused on practical decision-making use cases.

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 Queretaro (online or onsite) is aimed at 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 Queretaro (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 make well-informed decisions within the realm of public service delivery and governance.

This instructor-led, live training session, available both online and onsite, targets public sector professionals who have limited or developing experience with digital intelligence. It is designed for those who interact with data, digital tools, or service performance metrics and wish to strengthen their skills in analyzing, interpreting, and applying information to improve decision-making.

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

• Grasp the foundations of digital intelligence and its application to public sector roles.
• Utilize digital tools to gather, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a roadmap for enhancing digital capacity and adopting data-driven practices.

Course Format

• 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 request customized training tailored to your department’s workflows or internal tools, please contact us to make arrangements.

Storytelling with Data involves leveraging visual and narrative strategies to convert intricate datasets into clear, engaging narratives that drive informed decision-making and inspire action.

This instructor-led training (available online or onsite) is designed for public sector professionals who handle data but have limited or informal training in data storytelling. It aims to improve their capacity to present data clearly and persuasively through effective narratives and visuals.

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

• Transform raw data into impactful visual stories.
• Select and layout charts to reinforce 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 Queretaro (online or onsite) targets advanced-level DevOps and SRE professionals who want to improve their alerting and automation skills using 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 Queretaro will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

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

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

ArcGIS Professional Plus represents an enhanced tier of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led live training (available online or onsite) is designed for intermediate-level GIS professionals seeking to deepen their expertise in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

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

• Utilize ArcGIS Pro Plus tools for effective data visualization and analysis.
• Develop 2D and 3D maps utilizing advanced symbology and geoprocessing techniques.
• Automate workflows through the use of ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Format of the Course

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

Course Customization Options

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

This instructor-led live training in Queretaro (online or in-person) is designed for beginner-level data engineers, analysts, and scientists who wish to learn 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 Queretaro (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, conducted in Queretaro (online or onsite), is designed for GIS professionals and analysts at all levels. It aims to equip participants with the skills to utilize ArcGIS effectively for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and apply ArcGIS tools for managing geospatial data.
• Design and customize maps using layers and attributes.
• Execute complex spatial analysis and geoprocessing operations.
• Streamline workflows through ModelBuilder and Python automation.

This instructor-led, live training in Queretaro (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 Queretaro (online or in-person) 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 Queretaro (online or onsite) is designed for beginner to intermediate 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 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 Queretaro (online or onsite) is aimed at data analysts and anyone who is interested to learn 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:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Queretaro (online or onsite) targets beginner-level IT support staff who aim to provide robust support for ArcGIS Enterprise and effectively address system anomalies or failures.

Upon completing this training, participants will be able to:

• Comprehend the architecture and core components of ArcGIS Enterprise.
• Learn how to install, configure, and manage ArcGIS Enterprise.
• Acquire skills to troubleshoot and resolve common operational issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master backup, recovery, and performance optimization techniques.

This instructor-led, live training in Queretaro (online or onsite) is designed for beginner-level IT professionals and DevOps practitioners who want 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 Queretaro (online or on-site) is intended for intermediate-level data engineers seeking proficiency in utilizing Azure Synapse Analytics for a wide array 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 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 Queretaro (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

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

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

This instructor-led, live training in Queretaro (online or onsite) is designed for beginner-level earth sciences and engineering professionals who intend 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 analyze 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 want to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

By the end 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.
• Leverage 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 lecture and discussion.
• Extensive 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.

The aim of the course is to enable participants to provide evidence-based answers to key questions:

What has occurred?

• Processing and analyzing data
• Creating insightful data visualizations

What will occur?

• Forecasting future performance
• Evaluating forecasts

What should occur?

• Translating data into evidence-based business decisions
• Optimizing processes

This instructor-led live training in Queretaro (online or onsite) is designed for geographers at an intermediate level who want to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Implementing advanced spatial analysis techniques to address complex geographical challenges.
• Managing extensive spatial databases and conducting data quality assurance.
• Developing dynamic, interactive maps and visualizations for diverse applications.
• Leveraging programming and automation to optimize GIS workflows.

This instructor-led, live training in Queretaro (online or onsite) is designed for intermediate-level data analysts who want to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

Upon completing this training, participants will be able to:

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

Insurance in the Digital Age provides a practical look at how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led, live training (available online or onsite) is designed for intermediate-level insurance professionals who want to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their 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) stands as a fundamental discipline in software and systems development, dedicated to identifying, documenting, and managing the needs and constraints of stakeholders to guarantee project success.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals eager 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 able to:

• Understand and apply the key 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.
• Use 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.

R is a widely used, open-source platform for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering language fundamentals, libraries, and advanced topics. Participants will learn advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on Exercises

In today's business landscape, data analytics is an essential instrument. Throughout this course, we will concentrate on building practical skills for hands-on data analysis. The primary 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 Queretaro (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 Queretaro (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

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

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

This instructor-led, live training in Queretaro (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 database systems (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and the techniques for joining multiple tables within a database, participants will be able to shift data analysis tasks to the database layer, reducing reliance on MS Excel. This approach also aids in the development of IT systems that utilize relational databases.

This instructor-led, live training in Queretaro (online or onsite) is designed for business analysts who wish to learn advanced Spotfire Analyst techniques for data analysis.

Upon completing this training, participants will be able to:

• Share visualizations across different team members.
• Manage software access securely using roles and access controls.
• Create visualizations like map charts.
• Integrate statistical computing languages, such as R, with Spotfire.

This instructor-led, live training in Queretaro (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.

This practical, hands-on training program equips participants with the confidence to navigate business data, uncover meaningful insights, and drive better decision-making. Facilitated by an expert instructor in either online or onsite settings, this course targets beginner-to-intermediate business professionals eager to leverage contemporary analytical techniques and tools. Participants will learn to interpret data accurately, spot key trends, and communicate findings effectively.

This instructor-led, live training in Queretaro (online or onsite) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively.

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

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

In the dynamic energy landscape, combining electrical transient analysis with accurate geographic information has become a critical strategic advantage. Relying on disjointed data currently exposes operations to considerable risks. This intensive 14-day course in Melbourne is crafted to connect electrical engineering principles with geospatial management techniques.

This instructor-led, live training is offered in Queretaro (either onsite or remotely) and is designed for data analysts seeking to leverage Grafana for monitoring and visualizing data.

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

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

KNIME Analytics Platform stands as a premier open-source solution for driving data-led innovation. It empowers users to uncover the latent potential within their data, extract new insights, and forecast future trends. With over 1,000 modules, hundreds of ready-to-execute examples, a broad array of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for any data scientist or business analyst.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, experienced users, and KNIME specialists to familiarize themselves with KNIME, learn how to utilize it more efficiently, and develop 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.

It is specifically targeted at audiences who may not have programming experience but aim to utilize state-of-the-art tools to implement analytics scenarios.

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

• Install and configure KNIME.
• Construct 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.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program covers an introduction to data processing and analysis, KNIME installation and configuration, workflow creation, business modeling methodology, and data modeling. The course also discusses 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 the KNIME WebPortal.

This instructor-led, live training in Queretaro (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

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

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

As your delegates prepare for advanced Data Analytics degrees abroad, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is 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 sometimes used to refer to Geographic Information Science (GIScience), which represents the academic discipline dedicated to studying these systems and forms a significant part of the broader field of geoinformatics.

QGIS operates as powerful GIS software, enabling users to analyze and edit spatial data, as well as create and export graphical maps. It supports both raster and vector layers; vector data is organized as point, line, or polygon features. The software accommodates various raster image formats and includes georeferencing capabilities. In essence, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

This program is divided into two phases. The first phase introduces the QGIS interface for general use. In the second phase, we explore PyQGIS—QGIS's Python libraries—which allow you to integrate GIS functionalities into your Python code or applications. This capability even enables you to develop custom Python plugins tailored to specific GIS functions.

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

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

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

This live, instructor-led training in Queretaro (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 align with 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.