Data Analysis Training in Salvador

Grafana and Prometheus are industry-standard tools utilized for monitoring, visualizing, and alerting on IT infrastructure and application metrics via real-time dashboards and integrations.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced IT professionals who aim to integrate Grafana with Prometheus and various data sources, enabling the creation of actionable visualizations and alerts across distributed systems.

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

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

Course Format

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

Course Customization Options

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

This instructor-led, live training in Salvador (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:

• Build dashboards that react to user interactions, such as clicking a graph bar
• Set up 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 Salvador (online or onsite) targets intermediate-level data scientists and engineers who wish 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 Salvador (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who want 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:

• Distinguish between observability and monitoring.
• Install and configure the Grafana server.
• Configure and connect various data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Leverage variables and queries to build dynamic dashboards.
• Configure notifications and alerts via Grafana.
• Install and manage plugins to enhance Grafana’s capabilities.

Stratio is a data-centric platform that combines big data, artificial intelligence, and governance into a unified solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise environments.

This instructor-led live training (available online or onsite) is designed for intermediate-level data professionals seeking to effectively utilize the Rocket and Intelligence modules in Stratio with PySpark. The course focuses on looping structures, user-defined functions, and advanced 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.
• Utilize loops and conditional logic to manage data workflows and perform feature engineering.
• Create and manage user-defined functions (UDFs) to enable reusable data operations in PySpark.

Course Format

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

Course Customization Options

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

Making Data-Informed Decisions involves incorporating 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 Salvador (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 Salvador (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

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

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

Digital Intelligence refers to the capability of understanding and utilizing digital tools, data, and systems to support informed decision-making within the realm of public service delivery and governance.

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

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

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

Course Format

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

Customization Options

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

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

This instructor-led, live training (available online or on-site) targets public sector professionals who handle data but have limited or informal training in data storytelling. It aims to help them improve their capacity 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.
• Utilize chart selection and layout to reinforce key messages.
• Structure data narratives that align with audience requirements.
• 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 emphasizing clarity, visual flow, and audience impact.

Course Customization Options

• To request customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Salvador (online or onsite) targets advanced-level DevOps and SRE professionals seeking to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Creating and managing advanced alerting rules in Prometheus.
• Connecting Prometheus Alertmanager with external tools via webhooks.
• Automating alert responses to expedite issue resolution.
• Utilizing Grafana to effectively visualize and manage alerts.

Participants who complete this instructor-led, live training in Salvador 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 advanced iteration 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) targets intermediate-level GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

Upon completing this training, participants will be able to:

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

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

This instructor-led, live training in Salvador (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

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

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led live training in Salvador (online or onsite) is designed for intermediate-level cloud and DevOps engineers who want to enhance their cloud observability using Grafana and Prometheus.

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

• Grasp the advantages of integrating Grafana and Prometheus with cloud platforms.
• Establish Prometheus to monitor cloud-based resources.
• Configure Grafana to visualize metrics from cloud services.
• Utilize cloud-native tools and integrations to ensure monitoring scalability.

This instructor-led, live training in Salvador (online or on-site) is designed for GIS professionals and analysts, spanning beginner to advanced levels, who wish to learn how to effectively utilize ArcGIS 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 Salvador (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 Salvador (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 Salvador (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:

• Grasp 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 Salvador (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 Salvador (online or onsite) targets beginner-level IT support staff seeking to provide reliable 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 core components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This instructor-led, live training in Salvador (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 Salvador (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

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

Upon completing this training, participants will be equipped to:

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Manipulate and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in both 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 analyze large, complex datasets in order to generate actionable insights and support strategic decision-making.

This instructor-led 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.

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.
• 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 sessions.
• 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 help delegates to give evidence-based answers to questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

This instructor-led, live training in Salvador (online or onsite) is designed for geographers with intermediate experience who aim to deepen their expertise in spatial analysis, data management, and GIS applications.

Upon completing this training, participants will be capable of:

• Applying advanced spatial analysis techniques to address complex geographical challenges.
• Managing large spatial databases and performing data quality control.
• Producing dynamic and interactive maps and visualizations for diverse applications.
• Using programming and automation to optimize GIS workflows.

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

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

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

Insurance in the Digital Age offers 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 insurance professionals at an intermediate level who aim to 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 the role of AI, Big Data, IoT, and automation in contemporary insurance workflows.
• Identify InsurTech trends and understand their impact on the insurance ecosystem.
• Design customer-centric strategies powered by digital tools and data insights.
• Apply data-driven approaches to risk management and decision-making processes.
• Develop an innovation and change management approach tailored for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Course Format

• Interactive lectures and discussions.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants’ organizations.

Course Customization Options

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

Requirements Engineering (RE) stands as a crucial discipline within the realm of software and systems development. It focuses on identifying, documenting, and managing the needs and constraints of stakeholders to guarantee project success.

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

After 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 and context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

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

R is a highly popular, open-source environment designed for statistical computing, data analytics, and graphical visualization. This course provides students with an introduction to the R programming language, covering its core fundamentals, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and graphing exercises 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 a vital asset in the modern business landscape. Throughout this course, we will concentrate on building practical, hands-on skills in data analysis. The goal 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 Salvador (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 Salvador (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 Salvador (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 aims to provide a comprehensive understanding of SQL application across various database platforms (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis tasks from Microsoft Excel to the database layer. This approach not only streamlines analysis but also aids in the development of any IT system utilizing relational databases.

This instructor-led live training in Salvador (online or onsite) is aimed at business analysts who want to learn advanced Spotfire Analyst techniques for data analysis.

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

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

This instructor-led, live training in Salvador (online or onsite) is designed for field ecologists and conservation managers who wish to develop spatial data projects in ArcGIS.

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

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

Data Analysis for Business 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 Salvador (online or on-site) is designed for data scientists, data analysts, and business analysts who want to clean and process data effectively.

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

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

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

This instructor-led, live training in Salvador (onsite or remote) targets data analysts looking to utilize Grafana for monitoring and visualizing data.

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

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

KNIME Analytics Platform stands out as a premier open-source solution for driving data-led innovation. It empowers you to uncover hidden value within your data, extract new insights, or forecast future trends. Equipped with over 1,000 modules, numerous pre-configured examples, a broad suite of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as an essential toolkit for both data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent entry point for beginners, as well as opportunities for advanced users and experts to deepen their understanding. Participants will learn to utilize KNIME more efficiently and master the creation of clear, thorough reports built on KNIME workflows.

This instructor-led live training, available both online and onsite, is designed for data professionals looking to leverage KNIME to address complex business challenges.

The program is particularly suited for individuals without programming backgrounds who wish to utilize state-of-the-art tools to implement analytical scenarios.

Upon completing this training, participants will be able to:

• Install and set up KNIME.
• Develop Data Science scenarios.
• Train, test, and validate models.
• Implement the complete end-to-end data science model lifecycle.

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 or to learn more about this program, please contact us to arrange.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program covers an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodologies for creating business models and data modeling. The course also discusses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and 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 Salvador (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 advance toward international degrees in Data Analytics, they encounter a dual challenge: mastering technical coding while learning to translate data into tangible business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By integrating Python technical foundations with an introductory business analytics framework, we ensure your team begins their academic journey as leaders, not just learners.

A Geographic Information System (GIS) is a framework built to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is also used to refer to Geographic Information Science (GIScience), which is the academic discipline focused on the study of geographic information systems, representing a significant domain within the broader field of geoinformatics.

QGIS operates as GIS software, 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 points, lines, or polygons. The software handles multiple raster image formats and can georeference images. In summary, it allows users to create, edit, visualize, analyze, and publish geospatial information on Windows, Mac, Linux, and BSD.

In its first phase, this program introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS, the Python libraries of QGIS, which allow you to integrate GIS functionalities into your Python code or applications, even enabling you to create your own Python plugin around specific GIS functionalities.

This instructor-led, live training in Salvador (online or onsite) targets individuals who want to understand requirements analysis and execute it efficiently and accurately using specific 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 Salvador (online or onsite) is designed for business analysts and data analysts who want 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.
• Comprehend the features and architecture of TIBCO Spotfire X.
• Grasp the concepts underlying augmented and predictive analytics.
• Learn to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Salvador (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.