Data Analysis Training in Paris

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 also allows for the evaluation of participants.

• 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 Paris (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 Paris (online or onsite) is aimed at intermediate-level data scientists and engineers who wish 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 instructor-led live training in Paris (online or onsite) targets intermediate-level system administrators and monitoring professionals aiming to effectively utilize Grafana for establishing monitoring solutions, managing dashboards, and generating alerts.

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

• Distinguishing between observability and monitoring.
• Installing and configuring the Grafana server.
• Configuring and connecting diverse data sources including Prometheus, InfluxDB, and ElasticSearch.
• Creating, managing, and customizing dashboards and charts.
• Utilizing variables and queries to build dynamic dashboards.
• Setting up notifications and alerts via Grafana.
• Installing and managing plugins to enhance Grafana’s capabilities.

Stratio is a data-centric platform that seamlessly integrates big data, AI, and governance into a single, unified solution. Its Rocket and Intelligence modules empower organizations with rapid data exploration, transformation, and advanced analytics capabilities tailored for enterprise environments.

This instructor-led live training, available both online and onsite, is designed for intermediate-level data professionals looking to master the Rocket and Intelligence modules within Stratio using PySpark. The curriculum focuses on leveraging looping structures, user-defined functions, and complex data logic to enhance workflow efficiency.

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

• Navigate and effectively utilize the Stratio platform through its Rocket and Intelligence modules.
• Apply PySpark techniques for data ingestion, transformation, and analysis within the Stratio ecosystem.
• Implement loops and conditional logic to manage data workflows and streamline feature engineering tasks.
• Develop and manage user-defined functions (UDFs) to create reusable data operations in PySpark.

Course Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical 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 practice of data-informed decision-making involves weaving relevant data, evidence, and analytical insights into the decision-making process to enhance public sector outcomes and accountability.

This instructor-led training session, available online or on-site, is designed for public sector professionals who have limited or emerging experience in using data for decision-making. It targets individuals who design, evaluate, or manage government programs and wish to improve their ability to interpret, validate, and apply data to real-world decisions.

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

• Grasp the concept of being data-informed as opposed to being solely data-driven or intuition-based.
• Identify and evaluate data pertinent to a specific policy or service context.
• Formulate better questions for data analysts and effectively interpret dashboards and reports.
• Utilize data to justify, refine, or defend decisions within public service contexts.

Course Format

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

Customization Options

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

This instructor-led, live training in Paris (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 Paris (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 involves the capability to comprehend and utilize digital tools, data, and systems to facilitate informed decision-making within the realm of public service delivery and governance.

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

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

• Grasp the fundamentals of digital intelligence and its application to public sector roles.
• Employ digital tools to gather, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a roadmap for improving digital capacity and 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 arrange customized training for this course tailored to your department's workflows or internal tools, please contact us.

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

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

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

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

Course Format

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

Customization Options

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

This instructor-led, live training in Paris (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 Paris, participants will acquire a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.

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

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

ArcGIS Pro Plus represents an advanced tier of the ArcGIS Pro platform, delivering extended capabilities for geospatial data analysis, three-dimensional modeling, workflow automation, and enterprise-level collaboration.

This instructor-led training, available in online or onsite formats, is designed for intermediate GIS professionals seeking to enhance their expertise in spatial data analysis, automation, and data sharing using the tools provided by ArcGIS Pro Plus.

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

• Utilize ArcGIS Pro Plus tools effectively for data visualization and analytical processes.
• Develop 2D and 3D maps employing advanced symbology and sophisticated geoprocessing techniques.
• Streamline workflows through the use of ModelBuilder and Python scripting.
• Seamlessly integrate ArcGIS with external data services and enterprise systems.

Course Format

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

Options for Course Customization

• For those interested in a tailored training experience for this course, please reach out to us to make the necessary arrangements.

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

Upon completion 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 Paris (online or on-site) is designed for beginner to advanced GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

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

This instructor-led live training in Paris (online or on-site) is designed for intermediate-level DevOps and SRE professionals looking 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 Paris (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 Paris (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 diverse 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 Paris (online or onsite) is designed for data analysts and anyone keen 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:

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

This instructor-led live training, offered Paris (online or onsite), is targeted at beginner-level IT support professionals seeking to deliver reliable support for ArcGIS Enterprise and effectively address system anomalies or failures.

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

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

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

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

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

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

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

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

Big Data and Advanced Analytics involves the use of sophisticated techniques and tools to analyze large, complex datasets for actionable insights and strategic decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level data professionals who wish 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 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 also allows for the evaluation of participants.

• 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.

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 Paris (online or onsite) is designed for intermediate-level geographers seeking to deepen their expertise in spatial analysis, data management, and GIS applications.

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

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

This instructor-led live training in Paris (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 Era provides an applied overview of how digital transformation reshapes products, operations, and customer engagement in the insurance industry.

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

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

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and how they affect the insurance ecosystem.
• Design customer-centric strategies enabled by digital tools and data insights.
• Apply data-driven approaches to risk management and decision making.
• Develop an innovation and change management approach suitable for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Format of the Course also allows for the evaluation of participants.

• 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) is a fundamental discipline in software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to ensure project success.

This instructor-led, live training (available online or onsite) is designed 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 able to:

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

Format of the Course also allows for the evaluation of participants.

• 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 environment for statistical computing, data analytics, and graphics. This course introduces participants to the R programming language, covering language fundamentals, libraries, and advanced concepts, along with practical advanced data analytics and graphing using real-world data.

Audience

Developers / Data Analysts

Duration

3 days

Format

Lectures and Hands-on Practice

In today's business landscape, data analytics serves as a vital asset. This course prioritizes the development of practical, hands-on skills for data analysis. The primary objective is to equip participants with the ability 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 Paris (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 Paris (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 Paris (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 give participants a comprehensive understanding of how to utilize SQL across various database platforms (including Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and the techniques for joining tables within a database, attendees will learn to shift data analysis tasks from MS Excel to the database layer. This approach not only enhances efficiency but also supports the development of any IT system that relies on relational databases.

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

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

• Share visualizations among various team members.
• Secure access to the software through role-based and access control mechanisms.
• Create visualizations, including map charts.
• Integrate statistical computing languages, such as R, with TIBCO Spotfire.

This instructor-led, live training in Paris (online or onsite) is targeted at field ecologists and conservation managers who want to develop spatial data projects using ArcGIS.

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

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

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

This instructor-led, live training in Paris (online or on-site) is designed for data scientists, data analysts, and business analysts who wish to clean and process data effectively.

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

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

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

This instructor-led, live training in Paris (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.
• Set up Grafana for high availability.
• Customize panels and dashboards with data.
• Configure a reverse proxy for fast loading speeds.

KNIME Analytics Platform stands out as a premier open-source solution for data-driven innovation. It empowers users to uncover hidden potential within their data, extract fresh insights, and forecast future trends. Boasting over 1000 modules, numerous pre-configured examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit 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 get acquainted with KNIME, enhance their proficiency, and learn how to generate clear, detailed reports using KNIME workflows.

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

The course targets participants who may not have programming knowledge but aim to utilize cutting-edge tools to implement analytics scenarios.

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

• Installing and configuring KNIME.
• Developing Data Science scenarios.
• Training, testing, and validating models.
• Implementing the end-to-end value chain for data science models.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

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

The 'KNIME Analytics Platform' training offers a comprehensive overview of this free data analysis platform. The programme covers an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, business model creation methodology, and data modelling. 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 includes a discussion on reporting, integration with BIRT, and KNIME WebPortal.

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

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

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

As participants prepare to pursue advanced Data Analytics degrees overseas, they encounter a dual challenge: mastering technical coding skills while understanding how to translate data into tangible business value. This intensive 5.5-hour program is designed to address both gaps simultaneously. By integrating Python technical foundations with an introductory business analytics framework, we ensure that your team begins their academic journey as leaders, rather than merely learners.

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.

This instructor-led, live training in Paris (online or onsite) is designed for individuals who want to understand requirements analysis and perform it efficiently and accurately using appropriate analysis techniques for their projects.

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

• identify various types of requirements.
• understand the core concepts and activities involved in requirements analysis.
• become familiar with the requirements analysis methodology.
• leverage different requirements analysis techniques effectively.
• structure requirements to communicate efficiently with architects and developers through an iterative requirement gathering process.

This instructor-led live training in Paris (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 instructor-led, live training in Paris (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 adhere to corporate branding standards.

By the end of this training, participants will be able to structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.