Data Analysis Training in Leon

This instructor-led, live training in Leon (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 Leon (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 Leon (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.

This instructor-led, live training in Leon (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 Leon (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.

This instructor-led, live training in Leon (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 Leon 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.

This instructor-led live training in Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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 Leon (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.

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 Leon (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 Leon (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.

A practical training program in Leon that equips insurance professionals with the skills to leverage AI, data, and InsurTech trends to modernize operations and customer engagement. Through workshops, case studies, and practical exercises, participants will build digital strategies suited for a rapidly evolving industry.

This instructor-led live training in Leon delves into practical Requirements Engineering concepts, elicitation strategies, and documentation techniques. It offers comprehensive exam preparation to assist participants in mastering the IREB CPRE syllabus and securing their Foundation Level certification.

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

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

• Distribute visualizations across team members.
• Control software access through defined roles and permissions.
• Build visual elements like map charts.
• Incorporate statistical programming languages such as R into Spotfire.

This instructor-led, live training in Leon (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 instructor-led, live training in Leon (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.

This instructor-led, live training in Leon (available online or onsite) is tailored for intermediate-level managers and specialists who aim to grasp the drivers of digital change in financial services and apply these changes effectively within their organizations.

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

• Articulate the key drivers of digital transformation in banking and financial services.
• Identify value creation opportunities across digital channels, lending, and SME banking.
• Comprehend how Agile methodologies and product thinking facilitate transformation.
• Gain insights from both successful and unsuccessful transformation initiatives.

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 Leon (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.

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 Leon (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.

This instructor-led, live training in Leon (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 Leon (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 Leon (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.

General Objective
To develop the necessary competencies in participants to design, implement, and utilize advanced data science solutions oriented toward scalable information processing, analytics of large data volumes, and intelligent visualization. This includes integrating statistical fundamentals, machine learning techniques, modern data architectures, and effective communication of results to support decision-making within organizations.

Competencies to Develop

Upon completing the training, participants will be able to:

• Understand the fundamentals of scalable analytics and their application in business environments.
• Design data ingestion, processing, and organization schemas for various types of sources and data volumes.
• Apply Big Data principles and distributed processing for the efficient analysis of large-scale data.
• Build and optimize data pipelines with criteria for quality, performance, and scalability.
• Employ applied statistics and machine learning techniques for analysis, modeling, and prediction on large data volumes.
• Evaluate analytical model performance considering validation, bias, overfitting, and drift.
• Design visualizations, dashboards, and analytical narratives aimed at communicating findings clearly and effectively for decision-making.
• Integrate advanced data science techniques to solve complex problems in real-world contexts.