Data Visualization Training in Östergötland

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualizations and alerts across distributed systems.

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

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

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Östergötland (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 Östergötland (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 Östergötland (online or onsite) is designed for advanced-level DevOps engineers and SREs who wish to manage and scale Prometheus and Grafana effectively in large environments.

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

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in Östergötland (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 Östergötland (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

This instructor-led, live training in Östergötland (online or onsite) targets advanced DevOps and SRE professionals aiming 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.

This instructor-led, live training in Östergötland (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 in Östergötland (online or onsite) is designed for 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 Östergötland (online or onsite) is tailored for beginner-level system administrators and DevOps engineers who aim to develop core monitoring skills using Grafana and Prometheus.

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

• Understand the purpose and importance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Östergötland (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

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

• Set up and navigate Google Colab for data visualization.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led live training in Östergötland (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.

The Elastic Stack (ELK) serves as a robust platform for real-time searching, analyzing, and visualizing log data sourced from various systems.

This instructor-led training, available online or onsite, targets IT professionals at an intermediate level who aim to enhance their expertise in ELK. The course focuses on managing distributed log data, automating alerting mechanisms, and developing sophisticated visualizations and dashboards.

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

• Setting up advanced ingestion and parsing workflows for diverse sources, including databases.
• Designing tailored Kibana dashboards suited to specific teams or operational use cases.
• Deploying email notifications and implementing condition-based alerts.
• Leveraging regular expressions to enhance the precision of log searches.
• Administering user roles and access permissions to ensure secure log management environments.
• Utilizing the Elasticsearch REST API for automation and seamless integration.

Course Format

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

Customization Options

• For tailored training requests, please get in touch with us to make arrangements.

This instructor-led live training in Östergötland (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

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

• Create and customize Grafana dashboards with different visualizations.
• Implement alerting and notifications for monitoring.
• Administer user accounts, teams, and permissions.
• Manage IT assets effectively, including hardware and software inventory.
• Implement a helpdesk system for user support and ticket management.

This instructor-led, live training in Östergötland (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

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

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

Data Analysis involves examining, cleansing, transforming, and modeling data to uncover valuable insights, draw conclusions, and support informed decision-making.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals who aim to manage, analyze, and visualize data effectively to enhance performance and support decision-making processes.

Upon completing this training, participants will be able to:

• Create and manage databases.
• Implement regression, classification, and fundamental machine learning models.
• Build dynamic reports and dashboards using Excel and Power BI.
• Utilize statistical techniques to guide decisions and analyze trends.

Course Format

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

Customization Options

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

This instructor-led live training in Östergötland (online or onsite) is aimed at 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.

This instructor-led live training in Östergötland (online or onsite) is designed for data analysts who wish to build analytical applications using Python with Plotly and Dash.

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

• Set up real-time interactive dashboards for streaming live updating data.
• Build interactive dashboards using Python for data science solutions.
• Secure interactive dashboards with advanced authentication methods.

This course explores human perception and demonstrates how to utilize it to generate high-quality insights. You will become acquainted with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will grasp the distinctions and similarities between exploratory and explanatory analysis. You will learn which chart types are appropriate for specific data scenarios and how to select the most effective one. By the conclusion of the course, you will be equipped to apply design principles to visualizations developed within the Tableau software.

This instructor-led, live training in Östergötland is designed for system administrators aiming to deploy an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 delegates is required for this course to proceed.

The session begins with an exploration of ELK architecture and core functionality, transitioning into hands-on lab implementation and practice. Practical exercises are central to the curriculum, allowing participants to apply their learning while receiving constructive feedback on their progress.

This instructor-led, live training Östergötland (onsite or remote) is designed for data analysts who wish to utilize Grafana for monitoring and visualizing data.

Upon completing this training, participants will be able to:

• Configure the necessary development environment to begin creating visualizations in Grafana.
• Set up Grafana to ensure high availability.
• Customize panels and dashboards using various data sources.
• Configure a reverse proxy to optimize loading speeds.

This instructor-led live training in Östergötland (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

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

• Aggregate and visualize metrics about systems and applications.
• Create a StatsD client for gathering application metrics.
• Build informative and dynamic dashboards with Grafana.
• Gather insights from back-end performance.

Master the techniques for extracting and transforming data to build engaging, interactive dashboards.

Power BI stands as a leading data visualization and business intelligence platform. It comprises a suite of data connectors, applications, and software services designed to retrieve data from diverse sources, perform necessary transformations, and generate stunning reports.

Additionally, Power BI enables you to publish these insights for your organization, ensuring they are accessible across mobile devices, tablets, and other platforms. This Power BI tutorial provides a comprehensive, step-by-step guide to connecting with various data sources, executing data transformations, and creating visual reports such as charts, tables, matrices, and maps.

Microsoft Power BI converts your organizational data into compelling visualizations that enable new perspectives on how to analyze and structure your information, allowing you to concentrate on the key factors driving your objectives. This course includes instruction on both Power BI Online and Power BI Desktop.

Intended Audience:

This course is designed for Business Managers, Report Developers, Analysts, Project Managers, and Team Leads.

Learning Outcomes

After completing this course, students will have a foundational knowledge of the subjects listed below, along with the skills to apply and implement the concepts learned.

• Power BI
• Power BI Desktop
• Working with CSV, TXT, and Excel Worksheets
• Connecting to Databases
• Merging, Grouping, Summarizing, and Calculating Data
• Reporting
• Power BI Online

In this instructor-led, live training in Östergötland (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.

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

• Create visually compelling dashboards that provide valuable insights into data.
• Obtain and integrate data from multiple data sources.
• Build and share visualizations with team members.
• Adjust data with Power BI Desktop.

This instructor-led, live training in Östergötland (online or onsite) is aimed at data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code.

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

• Set up the necessary development environment to start creating data visualizations with Python.
• Understand the data visualization core concepts, use cases, and tools.
• Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
• Learn how to create line plots, statistical graphs, geo-spatial, and other complex data visualizations with Python.
• Know the best practices and techniques for presenting and interpreting data.

Tableau is a leading business intelligence and data visualization platform. Python is a versatile programming language that supports a broad spectrum of statistical and machine learning methods. By leveraging Tableau's robust visualization capabilities alongside Python's machine learning power, developers can swiftly construct sophisticated data analytics applications tailored to diverse business needs.

Through this instructor-led live training, attendees will discover how to merge Tableau and Python to perform advanced analytics. The integration between the two tools will be facilitated via the TabPy API.

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

• Integrate Tableau and Python using the TabPy API
• Leverage the combined power of Tableau and Python to analyze complex business scenarios with minimal Python code

Audience

• Developers
• Data scientists

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This course is designed for the learner who has never used Tableau before, or who may need a refresher. It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.

This instructor-led live training in Östergötland (online or on-site) is designed for developers who wish to employ BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event-driven applications.

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

• Set up the required development environment to begin development.
• Build distributed, stateful, rule-based event-processing systems.
• Handle business events data and execute correct business rules.
• Lower the event response time in large-scale, data-driven applications.
• Create applications for fraud detection, track-and-trace functionalities, real-time customer offer generation, and more.

This instructor-led live training in Östergötland (online or onsite) is intended for engineers, researchers, and data analysts seeking to utilize TIBCO Statistica features to build analytical workflows and models.

By the conclusion of this training, participants will be capable of:

• Installing and navigating the TIBCO Statistica software to establish and manage data analysis initiatives.
• Understanding core statistical concepts to analyze data and produce valuable business insights.
• Investigating advanced topics related to big data and machine learning using TIBCO Statistica.

This intensive 4-day course is ideal for Tableau newcomers. Throughout the program, you will become proficient in all Tableau capabilities and learn how to create and share data visualizations with others. The curriculum guides you through every step, from connecting to data sources, creating calculations, selecting appropriate charts, and building dashboards, to publishing your final work.

The course structure consists of lectures focused on each specific topic, followed by practical exercises. The program concludes with a 30-minute assessment and a 60-minute project assignment.

Course milestones:

• Get accustomed to the Tableau interface.
• Connect to and manipulate your data.
• Leverage Tableau's features.
• Create insightful visualizations.
• Share your work with a wider audience.

Course Format:

• Interactive lectures and discussions.
• Ample exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.
• Knowledge test and practical project at the end of the course