Data Visualization Training in Hsinchu

Grafana and Prometheus are widely recognized tools in the industry for monitoring, visualizing, and alerting on IT infrastructure and application metrics through 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, and create 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 environments.
• Integrate multiple data sources, such as SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create sophisticated dashboards featuring variables, templating, transformations, and alerts.
• Implement best practices for data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lectures and discussions.
• Plenty of 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 Hsinchu (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 Hsinchu (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 Hsinchu (online or onsite) is aimed at advanced-level DevOps engineers and SREs who wish to manage and scale Prometheus and Grafana for large environments effectively.

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 Hsinchu (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 Hsinchu (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 Hsinchu (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.

This instructor-led, live training in Hsinchu (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 Hsinchu (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 Hsinchu (online or onsite) is aimed at beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

By the end 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 Hsinchu (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 Hsinchu (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.

Elastic Stack (ELK) is a robust platform designed for real-time searching, analyzing, and visualizing log data from various sources.

This instructor-led, live training (available online or on-site) is tailored for intermediate IT professionals looking to enhance their ELK skills in managing distributed log data, automating alerts, and creating sophisticated visualizations and dashboards.

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

• Configure advanced ingestion and parsing workflows from multiple sources, including databases.
• Design customized Kibana dashboards for different teams or specific use cases.
• Set up email notifications and condition-based alerts.
• Utilize regular expressions to enhance search accuracy in logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration purposes.

Format of the Course

• 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.

This instructor-led, live training in Hsinchu (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 Hsinchu (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 the process of examining, cleaning, transforming, and modeling data to uncover valuable insights, draw meaningful conclusions, and support decision-making.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who aim to manage, analyze, and visualize data effectively for performance enhancement and informed decision support.

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

• Create and manage databases efficiently.
• Apply regression, classification, and basic machine learning models.
• Develop dynamic reports and dashboards using Excel and Power BI.
• Utilize statistical techniques to inform decisions and analyze trends.

Format of the Course

• Interactive lecture and discussion sessions.
• A wealth of exercises and practical 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 Hsinchu (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.

Participants who complete this training will acquire practical, real-world insights into Data Science, along with its associated technologies, methodologies, and tools.

The training includes hands-on exercises that allow participants to apply their knowledge. Group interaction and instructor feedback are integral parts of the course.

The course begins with an introduction to fundamental concepts in Data Science, then delves into the tools and methodologies used in the field.

Audience

• Developers
• Technical Analysts
• IT Consultants

Format of the Course

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

Note

• For a customized training session tailored to your specific needs, please contact us to arrange.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.

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

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

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

In this instructor-led, live training in Hsinchu, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively.

• Use D3 to create interactive graphics, information dashboards, infographics and maps.
• Control HTML with jQuery-like selections.
• Transform the DOM by selecting elements and joining to data.
• Export SVG for use in print publications.

This course is designed for engineers and decision-makers working in data mining and knowledge discovery.

You will gain skills in creating impactful visualizations and learn techniques to present and represent your data in a manner that resonates with decision-makers, aiding them in uncovering hidden insights.

In this instructor-led, live training in Hsinchu, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions.

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

• Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.
• Design charts that fit the audience's information needs and interests.
• Choose the best chart types for a given dataset (beyond pie charts and bar charts.)
• Identify and analyze the most valuable and relevant data quickly and efficiently.
• Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)
• Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data.
• Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams.
• Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)
• Prepare datasets for visualization.

This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles is visualizations created using Tableau software.

This instructor-led, live training in Hsinchu is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at beginner-level professionals who wish to gain a mastery of the fundamentals of R and how to work with data.

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

• Understand the R programming environment and RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Perform basic statistical analysis and data summarization.
• Generate visualizations using both base R and ggplot2.
• Manage workspaces, scripts, and packages effectively.

This instructor-led, live training in Hsinchu (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.

This instructor-led, live training in Hsinchu (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.

This training introduces Kibana to users of Elasticsearch.

Kibana is an open-source analytics and visualization platform designed to work seamlessly with Elasticsearch. With Kibana, you can search, view, and interact with data stored in Elasticsearch indices. It allows you to perform advanced data analysis effortlessly and visualize your data through a variety of charts, tables, and maps.

Kibana simplifies the process of understanding large volumes of data. Its user-friendly, browser-based interface enables you to quickly create and share dynamic dashboards that reflect real-time changes to Elasticsearch queries.

This course is designed for individuals interested in exploring an alternative to the commercial MATLAB software. Over three days, participants will gain a thorough understanding of navigating and utilizing the OCTAVE package for data analysis and engineering calculations. The training is suitable for both beginners and those with prior experience who wish to organize their knowledge and enhance their skills. While familiarity with other programming languages is not mandatory, it can significantly aid in learning. The course will provide numerous practical examples to demonstrate how to effectively use the program.

Discover how to Get and Transform Data for Interactive Dashboards

Power BI is one of the most widely used tools for Data Visualization and Business Intelligence. It comprises a suite of data connectors, applications, and software services designed to fetch data from various sources, transform it, and generate visually appealing reports.

Additionally, Power BI enables you to publish these reports within your organization, making them accessible on mobile devices and tablets. In this Power BI tutorial, we will guide you through a step-by-step process for connecting to multiple data sources, performing data transformations, and creating various types of reports such as charts, tables, matrices, and maps.

Microsoft Power BI transforms your company's data into rich visuals that facilitate new ways of thinking about and organizing information, enabling you to focus on what is essential for achieving your goals. This course covers both Power BI Online and Power BI Desktop.

Audience:

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

At Course Completion

Upon completing this course, students will have a foundational understanding of the topics below and will be able to effectively utilize 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

Microsoft Power BI is a free Software as a Service (SaaS) suite designed for analyzing data and sharing insights. The Power BI dashboards provide a comprehensive 360-degree view of key metrics, updated in real-time and accessible on all devices.

This instructor-led, live training (available online or onsite) is tailored for business managers, business analysts, data analysts, report developers, and team leads who aim to design an effective Power BI dashboard.

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

• Create visually appealing and efficient dashboards by adhering to critical design principles.
• Select the appropriate charts based on the type of data being displayed.

Course Format

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

Customization Options for the Course

• To request a customized training session, please contact us to arrange.

In this instructor-led, live training in Hsinchu (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 Hsinchu (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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense.

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

• Apply Qlik Sense in data science.
• Use and navigate the Qlik Sense interface.
• Build a data literate workforce with AI interaction.
• Create a data-driven enterprise with Qlik Sense.

In this instructor-led, live training in Hsinchu (online or onsite), participants will learn how to start developing with QlikView.

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

• Install and configure QlikView.
• Transform data from various sources through QlikView scripting.
• Build data models with QlikView.

Tableau is a powerful tool for business intelligence and data visualization. Python, a widely used programming language, supports a broad range of statistical and machine learning techniques. When Tableau's robust data visualization capabilities are combined with Python's advanced machine learning features, developers can quickly build sophisticated data analytics applications tailored to various business needs.

In this instructor-led, live training, participants will learn how to integrate Tableau and Python to perform advanced analytics. The integration of Tableau and Python is achieved through the TabPy API.

By the end 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

• Part lecture, part discussion, 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 Hsinchu (online or onsite) is aimed at intermediate-level data professionals who wish to use Tableau to create advanced visualizations and dashboards for data-driven decision-making.

By the end of this training, participants will be able to: build advanced charts, use calculated fields and parameters, design interactive dashboards, and share insights effectively.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.

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

• Set up the necessary development environment to start developing.
• Build distributed, stateful, rule-based event-processing systems.
• Manage business events data and execute proper business rules.
• Reduce the event response time in large-scale, data driven applications.
• Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.

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

• Install and navigate the TIBCO Statistica program to build and manage data analysis projects.
• Understand statistics basics to analyze data and generate useful insights for the business.
• Explore advanced topics to work with big data and machine learning using TIBCO Statistica.

Audience

Course Format

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

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

The Tidyverse is a collection of versatile R packages designed for cleaning, processing, modeling, and visualizing data. Some of the key packages include ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Beginners to the R language
• Beginners to data analysis and visualization

• The course combines lectures, discussions, exercises, and extensive hands-on practice.

• Perform data analysis and create compelling visualizations
• Draw meaningful insights from various sample datasets
• Filter, sort, and summarize data to answer exploratory questions
• Transform processed data into informative line plots, bar plots, and histograms
• Import and filter data from a variety of sources, including Excel, CSV, and SPSS files

This is an engaging 4-day course designed for Tableau beginners. Throughout the course, you will become proficient with all of Tableau's features and learn how to create and share data visualizations effectively. The curriculum will guide you through each step, from connecting to your data and creating calculations to selecting charts, building dashboards, and publishing your work.

The course is structured into lectures dedicated to specific topics, followed by practical exercises. It concludes with a 30-minute test and a 60-minute project assignment.

Course Milestones:

• Become familiar with the Tableau interface.
• Connect to and work with your data sources.
• Utilize Tableau's features effectively.
• Create insightful visualizations.
• Share your work with a wider audience.

Format of the Course:

• Interactive lectures and discussions.
• A wealth of exercises and practice sessions.
• Hands-on implementation in a live-lab environment.
• A knowledge test and hands-on project at the end of the course.