Nagoya - Meieki Minami

5F & 6F Links Meieki Building, 5-31-10 Meieki, Nakamura-ku, Aichi-ken, Nagoya, japan, 450-0002

Nagoya is the third largest city in Japan. This open office is located in the district surrounding Nagoya station. Since 2015, landmark buildings kept inaugurating around the station and by 2017, it is predictable that many corporations will choose to be in this Meieki area. Furthermore, with the magnetic-levitated linear shinkansen to start service in 2027, Nagoya has strategic advantage. Nagoya and Aichi area is known for its auto industry like Toyota. Besides automobiles, there are many head offices of Japanese manufacturers. With their affiliated companies and partners located in the same area, the city itself is a business complex. In recent years, forward-thinking IT companies are also trying to get a foothold in Nagoya. Besides all the attention-gathering news on the redevelopment, Meieki area has good access to Tokyo, Osaka and other major cities. It is also convenient for sales activity and commute. Therefore, it is a popular yet practical business district.

Subcategories (3)

Category for Kibana

Kibana
Category for Grafana

Grafana
Category for TIBCO

TIBCO

Explore Our Courses

Grafana: Interactive Dashboards and Dynamic Thresholds

 14 Hours
This instructor-led, live training in Nagoya (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
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Grafana Comprehensive

 21 Hours
This instructor-led, live training in Nagoya (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.
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Scaling and Optimizing Prometheus and Grafana for Large Environments

 14 Hours
This instructor-led, live training in Nagoya (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.
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Custom Metrics and Instrumentation with Prometheus and Grafana

 14 Hours
This instructor-led, live training in Nagoya (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.
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Data Visualization with Google Colab

 14 Hours
This instructor-led, live training in Nagoya (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.
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Monitoring Kubernetes with Prometheus and Grafana

 14 Hours
This instructor-led, live training in Nagoya (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.
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Advanced Alerting and Automation with Grafana and Prometheus

 14 Hours
This instructor-led, live training in Nagoya (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.
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Integrating Grafana and Prometheus with Cloud Services

 14 Hours
This instructor-led, live training in Nagoya (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.
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Building Effective Dashboards with Grafana and Prometheus

 14 Hours
This instructor-led, live training in Nagoya (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.
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Monitoring with Grafana and Prometheus

 14 Hours
This instructor-led, live training in Nagoya (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.
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Introduction to Grafana and Prometheus

 14 Hours
This instructor-led, live training in Nagoya (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.
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Grafana and GLPI Administration

 21 Hours
This instructor-led, live training in Nagoya (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.
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Advanced Elasticsearch and Kibana Administration

 35 Hours
This instructor-led, live training in Nagoya (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.
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Advanced Grafana

 14 Hours
This instructor-led, live training in Nagoya (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.
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A Practical Introduction to Data Science

 35 Hours
Participants who complete this training will gain a practical, real-world understanding of Data Science 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 Data Science, then progresses into the tools and methodologies used in Data Science. Audience
  • Developers
  • Technical analysts
  • IT consultants
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Python with Plotly and Dash

 14 Hours
This instructor-led, live training in Nagoya (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.
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Data Analysis with SQL, Python and Spotfire

 14 Hours
In this instructor-led, live training in Nagoya, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.  Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
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Advanced Data Analysis with TIBCO Spotfire

 14 Hours
This instructor-led, live training in Nagoya (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data. By the end of this training, participants will be able to:
  • Share visualizations among different team members.
  • Secure access to software based on roles and access controls.
  • Create visualizations such as map charts.
  • Integrate statistical computing languages such as R with Spotfire.
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D3.js for Data Visualization

 7 Hours
In this instructor-led, live training in Nagoya, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively. By the end of this training, participants will be able to:
  • 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.
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Data Visualization

 28 Hours
This course is intended for engineers and decision makers working in data mining and knoweldge discovery. You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.
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Data Visualization: Creating Captivating Reports

 21 Hours
In this instructor-led, live training in Nagoya, 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.
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Data Visualization Principles for Tableau

 14 Hours
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.
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Apache Druid for Real-Time Data Analysis

 21 Hours
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo. In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment. Format of the Course
  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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ELK: Elasticsearch, Logstash and Kibana for Administrators

 14 Hours
This instructor-led, live training in Nagoya 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.
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Foundation R

 7 Hours
This instructor-led, live training in Nagoya (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.
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Monitoring with Grafana

 14 Hours
This instructor-led, live training in Nagoya (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.
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Grafana and Graphite

 14 Hours
This instructor-led, live training in Nagoya (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.
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Kibana: Essentials

 14 Hours
This training introduces Kibana to the users of Elasticsearch. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
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Octave not only for programmers

 21 Hours
Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.
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Power BI Dashboards

 14 Hours
Learn how to Get & Transform Data to Prepare Interactive Dashboards Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports. Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc
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Creating Dashboards Using Microsoft Power BI

 14 Hours
About the Course: Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop. Audience: This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads. At Course Completion Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to 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
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Power BI Dashboard Design

 7 Hours
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices. This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard. By the end of this training, participants will be able to:
  • Design beautiful and efficient dashboards following the critical rules.
  • Choose the right charts based on the kind of data for display.
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.
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Power BI for Business Analysts

 21 Hours
In this instructor-led, live training in Nagoya (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.
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Data Visualization with Python

 14 Hours
This instructor-led, live training in Nagoya (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.
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Qlik Sense for Data Science

 14 Hours
This instructor-led, live training in Nagoya (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.
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QlikView for Business Users

 7 Hours
In this instructor-led, live training in Nagoya (online or onsite), participants will learn how to use QlikView to support decision making in their organization. By the end of this training, participants will be able to:
  • Install and configure QlikView.
  • Analyze and display data using QliKView.
  • Use data discoveries from QlikView to support decision making.
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QlikView for Developers

 14 Hours
In this instructor-led, live training in Nagoya (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.
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Introduction to Spotfire

 14 Hours
This instructor-led, live training in Nagoya (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data. By the end of this training, participants will be able to:
  • Install and configure TIBCO Spotfire.
  • Combine data from different databases.
  • Visualize large datasets.
  • Create and share complex dashboards.
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AI-Driven Data Analysis with TIBCO Spotfire X

 14 Hours
This instructor-led, live training in Nagoya (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.
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Data Analysis with Tableau and Python

 14 Hours
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API. By the end of this training, participants will be able to:
  • Integrate Tableau and Python using TabPy API
  • Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Data Visualization for Nonprofit using Tableau Public

 21 Hours
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.
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Tableau Intermediate Training Course

 14 Hours
Tableau helps people see and understand data.
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TIBCO for Developers

 21 Hours
This instructor-led, live training in Nagoya (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.
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TIBCO Statistica

 14 Hours
This instructor-led, live training in Nagoya (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.
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Introduction to Data Visualization with Tidyverse and R

 7 Hours
The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble. In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse. By the end of this training, participants will be able to:
  • Perform data analysis and create appealing visualizations
  • Draw useful conclusions from various datasets of sample data
  • Filter, sort and summarize data to answer exploratory questions
  • Turn processed data into informative line plots, bar plots, histograms
  • Import and filter data from diverse data sources, including Excel, CSV, and SPSS files
Audience
  • Beginners to the R language
  • Beginners to data analysis and data visualization
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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From Tableau Beginners to Advanced User

 28 Hours
This is a compelling 4-day course for Tableau beginners. During this course, you will get familiar with all Tableau features and learn how to create and share data visualization with others. The course will guide you through all of the steps, including connecting to data, creating calculations, choosing a chart, building the dashboard, and publishing your work. The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will end with 30 minutes test and 60 minutes project assignment. Course milestones:
  • Get familiar with Tableau interface.
  • Connect to and work with your data.
  • Use the Tableau features.
  • Build an insightful visualization.
  • Share your work with a broader audience.
Format of the Course:
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
  • Knowledge test and hands-on project at the end of the course
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Zeppelin for Interactive Data Analytics

 14 Hours
This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment. By the end of this training, participants will be able to:
  • Install and configure Zeppelin
  • Develop, organize, execute and share data in a browser-based interface
  • Visualize results without referring to the command line or cluster details
  • Execute and collaborate on long workflows
  • Work with any of a number of plug-in language/data-processing-backends, such as Scala (with Apache Spark), Python (with Apache Spark), Spark SQL, JDBC, Markdown and Shell.
  • Integrate Zeppelin with Spark, Flink and Map Reduce
  • Secure multi-user instances of Zeppelin with Apache Shiro
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Testimonials (16)

The energy, knowledge and style of teaching of the trainer

Ioana - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL

Course - From Tableau Beginners to Advanced User

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.

Course - Tableau Intermediate Training Course

I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.

Cristian Tudose - SC Automobile Dacia SA

Course - Advanced Data Analysis with TIBCO Spotfire

Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.

Dietmar Glanninger - BMW

Course - Qlik Sense for Data Science

Instructor is an expert in her subject matter. Teaching over zoom can be difficult since it's hard to gauge your audience but the instructor did great.

Nicolo Menez - AllianceBernstein

Course - Python with Plotly and Dash

Real-world example

Hans Alain Nyaba - Federal Geospatial Platform, Natural Resources Canada

Course - D3.js for Data Visualization

Actual application of spotfire and all basic functions.

Michael Capili - STMicroelectronics, Inc.

Course - Introduction to Spotfire

The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.

Marco Iuliano

Course - Power BI Dashboards

Real world knowledge from someone in the industry

Matthew Cerbas - Shield Consulting Solutions, Inc.

Course - Grafana

Training adjust the training according to our needs and knowledge. He understood participants experience with Power BI.

Cristian Tudor - Gilbarco ACIS SRL

Course - Creating Dashboards Using Microsoft Power BI

I genuinely enjoyed the hands passed exercises.

Yunfa Zhu - Environmental and Climate Change Canada

Course - Foundation R

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust

Course - Introduction to Data Visualization with Tidyverse and R

I enjoyed the exercices gives a good insight.

Andreas Kukacka

Course - ELK: Elasticsearch, Logstash and Kibana for Administrators

I genuinely enjoyed the lots of labs and practices.

Vivian Feng - Destination Canada

Course - Data Analysis with SQL, Python and Spotfire

I really enjoyed the training exercise.

Edward Dan Dree Manalad - Marine Benefits, Inc.

Course - Power BI for Business Analysts

I thought that the information was interesting.

Allison May

Course - Data Visualization

Upcoming Courses

Octave not only for programmers

2025-06-24 10:00
21 hours
Nagoya - Meieki Minami
¥ 683316 ~ (Online)
¥ 1366632 ~ (Classroom)

Power BI Dashboards

2025-07-08 10:00
14 hours
Nagoya - Meieki Minami
¥ 455544 ~ (Online)
¥ 911088 ~ (Classroom)

Data Visualization for Nonprofit using Tableau Public

2025-07-22 10:00
21 hours
Nagoya - Meieki Minami
¥ 683316 ~ (Online)
¥ 1366632 ~ (Classroom)

Data Analysis with SQL, Python and Spotfire

2025-08-05 10:00
14 hours
Nagoya - Meieki Minami
¥ 455544 ~ (Online)
¥ 911088 ~ (Classroom)

Creating Dashboards Using Microsoft Power BI

2025-08-19 10:00
14 hours
Nagoya - Meieki Minami
¥ 455544 ~ (Online)
¥ 911088 ~ (Classroom)

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