Online or onsite, instructor-led live Data Visualization training courses demonstrate through discussion and hands-on practice 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..
Data Visualization training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Visualization training can be carried out locally on customer premises in Abu Dhabi or in NobleProg corporate training centers in Abu Dhabi.
NobleProg -- Your Local Training Provider
Park Rotana Complex
2, Butti Biltahina Al Muhairi St, Abu Dhabi, United Arab Emirates
Situated within the Park Complex and adjacent to TwoFour54 and Khalifa Park. Park Rotana is 15 minutes drive from Abu Dhabi International Airport and Yas Island.
Driving directions from Abu Dhabi International Airport:
Drive towards Abu Dhabi by highway No. E 10, Keep driving straight after passing the “Al Raha mall”. Follow the signage “Sheikh Zayed Bridge” to drive through the bridge, Keep in the right lane when you finish the bridge. You are now driving on “Salam / Eastern” road. Take the exit “Khalifa Park & Ministries Complex” from extreme right lane to make a “U turn” over the underpass, Follow the signal “Park Rotana Complex” and take right to the roundabout. After it, turn left in the roundabout and drive straight until you reach Park Rotana.
Radisson Blu Hotel & Resort
2, Corniche St, Abu Dhabi, United Arab Emirates
Our location provides a memorable setting for both business and social events near local attractions and beaches on the Arabian Gulf. Rely on Radisson Blu to deliver a flawless meeting experience incorporating elements like audiovisual equipment and customized menus, as well as free Wi-Fi. Our stunning ballroom (with adjoining terrace) is divisible into three separate areas with private entrances for a truly impressive events space
Grafana and Prometheus are widely recognized as industry-standard solutions for monitoring, visualizing, and generating alerts on IT infrastructure and application metrics through real-time dashboards and seamless integrations.
This instructor-led, live training—available either online or on-site—is designed for intermediate to advanced-level IT professionals seeking to integrate Grafana with Prometheus and various data sources, while building actionable visualizations and alert mechanisms across distributed systems.
Upon completion of this training, participants will be able to:
Install and configure Grafana and Prometheus within production-ready environments.
Integrate diverse data sources, including SQL, Elasticsearch, InfluxDB, and cloud APIs.
Develop advanced dashboards featuring variables, templating, data transformations, and automated alerts.
Implement best practices in data modelling, performance optimisation, and user access control.
Course Format
Interactive lectures and guided discussions.
Extensive exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Course Customisation Options
To request a customised training programme for this course, please contact us to make arrangements.
This instructor-led, live training in Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
This instructor-led, live training in Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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 searching, analyzing, and visualizing log data in real-time from various sources.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level IT professionals who aim to enhance their ELK skills for managing distributed log data, automating alerts, and creating sophisticated visualizations and dashboards.
By the end of this training, participants will be able to:
Set up advanced ingestion and parsing workflows from multiple sources, including databases.
Develop customized Kibana dashboards tailored for different teams or specific use cases.
Implement email notifications and condition-based alerts to stay informed of critical events.
Utilize regular expressions to refine search accuracy in log data.
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 Abu Dhabi (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 Abu Dhabi (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 inspecting, cleaning, transforming, and modelling data to uncover valuable insights, draw meaningful conclusions, and support informed decision-making.
This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals seeking to manage, analyse, and visualise data effectively to drive performance and support strategic decisions.
Upon completing this training, participants will be able to:
Create and manage databases.
Apply regression, classification, and fundamental machine learning models.
Develop dynamic reports and dashboards using Excel and Power BI.
Utilise statistical techniques to inform decisions and analyse trends.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Course Customisation Options
To request a customised training session for this course, please contact us to make arrangements.
This instructor-led, live training in Abu Dhabi (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.
Upon completion of this training, participants will acquire a practical, real-world comprehension of Data Science along with its associated technologies, methodologies, and tools.
Participants will have the chance to apply their knowledge through hands-on exercises. Group interaction and instructor feedback are key components of the course.
The program begins with an overview of fundamental Data Science concepts before delving into the specific tools and methodologies employed in the field.
Audience
Developers
Technical analysts
IT consultants
Course Format
The course combines lectures, discussions, exercises, and extensive hands-on practice.
Note
To arrange a customized training for this course, please contact us.
This instructor-led, live training in Abu Dhabi (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 Abu Dhabi, 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.
This course will cover various methods and best practices aligned with both business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It will also demonstrate accessing and processing data from diverse sources, including relational and non-relational databases. Additionally, the course will delve into implementing appropriate security standards and policies across the entire Power BI ecosystem, encompassing datasets and groups. Participants will learn how to manage and deploy reports and dashboards for sharing and content distribution. Lastly, the course will illustrate building paginated reports within the Power BI service and publishing them to a workspace for integration with Power BI.
This course is designed for engineers and decision-makers involved in data mining and knowledge discovery.
You will gain skills in generating impactful visualizations and methods to present and represent your data in a manner that resonates with decision-makers, aiding their comprehension of underlying insights.
In this instructor-led, live training in Abu Dhabi, 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.)
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 Abu Dhabi 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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (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.
This training familiarizes users with Kibana in the context of Elasticsearch.
Kibana is an open-source analytics and visualization platform specifically tailored for use with Elasticsearch. It allows you to search, visualize, and interact with data stored within Elasticsearch indices. You can conduct sophisticated data analysis and present your findings through various charts, tables, and maps with ease.
With Kibana, handling large datasets becomes more manageable. Its user-friendly, browser-based interface lets you rapidly build 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 the environment and utilizing the OCTAVE package for data analysis and engineering computations. The training caters to both beginners and those who already have some experience with the program but wish to refine their skills and organize their knowledge more effectively. Prior programming knowledge is not mandatory but can significantly aid in learning. Through numerous practical examples, the course will demonstrate how to leverage the OCTAVE package effectively.
Discover how to Acquire & Transform Data for Interactive Dashboards
Power BI stands out as a leading tool for Data Visualization and Business Intelligence. It comprises various data connectors, applications, and software services designed to gather information from diverse sources, transform it, and generate visually appealing reports.
Additionally, Power BI enables you to share these reports within your organization, allowing access via mobile devices and tablets. This Power BI Tutorial will guide you through connecting with multiple data sources, performing data transformations, and creating reports such as charts, tables, matrices, maps, and more.
Microsoft Power BI converts your company's data into rich visuals that enable innovative approaches to analyzing and structuring your information, allowing you to concentrate on what is crucial for achieving your objectives. This course explores 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 finishing this course, participants will have a foundational knowledge of the following areas and the skills to apply and execute the concepts learned:
Power BI
Power BI Desktop
Handling CSV, TXT, and Excel Worksheets
Connecting to Databases
Merging, Grouping, Summarizing, and Calculating Data
Microsoft Power BI is a complimentary Software as a Service (SaaS) suite designed for data analysis and sharing insights. The dashboards in Power BI offer a comprehensive overview of key metrics in one location, with real-time updates accessible across all devices.
This instructor-led training session, conducted either online or on-site, targets business managers, analysts, data specialists, report developers, and team leaders aiming to create an ideal Power BI dashboard.
Upon completion of this course, participants will be able to:
Create visually appealing and functional dashboards by adhering to essential design principles.
Select appropriate charts based on the type of data being presented.
Course Format
Engaging lectures combined with discussions.
A multitude of exercises and practical applications.
Hands-on implementation within a live-lab setting.
Customization Options for the Course
To tailor this training to specific needs, please contact us to make arrangements.
In this instructor-led, live training in Abu Dhabi (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.
This instructor-led, live training in Abu Dhabi (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 Abu Dhabi (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.
Tableau is a tool for business intelligence and data visualization. Python is a widely-used programming language that supports numerous statistical and machine learning techniques. Combining Tableau's powerful data visualization features with Python’s advanced machine learning capabilities enables developers to quickly create sophisticated data analytics applications tailored to various business needs.
This instructor-led, live training session will guide participants on how to integrate Tableau and Python for performing advanced analytics. The integration of these tools will be achieved through the TabPy API.
By the end of this course, participants will be able to:
Integrate Tableau with 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
Course Format
The course includes 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 Abu Dhabi (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 Abu Dhabi (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.
This instructor-led, live training in Abu Dhabi (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.
The Tidyverse is a suite of flexible R packages designed for data cleaning, processing, modeling, and visualization. Key components include ggplot2, dplyr, tidyr, readr, purrr, and tibble.
During this instructor-led live training session, participants will learn how to manipulate and visualize data using the tools provided by the Tidyverse.
By the end of the course, participants will be able to:
Analyze data and generate compelling visualizations
Derive meaningful insights from various sample datasets
Filter, sort, and summarize data to address exploratory questions
Create informative line plots, bar charts, and histograms from processed data
Import and filter data from a variety of sources such as Excel, CSV, and SPSS files
Audience
Beginners to the R programming language
Newcomers to data analysis and visualization
Course Format
The course includes lectures, discussions, exercises, and extensive hands-on practice.
This engaging 4-day Tableau course is designed for beginners. Throughout the program, you will become acquainted with all aspects of Tableau and learn to create and share data visualizations effectively. The curriculum covers essential steps such as connecting to data sources, performing calculations, selecting appropriate charts, constructing dashboards, and publishing your results.
The course structure includes lectures on each topic, complemented by practical exercises. It concludes with a 30-minute assessment and a 60-minute project assignment.
Course highlights:
Familiarize yourself with the Tableau interface.
Connect to and manipulate your data effectively.
Leverage Tableau's features comprehensively.
Create meaningful visualizations.
Distribute your work to a wider audience.
Course Format:
Interactive lectures and discussions.
Abundant exercises and practice sessions.
Practical implementation in a live-lab setting.
A final knowledge test and hands-on project.
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Testimonials (6)
Smart work reporting criteria
Siyabonga Kubeka - NTCSA
Course - Power BI for Business Analysts
The subject was taught in an engaging way, making me want to learn more.
kgotla Moncho - Martin Engineering Africa
Course - PL-300T00: Microsoft Power BI Data Analyst
The coding and analysis, how the information come together in a report which will be useful for my work
Nokuthula Dhludhlu - National Transmission Company South Africa
Course - Analyzing Data with Power BI
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
The content is very helpful, and the trainer makes it more easier to understand
Ibrahim Al mayahi - Vastech SA
Course - Advanced Elasticsearch and Kibana Administration
- Building dashboards
- Learning the counts and SUMs and SWITCH
-
Thereso - South African National AIDS Council Trust
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