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. New Zealand onsite live Data Visualization trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Real-world example
Hans Alain Nyaba - Federal Geospatial Platform, Natural Resources Canada
Course: D3.js for Data Visualization
By the end of the day I felt more comfortable working with D3.JS
Federal Geospatial Platform, Natural Resources Canada
Course: D3.js for Data Visualization
Good examples / demonstrations
Ofqual
Course: D3.js for Data Visualization
Learning about all the chart types and what they are used for. Learning the value of decluttering. Learning about the methods to show time data.
Susan Williams
Course: Data Visualization
I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.
Carol Wells Bazzichi
Course: Data Visualization
I thought that the information was interesting.
Allison May
Course: Data Visualization
Ajay created a very helpful repository, filled with notes on processes and setups. He also goes through each of our virtual machines to make sure we are keeping up to speed, and he guides us when we're not. He is generous and helpful in training newbies like us.
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Instructor provided different ways to setup druid
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Detailed explanation and very approachable trainer
Thakral One
Course: Apache Druid for Real-Time Data Analysis
The trainer was very concern about individual understanding.
Muhammad Surajo Sanusi - Birmingham City University
Course: Foundation R
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Course: Foundation R
I was benefit from the good examples and opportunity to follow along.
Environmental and Climate Change Canada
Course: Foundation R
La compétence du formateur
Marie-Thérèse Saussus, SPW
Course: Highcharts for Data Visualization
Very interactive, trainers were always open to answering questions and helping out if we were falling behind. Appreciated that they were able to customize the training to our needs and use the data sets we provided.
Audrey Bernard - Environment and Climate Change Canada
Course: Creating Dashboards Using Microsoft Power BI
Being able to follow along with hands-on examples
Robin White - Environment and Climate Change Canada
Course: Creating Dashboards Using Microsoft Power BI
I liked the mix between theory and hands-on work, the small class size, and how knowledgeable and fun the instructors were. Both instructors were always smiling and very personable. Even though each training session was long, the time (for me at least) often passed quickly because I found the material quite engaging.
Environment and Climate Change Canada
Course: Creating Dashboards Using Microsoft Power BI
o conteúdo em si que foi ensinado.
Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Course: Qlik Sense for Data Science
Do aprendizado, conseguir colocar em prática os exercícios propostos.
Samanta - Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Course: Qlik Sense for Data Science
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
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 - Julia Kuczma, DLA Piper GSC Poland Sp. z o.o.
Course: Tableau Intermediate Training Course
Statistics and Array manipulation, Khobeib was able to spend time working through specific analytical questions with us and demonstrate custom calculations and solutions to our questions. Khobeib was also able to adjust the training to our pace and level of understanding. Having worked with data for some time some of the intermediate level core subjects were not required. To his credit Khobeib took this on board and moved through the contents at a speed relevant to our knowledge and understanding.
Department of Home Affairs
Course: Tableau Intermediate Training Course
The trainer was very good. He presented the material in a really accessible way.
Hydrock
Course: Introduction to Data Visualization with Tidyverse and 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 was benefit from the detailed notes to keep and work through after the course.
Public Health Wales NHS Trust
Course: Introduction to Data Visualization with Tidyverse and R
Hands-on exercises
Zarawati Muhamad Rasid, Pernec Integrated Network Systems Sdn Bhd
Course: Monitoring with Grafana
i ike the exercises the most. I can experience on hands on the system the trainers in explaning
Norasniza Sailan - Zarawati Muhamad Rasid, Pernec Integrated Network Systems Sdn Bhd
Course: Monitoring with Grafana
A lot of topics, feels like we got quite a bit of information and lots of good ideas.
Mikael Gidmark - Mikael Gidmark, Autocom Diagnostic Partner AB
Course: Monitoring with Grafana
L'adaptation parfaite à mon besoin
Thomas - Elodie MONTILLAUD DEYZIEUX, AXA Wealth Services
Course: TIBCO for Developers
Hands-on training was managed properly. The dadesktop system is very useful since I can see the actions - performed by the instructor and performed on another attendee's desktop.
STMicroelectronics, Inc.
Course: Introduction to Spotfire
Overall, the trainer showed subject expertise. Good job Vikalp!
STMicroelectronics, Inc.
Course: Introduction to Spotfire
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course: Introduction to Spotfire
I generally liked the subject matter.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
The exercises/labs were tailored to our own organizational needs.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
Data Visualization Course Outlines in New Zealand
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in New Zealand (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.
14 hours
This instructor-led, live training in New Zealand (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.
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
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
14 hours
In this instructor-led, live training in New Zealand, 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.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
14 hours
Embedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow.
This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project.
By the end of this training, participants will be able to:
- Explore how data is being interpreted by machine learning models
- Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it
- Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.
- Explore the properties of a specific embedding to understand the behavior of a model
- Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers
- Developers
- Data scientists
- Part lecture, part discussion, exercises and heavy hands-on practice
7 hours
In this instructor-led, live training in New Zealand, 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.
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.
28 hours
This course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions
21 hours
In this instructor-led, live training in New Zealand, 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.
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.
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.
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
14 hours
eCharts is a free JavaScript library used for interactive charting and data visualization.
In this instructor-led, live training, participants will learn the fundamental functionalities of ECharts as they step through the process of creating and configuring charts using ECharts.
By the end of this training, participants will be able to:
- Understand the fundamentals of ECharts
- Explore and utilize the various features and configuration options in ECharts
- Build their own simple, interactive, and responsive charts with ECharts
- Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
7 hours
The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
7 hours
Highcharts is an open-source JavaScript library for creating interactive graphical charts on the Web. It is commonly used to represent data in a more user-readable and interactive fashion.
In this instructor-led, live training, participants will learn how to create high-quality data visualizations for web applications using Highcharts.
By the end of this training, participants will be able to:
- Set up interactive charts on the Web using only HTML and JavaScript
- Represent large datasets in visually interesting and interactive ways
- Export charts to JPEG, PNG, SVG, or PDF
- Integrate Highcharts with jQuery Mobile for cross-platform compatibility
- Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
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.
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
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
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.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
21 hours
In this instructor-led, live training in New Zealand (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.
14 hours
This instructor-led, live training in New Zealand (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.
14 hours
This instructor-led, live training in New Zealand (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.
7 hours
In this instructor-led, live training in New Zealand (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.
14 hours
In this instructor-led, live training in New Zealand (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.
14 hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, 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
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
14 hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, 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
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
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
- Developers
- Data scientists
- Part lecture, part discussion, exercises and heavy hands-on practice
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.
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
- Beginners to the R language
- Beginners to data analysis and data visualization
- Part lecture, part discussion, exercises and heavy hands-on practice
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.
- 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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