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. Kazakhstan 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
Good real world examples, reviews of existing reports
Ronald Parrish
Course: Data Visualization
The examples.
Peter Coleman
Course: Data Visualization
I liked the examples.
Peter Coleman
Course: Data Visualization
I am a hands-on learner and this was something that he did a lot of.
Lisa Comfort
Course: Data Visualization
Trainer was enthusiastic.
Diane Lucas
Course: 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
He knows the subject very well
Thakral One
Course: Apache Druid for Real-Time Data Analysis
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 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
Trainer approach and the way how he was able to explain everything. it was shown in very interesting way
Justyna - Estera Derkowska, Intermediate Capital Group Polska Sp. z o.o.
Course: Power BI for Business Analysts
Trainer approach and the way how he was able to explain everything. it was shown in very interesting way
Justyna - Estera Derkowska, Intermediate Capital Group Polska Sp. z o.o.
Course: Power BI for Business Analysts
The pace and the organization (no need to follow the trainer, we had to do later exercises on our own and ask for help if got stuck)
Estera Derkowska, Intermediate Capital Group Polska Sp. z o.o.
Course: Power BI for Business Analysts
interactive. always could ask a questions. clear and understandable.
Kanan - Estera Derkowska, Intermediate Capital Group Polska Sp. z o.o.
Course: Power BI for Business Analysts
Visualization tasks were very helpful to understand the application in real life
Amina - Estera Derkowska, Intermediate Capital Group Polska Sp. z o.o.
Course: Power BI for Business Analysts
Good pace, good instructor, lots to cover.
Estera Derkowska, Intermediate Capital Group Polska Sp. z o.o.
Course: Power BI for Business Analysts
Technology used as well the learning material available from the trainer
Gustavo Gil, Gustavo Gil
Course: D3.js for Data Visualization
Using on screen capture to drop in and out of other ppls sessions to help super quick. nice to have.
Mykhailo Charalambij - Federal Geospatial Platform, Natural Resources Canada
Course: D3.js for Data Visualization
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
There was a small group, Charlie was very knowledgeable and had a good rapport with us. She was responsive to our questions
Dr Alasdair Gordon-Finlayson, University of Northampton
Course: Foundation R
Lots of signposting beyond the basic R foundations content, Charlie has given me a lot of good ideas for where I need to go next and what I need to engage with to continue to improve my R fluency.
Dr Alasdair Gordon-Finlayson, University of Northampton
Course: Foundation R
I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.
Anna Yartseva - Birmingham City University
Course: Foundation R
Good explanations on how we do things
Birmingham City University
Course: Foundation R
Background knowledge and 'provenance' of trainer.
Francis McGonigal - Birmingham City University
Course: Foundation R
Excellent presentation and it gives me confidence to build on knowledge gained.
Birmingham City University
Course: Foundation R
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
Seeing all the options of visuals.
Apex Global Solutions
Course: Creating Dashboards Using Microsoft Power BI
I liked everything!
Chana Wertheimer - Apex Global Solutions
Course: Creating Dashboards Using Microsoft Power BI
The interactive nature. Lots of hands on examples and not just lecture style and hand outs. I learn much better working the way it was taught to us
Derek Brown - Apex Global Solutions
Course: Creating Dashboards Using Microsoft Power BI
hands-on examples
Apex Global Solutions
Course: Creating Dashboards Using Microsoft Power BI
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
The pratcice option and the involving participants in solving the tasks
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
Data sources and tasks were really creative and interesting.
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
It was very interatctive, and a load of things to learn
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
New knowledge. :-)
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
Trainers are very knowledgeable, and patient in ensuring students could follow the lecture.
Trudy Staples Girardin - Indigenous Services Canada
Course: Power BI Dashboards
I felt like we saw the whole spectrum of what Power BI can do. The trainers were super knowledgeable and so patient with our group.
Angela Murphy - Indigenous Services Canada
Course: Power BI Dashboards
I learned a lot about Power BI and how to integrate the excel into it. I also enjoyed learning all different filters, visualizations and information that can be created.
Krystina Merkley - Indigenous Services Canada
Course: Power BI Dashboards
I found the two instructors extremely knowledgeable, personable and respectful, great guys.
Bruce Pickett - Indigenous Services Canada
Course: Power BI Dashboards
Data Visualization Course Outlines in Kazakhstan
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Kazakhstan (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 Kazakhstan, 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
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
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
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
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
21 hours
In this instructor-led, live training in Kazakhstan, 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.
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
21 hours
In this instructor-led, live training in Kazakhstan (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.
7 hours
In this instructor-led, live training in Kazakhstan, 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.
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
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
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.
14 hours
In this instructor-led, live training in Kazakhstan (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.
7 hours
In this instructor-led, live training in Kazakhstan (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
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
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
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.
14 hours
This instructor-led, live training in Kazakhstan (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.
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
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.
21 hours
About This Course
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.
Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Skills gained
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
14 hours
This instructor-led, live training in Kazakhstan (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.
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.
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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