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 Minnesota or in NobleProg corporate training centers in Minnesota.
NobleProg -- Your Local Training Provider
MN, Minneapolis - Fifth Street Towers
100 South Fifth Street 19th Floor, Minneapolis, united states, 55402
Fifth Street Towers is a LEED Gold, Energy Star® certified, two-tower Class A office complex conveniently located at t...
Fifth Street Towers is a LEED Gold, Energy Star® certified, two-tower Class A office complex conveniently located at the confluence of bus and light rail transit systems in downtown Minneapolis, just across the street from Soo Line Building City Apartments.
This instructor-led, live training in Minnesota (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.
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.
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
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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.
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
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.
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
In this instructor-led, live training in Minnesota, 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.)
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
In this instructor-led, live training in Minnesota (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.
In this instructor-led, live training in Minnesota, 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.
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
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
Audience
Developers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training in Minnesota (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.
In this instructor-led, live training in Minnesota (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.
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
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
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.
This instructor-led, live training in Minnesota (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.
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
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.
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
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Minnesota (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 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 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 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
This instructor-led, live training in Minnesota 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 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.
This instructor-led, live training in Minnesota (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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Testimonials (15)
the personalized part during which I was able to work on my project and directly apply the elements of the training
Caroline - Schreder
Course - Power BI Dashboards
Machine Translated
A large dose of really practical knowledge
Emilia - Bank Polska Kasa Opieki Spółka Akcyjna
Machine Translated
The Trainer is professional. He can make me feel this program not too hard to use as I thought before training.
Benjaporn - Thai Asahi Kasei Spandex Co.,Ltd
Course - Power BI for Business Analysts
The perfect adaptation to my needs
Thomas - AXA Wealth Services
Machine Translated
The pace, activities and screen mirroring. Power Bi is new to me and I am looking forward to working with it more.
Michelle - Childhood Development Initiative CLG
Course - Creating Dashboards Using Microsoft Power BI
From learning, being able to put the proposed exercises into practice.
Samanta - Imdepa Rolamentos
Machine Translated
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
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
It covered the areas i said i was interested in before the course: data relationships, using python script.
Connecting to databases will be covered in the advanced module.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
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
Un curso interesante.
Luis Miguel Silva - Acuntia SAU VAT: A80644081
Course - Kibana: Essentials
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 - Birmingham City University
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 genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
I enjoyed the good real world examples, reviews of existing reports.
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