Local, 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 "onsite live training" or "remote live training". Onsite live Data Visualization trainings in the Philippines can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

I thought that the information was interesting.

Allison May

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

Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.

Susan Williams

Course: Data Visualization

Trainer was enthusiastic.

Diane Lucas

Course: Data Visualization

I really liked the content / Instructor.

Craig Roberson

Course: Data Visualization

I am a hands-on learner and this was something that he did a lot of.

Lisa Comfort

Course: Data Visualization

I liked the examples.

Peter Coleman

Course: Data Visualization

I liked the examples.

Peter Coleman

Course: Data Visualization

I enjoyed the good real world examples, reviews of existing reports.

Ronald Parrish

Course: Data Visualization

I genuinely was benefit from working with DAX and reporting.

Marine Benefits, Inc.

Course: Power BI for Business Analysts

The last part which is security.

Marine Benefits, Inc.

Course: Power BI for Business Analysts

I really enjoyed the training exercise.

Edward Dan Dree Manalad - Marine Benefits, Inc.

Course: Power BI for Business Analysts

I genuinely enjoyed the lots of labs and practices.

Vivian Feng - 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 generally liked the subject matter.

Destination Canada

Course: Data Analysis with SQL, Python and Spotfire

The tool is very interesting.

Pernod Ricard Hong Kong Limited

Course: Power BI for Business Analysts

Very practical, using our internal data to practice.

Pernod Ricard Hong Kong Limited

Course: Power BI for Business Analysts

Clear and organized on the training topics. Good for people with who have never used PowerBI to be able create sensible dashboards and reports.

Pernod Ricard Hong Kong Limited

Course: Power BI for Business Analysts

I enjoyed the exercices gives a good insight.

Andreas Kukacka

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Very practical approach, all questions answered.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

i got a overview to the elk suite.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

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

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 good examples and opportunity to follow along.

Environmental and Climate Change Canada

Course: Foundation R

I genuinely enjoyed the hands passed exercises.

Yunfa Zhu - Environmental and Climate Change Canada

Course: Foundation R

Good examples / demonstrations

Ofqual

Course: D3.js for Data Visualization

thoroughly explained topic

ING Business Shared Services B.V.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Translated by

examples from life

ING Business Shared Services B.V.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Translated by

Knowledge of the teacher, individual help, answering a lot of questions from the students

Michalina Antos - ING Business Shared Services B.V.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Translated by

An attempt to solve the problem posed on the part of the participants

ING Business Shared Services B.V.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Translated by

I really liked the dax.

Chris Amaza - Marine Benefits, Inc.

Course: Power BI for Business Analysts

Translated by

How dynamic it is

Isidoro Gutierrez Hernandez - Edenred Mexico

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Translated by

Moving from scratch to things more specific. The trainer was very well prepared and answered the questions perfectly.

Jeppesen Poland

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Translated by

Very practical approach, all questions answered.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

i got a overview to the elk suite.

Course: ELK: Elasticsearch, Logstash and Kibana for Administrators

Data Visualization Subcategories

Data Visualization Course Outlines

Title

Duration

Overview

Title

Duration

Overview

D3.js for Data Visualization

7 hours

Overview

D3.js (or D3 for Data-Driven Documents) is a JavaScript library that uses SVG, HTML5, and CSS for producing dynamic, interactive data visualizations in web browsers.

In this instructor-led, live training, 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.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Kibana: Essentials

14 hours

Overview

This training introduces Kibana to the users of Elastic Search.

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.

Introduction to Data Visualization with Tidyverse and R

7 hours

Overview

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

Tableau Intermediate Training Course

14 hours

Overview

Tableau helps people see and understand data.

Tableau with Python

14 hours

Overview

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

Data Analysis with SQL, Python and Spotfire

14 hours

Overview

In this instructor-led, live training, 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.

Power BI for Business Analysts

21 hours

Overview

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.

In this instructor-led, live training, 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.

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.

Creating Dashboards Using Microsoft Power BI

14 hours

Overview

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

Power BI Dashboards

14 hours

Overview

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

Octave not only for programmers

21 hours

Overview

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.

Highcharts for Data Visualization

7 hours

Overview

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

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

A Practical Introduction to Data Science

35 hours

Overview

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.

Foundation R

7 hours

Overview

The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.

Embedding Projector: Visualizing Your Training Data

14 hours

Overview

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

ELK: Elasticsearch, Logstash and Kibana for Administrators

14 hours

Overview

This instructor-led, live training 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.

Format of the course

- Heavy emphasis on live practice
- Most of the concepts are learned through exercises and hands-on implementation and deployment

ECharts

14 hours

Overview

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

Druid: Build a Fast, Real-Time Data Analysis System

21 hours

Overview

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 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.

Audience

- Application developers
- Software engineers
- Technical consultants
- DevOps professionals
- Architecture engineers

Format of the course

- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

Data Visualization: Creating Captivating Reports

21 hours

Overview

In this instructor-led, live training, 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.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Introduction to Data Visualization with R

28 hours

Overview

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

Data Visualization

28 hours

Overview

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.

Zeppelin for Interactive Data Analytics

14 hours

Overview

Apache Zeppelin is a web-based notebook for capturing, exploring, visualizing and sharing Hadoop and Spark based data.

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

Audience

- Data engineers
- Data analysts
- Data scientists
- Software developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Upcoming Data Visualization Courses

A Practical Introduction to Data Science

2019-05-13 09:30:00

Manila, Gateway Tower - Quezon City

Remote

263390PHP

Classroom

285640PHP

A Practical Introduction to Data Science

2019-05-13 09:30:00

Davao, Topaz Tower Centre

Remote

263390PHP

Classroom

285640PHP

A Practical Introduction to Data Science

2019-07-15 09:30:00

Manila, Gateway Tower - Quezon City

Remote

263390PHP

Classroom

285640PHP

A Practical Introduction to Data Science

2019-07-15 09:30:00

Davao, Topaz Tower Centre

Remote

263390PHP

Classroom

285640PHP

A Practical Introduction to Data Science

2019-09-30 09:30:00

Manila, Gateway Tower - Quezon City

Remote

263390PHP

Classroom

285640PHP

Other regions

Quezon City Manila Davao City Caloocan Cebu

Other countries

These courses are also available in other countries ››

Consulting

Data Visualization Consulting

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