
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. Hong Kong 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
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 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
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
Training adjust the training according to our needs and knowledge. He understood participants experience with Power BI.
Cristian Tudor - Gilbarco ACIS SRL
Course: Creating Dashboards Using Microsoft Power BI
relaxed atmosphere
A1 Telekom Austria AG
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Informing about practical examples
Martin Gobschiba - A1 Telekom Austria AG
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
The trainer was very concern about individual understanding.
Muhammad Surajo Sanusi - Birmingham City University
Course: Foundation R
Excellent presentation and it gives me confidence to build on knowledge gained.
Birmingham City University
Course: Foundation R
Background knowledge and 'provenance' of trainer.
Francis McGonigal - Birmingham City University
Course: Foundation R
Resources
Hafiz Rana - Birmingham City University
Course: Foundation R
Good explanations on how we do things
Birmingham City University
Course: Foundation R
Good pace and knowledge demostrated by trainer. Exercises and examples were relevant for our line of work.
Tania Crespo - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
The DAX logic, very useful to know more about it
Illya Teideman - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
The exercises were great, really engaging and very hands on which allowed more of the information to be absorbed
Rajiv Pattar - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
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
was really helpful and was willing to listen and provide what was needed. Provided card for questions to help once we use with our own data
shazad Yasin - Grafton Merchanting GB Ltd
Course: Creating Dashboards Using Microsoft Power BI
Costas covered all of the key areas of Power BI. He was very willing to spend additional time focusing on areas that were key to our business.
Dominic Harte - Grafton Merchanting GB Ltd
Course: Creating Dashboards Using Microsoft Power BI
As I was the only delegate on my course, the trainer was able to pace accordingly which meant we could cover more ground on each day.
KNOWLEDGEPOOL GROUP LIMITED
Course: Creating Dashboards Using Microsoft Power BI
The visualisation power BI is able to create with such ease!
Tom Darley - Grafton Merchanting GB Ltd
Course: Creating Dashboards Using Microsoft Power BI
The trainer was very good. He presented the material in a really accessible way.
Hydrock
Course: Introduction to Data Visualization with Tidyverse and R
covered basics as well as more advanced features. Finished a bit ahead of scheduled which allowed some time for real world questions from participants
Philip Morris Products SA OC Division
Course: Power BI for Business Analysts
Relevant info and tips
Bandeira Adrien - Philip Morris Products SA OC Division
Course: Power BI for Business Analysts
I really liked the dax.
Chris Amaza - Marine Benefits, Inc.
Course: Power BI for Business Analysts
praxis help
A1 Telekom Austria AG
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
Data Visualization Course Outlines in Hong Kong
- 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.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
- 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
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
- 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
- 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.
- 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
- 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.
- 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.
- 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
- 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
- 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
- Install and configure QlikView.
- Transform data from various sources through QlikView scripting.
- Build data models with QlikView.
- Install and configure QlikView.
- Analyze and display data using QliKView.
- Use data discoveries from QlikView to support decision making.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
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