
Online or onsite, instructor-led live Business intelligence (BI) training courses demonstrate through hands-on practice how to understand, plan and implement BI within an organization.
BI 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 Business Intelligence training can be carried out locally on customer premises in Luxembourg or in NobleProg corporate training centers in Luxembourg.
NobleProg -- Your Local Training Provider
Testimonials
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
Understanding big data beter
Shaune Dennis - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
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
pues lo sencillo de la herramienta
Viviana González Moreno, Seguros Banorte
Course: Business Intelligence with SSAS
Costas was fluid in his approach to training. He started at the why and gave really understanding and then application. He was really easy to understand and always answered questions really well.
Zara O'Gorman - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Trainer was great and very patient with us. Anything we asked, he explained very well. He shared is VM and we were able to follow his direction on using Tableau by seeing what he was doing. it was a great help to me.
Ciera McCarron Toland - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
loved the hands on exercises and that the trainer walked us through how to do them and helped anyone that was having an issue. He made excellent use of the training room functionality and actually watched everyones progress.
Jill Schmaedeke - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course: Data analysis with Tableau
The trainer answered all of my questions and gives us a walkthrough.
Mark Xavier Rimas - AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Almost every topic we had the chance to do it ourselves and that really help us learn it easier
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Plenty of exercise to do to better understand the topic.
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
all the materials and how the trainer teach
Ma Rowenaliz Gayoma - JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
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 time spent on data modeling. As most of the persons are not IT, it is good for everyone to know the implication of the relationships and the useful star concept
Filipe Fernandes - Isidro de Paz, European Space Agency
Course: Advanced Power BI
get to know the trainees first in order to better adapt the training, details about SharePoint, Good habits to implement BI
Lisboa Abel Vilanculos - Ernesto Sitoe Junior, Electricidade de Mocambique
Course: Advanced Power BI
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Ernesto Sitoe Junior, Electricidade de Mocambique
Course: Advanced Power BI
very friendly and accommodating. After the first day when he realized we were more advanced he re-structured the course and customized it to our needs.
Apex Global Solutions
Course: Data Analytics Process, Cloud Solutions, and Power BI Solutions
Trainers are very knowledgeable and patient in ensuring students could follow the lecture.
Trudy Staples Girardin - Indigenous Services Canada
Course: Excel to Power BI
I learned so much about Power BI, the trainers were patient and very knowledgeable.
Krystina Merkley - Indigenous Services Canada
Course: Excel to Power BI
Patience of Costas, adaptability to our various knowledge levels and work requirements. Possibility to ask questions.
Beatrice PLATEAU - Ameropa
Course: Excel to 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
I was benefit from the good Explanation and ability to Switch Topics when requested by the trainee.
McArthurGlen
Course: Power BI
I enjoyed the about the actual application of the lectures provided by the Jonathan.
Sykes Asia, Inc.
Course: Power BI
I like most the DAX function topic as well as the Trainer's eagerness to resolved inappropriate output, he speak based on his audience level of understanding.
Anabelle Anore - Sykes Asia, Inc.
Course: Power BI
Materinya runut dan mencakup hal2 umum terkait powerbi untuk pemula
Angel - Endah Palupi Puspitaningrum, PT. Becton Dickinson Indonesia
Course: Power BI for Developers
Right what i want
Endah Palupi Puspitaningrum, PT. Becton Dickinson Indonesia
Course: Power BI for Developers
The trainer is a person who fully knows the subject and uses the tool in his daily work. It is always very productive to be trained by someone who has the knowledge derived from the daily application of the knowledge and whom is dedicated and experienced in the use of the tools that he teaches.
Course: MicroStrategy for Architects
The trainer is a person who fully knows the subject and uses the tool in his daily work. It is always very productive to be trained by someone who has the knowledge derived from the daily application of the knowledge and whom is dedicated and experienced in the use of the tools that he teaches.
Course: MicroStrategy for Architects
TOPICS I WAS INTERESTED IN LEARNING ABOUT
Course: MicroStrategy for Architects
Sin duda, aprender el entorno general de y llevar a la práctica la herramienta Apache Superset.
Saúl - BELEM VELAZQUEZ BARRERA, N/A
Course: Advanced Apache Superset
A l'écoute et étendue des connaissances impressionnantes
DESIRANT Clément, METROPOLE DU GRAND NANCY
Course: Advanced Apache Superset
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
I enjoyed that it was hands on and practical and not "Death by PowerPoint".
Ultimate Knowledge
Course: Advanced Splunk
Incorporating the data science topics.
Ultimate Knowledge
Course: Advanced Splunk
The instructor knows splunk very well.
Ultimate Knowledge
Course: Advanced Splunk
lots of pratical exercises
Marcin - Bożena Opoka, Narodowy Bank Polski
Course: Splunk Data Administration
I did learn a lot on the subject.
Statistics Canada
Course: SAS Programming
Data management, reporting and statistics concepts.
Dumisani - Leanne Ross, Interfront SOC Ltd
Course: Stata: Beginner to Advanced
The training was at a good pace and the trainer was very patient. So this is very good. I think pitched at a good level too.
European commission
Course: Stata: Beginner to Advanced
Trainer flexibility in the following areas: 1. Shifting the agenda to address some questions I had which required the introduction of some Alteryx tools which Pedro had initially planned to introduce later. 2. Accommodating actual use cases in our hands-on exercise. 3. Tweaking of the agenda to include some machine learning concepts albeit at a high level.
HK Lim - HK-Lim
Course: Alteryx for Data Analysis
Present the subject matter in direct and straightforward matters.
Clive Low
Course: Alteryx for Developers
It was very practical, lot of opportunities to use the tool
Krisztian Csuhaj - UBS Business Solutions Poland Sp. z o.o
Course: Alteryx for Developers
The trainer is a person who fully knows the subject and uses the tool in his daily work. It is always very productive to be trained by someone who has the knowledge derived from the daily application of the knowledge and whom is dedicated and experienced in the use of the tools that he teaches.
Course: MicroStrategy for Architects
The trainer is a person who fully knows the subject and uses the tool in his daily work. It is always very productive to be trained by someone who has the knowledge derived from the daily application of the knowledge and whom is dedicated and experienced in the use of the tools that he teaches.
Course: MicroStrategy for Architects
TOPICS I WAS INTERESTED IN LEARNING ABOUT
Course: MicroStrategy for Architects
Business Intelligence Subcategories in Luxembourg
Business Intelligence Course Outlines in Luxembourg
- Learn how Python can be integrated into Power BI for data analysis.
- Use Python scripts to load, clean, and preprocess data within the Power BI environment.
- Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
- Acquire advanced data analysis skills using Python.
- Navigate and utilize the Oracle BI interface effectively.
- Create and customize reports and dashboards tailored to business needs.
- Conduct ad-hoc analysis using various BI tools.
- Utilize advanced features for comprehensive data exploration.
- Navigate and utilize the SAS BI interface effectively.
- Create customized reports and dashboards tailored to business needs.
- Conduct ad-hoc analysis using various BI tools.
- Leverage advanced features for comprehensive data exploration.
- Navigate and use the SAP BusinessObjects BI interface.
- Create and customize business reports and dashboards.
- Perform ad-hoc analysis using various BI tools.
- Utilize advanced features for in-depth data exploration.
- Learn the fundamental concepts of Sisense and how it works.
- Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
- Merge and manage data from multiple sources.
- Utilize Sisense for quick data manipulation and visualization.
- Have an in-depth understanding of the Tableau Server architecture.
- Understand Tableau Server processes and functions.
- User Tableau Server to automate tasks.
- Configure and manage the Tableau Server.
- Set up Tableau Server for high availability and scalability.
- Understand the basic concepts of AWS QuickSight.
- Use AWS QuickSight to create data analysis, reports, and insights.
- Use AWS to create relationships between data for enhanced analysis.
- Learn different types of visualizations in understanding data.
- Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
- Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
- Get a refresher on the fundamentals of Python and SQL.
- Perform data pre-processing techniques in Python.
- Learn how to connect Python and SQL for data analysis.
- Create insightful data visualizations and charts with Tableau.
- Have a comprehensive understanding of Data Analysis Expressions (DAX) in Power BI.
- Create custom calculations and expressions in Power BI for analyzing data and deriving insights.
- Learn best practices to optimize DAX performance.
- Fully understand the concepts and architecture of data warehousing.
- Understand how to use analytics, desktop objects, and schemas.
- Build and maintain MicroStrategy projects.
- Learn to use and configure all the tools in the developer tab.
- Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
- Learn how to use API tools to download and parse web data.
- Use Alteryx scripting tools, including Python and R.
- Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
- Utilize the improved data module and data management features for more efficient data handling.
- Implement best practices for a smooth transition and optimal use of Cognos 11.
- Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
- Use DAX formulas in Power BI for complex calculations.
- Create and use visualizations and charts for particular analysis cases.
- Import with Power View to move from Excel based Power BI to independent Power BI.
- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results
- Data analysts
- Part lecture, part discussion, exercises and heavy hands-on practice
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
- Law Enforcement specialists with a technical background
- Part lecture, part discussion, exercises and heavy hands-on practice
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE
- Programmers
- BI Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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
- 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 SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS
- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
- This training is based on the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:
- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
- Implement Tableau analytics with R.
- Return values to Tableau with learning algorithms in R.
- Structure and visualize R functions in Tableau.
- Make data driven decisions for business operations.
- Install and configure Tableau (Desktop, Server, Online.)
- Understand the fundamentals of developing with Tableau.
- Create and publish data visualizations and interactions with Tableau.
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
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