Des cours de formation à l'intelligence d'affaires (BI) en direct, organisés à l'échelle locale, démontrent, par le biais de la pratique manuelle, comment comprendre, planifier et mettre en œuvre la BI au sein d'une organisation La formation BI est disponible sous forme de «formation en direct sur site» ou de «formation en direct à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client Belgique ou dans les centres de formation d'entreprise NobleProg à Belgique La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant NobleProg Votre fournisseur de formation local.
Machine Translated
Nos Clients témoignent
exercices
European Patent Office
Formation: Tableau Fundamentals
J'ai vraiment apprécié l'aide du formateur.
Urszula Kuza
Formation: Tableau Advanced
Machine Translated
Le fait que nous ayons des solutions prêtes pour des problèmes donnés + montrant un large éventail d'applications + passé un recueil de connaissances. W
Wojciech Michalak
Formation: Power BI
Machine Translated
J'ai aimé les exercices car c'est le seul moyen d'apprendre par répétition.
David Rushe
Formation: Tableau Advanced
Machine Translated
Le formateur a une très grande connaissance, il peut le transmettre. Cela implique que les participants interagissent et résolvent les problèmes rencontrés ensemble.
Nina Rokita
Formation: Power BI
Machine Translated
Le formateur était en contact permanent avec les bénéficiaires de la formation, ajustait le rythme à nos besoins et résolvait nos problèmes de façon continue et répondait à nos questions. Domin
Dominika Jaworska
Formation: Power BI
Machine Translated
La formation était très cohérente, j'ai appris beaucoup de fonctionnalités intéressantes du programme. A
Anna Klimczak
Formation: Power BI
Machine Translated
Exercices bien préparés, pratiqués et connaissances de l'enseignant
Sandra Przewdzing
Formation: Power BI
Machine Translated
Offrir un champ d'application plus approfondi sur Power BI, plus que tout institut de formation que j'ai rencontré.
Mohammed Al Ameer
Formation: Power BI
Machine Translated
Exercices, astuces supplémentaires du formateur, flexibilité pour ajouter plus de perspicacité à la demande.
Anna Alechno
Formation: Power BI
Machine Translated
J'ai surtout apprécié la puissance de la BI.
British American Shared Services Europe
Formation: Power BI
Machine Translated
Je bénéficiais généralement de la puissance bi-web. Q.
Cristina Palii
Formation: Power BI
Machine Translated
J'ai vraiment apprécié la partie visualisation.
Alexandra Grigoriu
Formation: Power BI
Machine Translated
Une bonne couverture de tous les thèmes Power BI pertinents et utiles pour créer des tableaux de bord et des rapports fiables en tant que débutant.
Gabriel Purghel
Formation: Power BI
Machine Translated
J'ai aimé l'accent mis sur l'auto-apprentissage, le jeu et la lecture sur des ressources externes. Aucune demande ne peut être enseignée en 2 jours et l'auto-apprentissage est très important.
Vlad Andrei Bucur
Formation: Power BI
Machine Translated
Le formateur était ouvert pour répondre aux questions et apporter des solutions à nos vrais exemples.
British American Shared Services Europe
Formation: Power BI
Machine Translated
Le fait de travailler avec DAX et la création de rapports ont vraiment été bénéfiques.
Marine Benefits, Inc.
Formation: Power BI for Business Analysts
Machine Translated
La dernière partie qui est la sécurité.
Marine Benefits, Inc.
Formation: Power BI for Business Analysts
Machine Translated
J'ai vraiment aimé le dax.
Chris Amaza - Marine Benefits, Inc.
Formation: Power BI for Business Analysts
Machine Translated
J'ai vraiment apprécié l'exercice d'entraînement.
Edward Dan Dree Manalad - Marine Benefits, Inc.
Formation: Power BI for Business Analysts
Machine Translated
La formation a été effectuée à partir de zéro, ce qui a permis aux personnes qui ne connaissent pas le système de naviguer dans l'application plus efficacement. Des exercices supplémentaires sur nos exemples ont également été une valeur ajoutée.
Rafał Starus - TUiR WARTA S.A
Formation: JasperSoft BI
Machine Translated
L'approche du leader. Bonne didactique.
Krzysztof Zimerman - CREDIT SUISSE (Poland) Sp. Z o.o.
Formation: Visual Reporting and Analysis with Tableau
Machine Translated
Beaucoup de nouvelles informations sur la connexion avec des bases de données etc ..
CREDIT SUISSE (Poland) Sp. Z o.o.
Formation: Visual Reporting and Analysis with Tableau
Machine Translated
la compétence de l'enseignant, aucune question laissée sans réponse.
Wojciech Hudyka - IGT Poland Sp. z o.o.
Formation: Tableau for Developers
Machine Translated
Apprendre à utiliser l'outil
JOSÉ ALBERTO PABELLO ALAMILLA - Walmart
Formation: Tableau Avanzado
Machine Translated
Les champs calculés et les différentes utilisations
HUMBERTO IBARRA GARCIA - Walmart
Formation: Tableau Avanzado
Machine Translated
manière compréhensible de transmettre des connaissances, un grand nombre d'exercices pratiques
Formation: Power BI
Machine Translated
J'ai aimé l'adaptation à mes besoins et à mes connaissances
Rio TInto
Formation: Power BI para Desarrolladores
Machine Translated
La connaissance de Tableau été "construite" de manière solide, il était clair que le formateur savait comment introduire au mieux les débutants à Tableau , cela semblait très facile.
Siemens Gamesa c/o Hemsley Fraser
Formation: Tableau Fundamentals
Machine Translated
Le formateur s'en alla et trouva des réponses aux questions qu'il ne connaissait pas.
Siemens Gamesa c/o Hemsley Fraser
Formation: Tableau Fundamentals
Machine Translated
J'ai vraiment été bénéficier de la matière.
Bristol City Council
Formation: Power BI
Machine Translated
Les connaissances du formateur étaient vraiment bonnes et ils ont été en mesure de répondre à toutes les questions concernant le produit.
Bristol City Council
Formation: Power BI
Machine Translated
J'ai surtout profité de l'apprentissage des diagrammes de Gantt ..
Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser
Formation: Tableau Advanced
Machine Translated
Le formateur est raffiné, il a été en mesure de jouer avec nos données en utilisant sa vaste connaissance du cours, malgré le fond 0 avec notre travail.
Mc Gyver Pascua - Sykes Asia, Inc.
Formation: Power BI
Machine Translated
J'ai apprécié l'expérience de l'apprentissage de Power BI.
Sykes Asia, Inc.
Formation: Power BI
Machine Translated
la préparation des données brutes avant la mise en page.
Ayie Delos Santos - Sykes Asia, Inc.
Formation: Power BI
Machine Translated
J'aime la plupart des sujets liés à la fonction DAX ainsi que l'empressement du formateur à résoudre les problèmes de sortie inappropriés. Il parle en fonction du niveau de compréhension de son public.
Anabelle Anore - Sykes Asia, Inc.
Formation: Power BI
Machine Translated
J'ai apprécié le sujet de l'application réelle des conférences fournies par Jonathan.
Sykes Asia, Inc.
Formation: Power BI
Machine Translated
L'outil est très intéressant.
Pernod Ricard Hong Kong Limited
Formation: Power BI for Business Analysts
Machine Translated
très pratique, en utilisant nos données internes à la pratique.
Pernod Ricard Hong Kong Limited
Formation: Power BI for Business Analysts
Machine Translated
Clair et organisé sur les sujets de formation. Bon pour les personnes qui n’ont jamais utilisé PowerBI pour pouvoir créer des tableaux de bord et des rapports judicieux.
Pernod Ricard Hong Kong Limited
Formation: Power BI for Business Analysts
Machine Translated
Liberté de communication et ouverture du formateur, exercices basés sur des exemples / données réels. De plus, j'ai aimé le fait que si quelqu'un posait une question, le formateur y répondrait à tous. Go est également louable de revenir à l’un des problèmes le lendemain pour présenter diverses options permettant de résoudre ce problème.
Artur Niestój - HSBC Service Delivery (Polska) Sp. z o.o.
Formation: Data analysis with Tableau
Machine Translated
Exercices pratiques dans le domaine de la visualisation.
Magdalena Piorunek - HSBC Service Delivery (Polska) Sp. z o.o.
Formation: Data analysis with Tableau
Machine Translated
La bonne explication et la possibilité de changer de sujet ont été bénéfiques pour moi, à la demande du stagiaire.
McArthurGlen
Formation: Power BI
Machine Translated
J'ai surtout apprécié le très vivant et la facilité ..
Rey Jasper Matias - Sykes Asia, Inc.
Formation: Power BI
Machine Translated
Le formateur a écouté le mieux possible les besoins de son public et nous avons pu former de manière adaptée à nos besoins. Costas a préparé du matériel spécialement pour les questions posées sur la formation de base à la formation avancée. Beaucoup d'efforts et de travail ont été déployés. et c'était apprécié.
Chloe Horton - Siemens Gamesa c/o Hemsley Fraser
Formation: Tableau Advanced
Machine Translated
Le fait que la formation ait été adaptée à nos besoins, que nous avions introduits avant de commencer. De plus, le formateur a soulevé ou développé des problèmes qui ont été choisis sur une base continue comme supplémentaires ou plus intéressants pour nous.
BNY Mellon (Poland) Sp. z o. o.
Formation: JasperReports
Machine Translated
En termes de connaissance des produits, il est très compétent et très ouvert pour répondre aux questions.
Cherry Espinili - Infinit-O Manila
Formation: Tableau Fundamentals
Machine Translated
J'ai surtout bénéficié des exercices et des exemples de cas.
Ann Olano - Infinit-O Manila
Formation: Tableau Fundamentals
Machine Translated
manière compréhensible de transmettre des connaissances, un grand nombre d'exercices pratiques
Formation: Power BI
Machine Translated
Sous-catégories Informatique Décisionnelle
Plans de cours Informatique Décisionnelle
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
7 hours
This instructor-led, live training in Belgique (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI.
By the end of this training, participants will be able to:
- 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.
By the end of this training, participants will be able to:
- 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.
35 hours
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
35 hours
Overview
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- 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
Target Audience
- 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
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- 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
Target Audience
- 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
14 hours
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.
In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.
By the end of this training, participants will be able to:
- 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
Audience
- Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.
By the end of this training, participants will be able to:
- 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
Audience
- Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
35 hours
Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another.
In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
- 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
Audience
- Law Enforcement specialists with a technical background
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
- 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
Audience
- Law Enforcement specialists with a technical background
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.
In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).
By the end of this training, participants will be able to:
- 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
Audience
- Programmers
- BI Developers
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.
In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).
By the end of this training, participants will be able to:
- 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
Audience
- Programmers
- BI Developers
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.
14 hours
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- 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
Audience
- 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
Course Customization Options
- 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.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- 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
Audience
- 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
Course Customization Options
- 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.
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
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
This instructor-led, live training in Belgique (online or onsite) is aimed at content managers who wish to optimize and update company content with IRIS.
By the end of this training, participants will be able to:
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
By the end of this training, participants will be able to:
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
14 hours
This instructor-led, live training in Belgique (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.
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
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.
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.
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
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.
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.
14 hours
Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008.
Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008.
Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS.
The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line.
The participant will acquire knowledge of scripting XML / A and MDX.
Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008.
Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS.
The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line.
The participant will acquire knowledge of scripting XML / A and MDX.
21 hours
In this instructor-led, live training in Belgique, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.
By the end of this training, participants will be able to:
- 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.
By the end of this training, participants will be able to:
- 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.
14 hours
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau.
During the course you will be able to:
- 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.
During the course you will be able to:
- 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.
14 hours
This instructor-led, live training in Belgique (online or onsite) is aimed at data scientists who wish to program in R for Tableau.
By the end of this training, participants will be able to:
- 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.
By the end of this training, participants will be able to:
- 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.
28 hours
This instructor-led, live training in Belgique (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.
By the end of this training, participants will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
- Represent your data using different visualization types.
- Build dashboards to share visualizations.
By the end of this training, participants will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
- Represent your data using different visualization types.
- Build dashboards to share visualizations.
28 hours
This instructor-led, live training in Belgique (online or onsite) is aimed at system administrators who wish to set up and manage Tableau Server.
By the end of this training, participants will be able to:
- Install and configure Tableau Server.
- Set up users, roles and permissions to get a team up and running.
- Access various data sources, manage content and access to the content by users.
- Automate administrative tasks, including monitoring and log management.
- Deploying Tableau Server to cluster.
By the end of this training, participants will be able to:
- Install and configure Tableau Server.
- Set up users, roles and permissions to get a team up and running.
- Access various data sources, manage content and access to the content by users.
- Automate administrative tasks, including monitoring and log management.
- Deploying Tableau Server to cluster.
21 hours
This instructor-led, live training in Belgique (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder.
By the end of this training, participants will be able to:
- Install Tableau Prep.
- Understand and implement a Data Science Workflow.
- Read data from a variety of sources, such as Excel and databases.
- Prepare, shape and sample data for analysis in Tableau Desktop.
- Explore and validate data.
- Create and publish Tableau Prep flows.
By the end of this training, participants will be able to:
- Install Tableau Prep.
- Understand and implement a Data Science Workflow.
- Read data from a variety of sources, such as Excel and databases.
- Prepare, shape and sample data for analysis in Tableau Desktop.
- Explore and validate data.
- Create and publish Tableau Prep flows.
14 hours
This instructor-led, live training in Belgique (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.
By the end of this training, participants will be able to:
- 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.
By the end of this training, participants will be able to:
- 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.
14 hours
Dashbuilder is an open-source web application for visually creating business dashboards and reports.
In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.
By the end of this training, participants will be able to:
- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers
Audience
- Managers
- Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.
By the end of this training, participants will be able to:
- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers
Audience
- Managers
- Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
7 hours
Dashbuilder is an open-source web application for visually creating business dashboards and reports.
In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.
By the end of this training, participants will be able to:
- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment
Audience
- Developers
- IT and system architects
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.
By the end of this training, participants will be able to:
- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment
Audience
- Developers
- IT and system architects
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
In this instructor-led, live training in Belgique (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.
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.
28 hours
In this instructor-led, live training in Belgique, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms.
By the end of this training, participants will be able to:
- Configure real-time dashboards.
- Create custom visualizations.
- Integrate rich analytics into existing applications.
- Embed interactive reports and visuals into existing applications.
- Access data from within an application.
- Master Power BI Portal, Desktop, Embedded and Rest API.
- Integrate R Scripts into Power BI Desktop.
By the end of this training, participants will be able to:
- Configure real-time dashboards.
- Create custom visualizations.
- Integrate rich analytics into existing applications.
- Embed interactive reports and visuals into existing applications.
- Access data from within an application.
- Master Power BI Portal, Desktop, Embedded and Rest API.
- Integrate R Scripts into Power BI Desktop.
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
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
Last Updated:
Prochains cours Informatique Décisionnelle
Data analysis with Tableau
16-02-2022 09:30
14 heures
Data Analysis with Tableau and Python
28-02-2022 09:30
14 heures
Tableau Advanced
22-03-2022 09:30
14 heures
Tableau for Developers
29-03-2022 09:30
21 heures
Visual Reporting and Analysis with Tableau
29-03-2022 09:30
14 heures
Other countries
Weekend Informatique Décisionnelle cours, Soir Informatique Décisionnelle formation, Informatique Décisionnelle stage d’entraînement, Informatique Décisionnelle formateur à distance, Informatique Décisionnelle formateur en ligne, Informatique Décisionnelle formateur Online, Informatique Décisionnelle cours en ligne, Informatique Décisionnelle cours à distance, Informatique Décisionnelle professeur à distance, Informatique Décisionnelle visioconférence, Informatique Décisionnelle stage d’entraînement intensif, Informatique Décisionnelle formation accélérée, Informatique Décisionnelle formation intensive, Formation inter Informatique Décisionnelle, Formation intra Informatique Décisionnelle, Formation intra Enteprise Informatique Décisionnelle, Formation inter Entreprise Informatique Décisionnelle, Weekend Informatique Décisionnelle formation, Soir Informatique Décisionnelle cours, Informatique Décisionnelle coaching, Informatique Décisionnelle entraînement, Informatique Décisionnelle préparation, Informatique Décisionnelle instructeur, Informatique Décisionnelle professeur, Informatique Décisionnelle formateur, Informatique Décisionnelle stage de formation, Informatique Décisionnelle cours, Informatique Décisionnelle sur place, Informatique Décisionnelle formations privées, Informatique Décisionnelle formation privée, Informatique Décisionnelle cours particulier, Informatique Décisionnelle cours particuliers
.png "european central bank (ecb)")
.png "new york stock exchange (nyse)")
_ireland.gif "environmental protection agency (epa) ireland")
.jpg "european southern observatory (eso)")
