I corsi di formazione di Business Intelligence (BI) locali, istruttori, dimostrano attraverso la pratica pratica come capire, pianificare e implementare la BI all'interno di un'organizzazione La formazione BI è disponibile come "allenamento dal vivo in loco" o "allenamento dal vivo a distanza" La formazione on-site in loco può essere svolta localmente presso la sede del cliente in Italia o nei centri di formazione aziendale NobleProg in Italia La formazione in remoto dal vivo viene effettuata tramite un desktop remoto interattivo NobleProg Il tuo fornitore di formazione locale.
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Recensioni
Ho davvero apprezzato l'aiuto dell'istruttore.
Urszula Kuza
Corso: Tableau Advanced
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Il fatto che abbiamo trovato soluzioni pronte per problemi specifici + mostrando una vasta gamma di applicazioni + ha superato un compendio di conoscenze.
Wojciech Michalak
Corso: Power BI
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Mi sono piaciuti gli esercizi in quanto è l'unico modo per imparare, per ripetizione.
David Rushe
Corso: Tableau Advanced
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L'allenatore ha una conoscenza molto ampia, può trasmetterlo. Coinvolge i partecipanti a interagire e risolvere i problemi incontrati insieme.
Nina Rokita
Corso: Power BI
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Il formatore era in costante contatto con i destinatari della formazione, adattato il ritmo alle nostre esigenze e risolto i nostri problemi su base continuativa e ha risposto alle nostre domande
Dominika Jaworska
Corso: Power BI
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La formazione è stata molto coerente, ho appreso molte funzionalità interessanti del programma.
Anna Klimczak
Corso: Power BI
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Esercizi ben preparati, praticati e conoscenza dell'insegnante
Sandra Przewdzing
Corso: Power BI
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Offrendo un ambito più approfondito su Power BI più di qualsiasi altro istituto di formazione a cui mi sono imbattuto.
Mohammed Al Ameer
Corso: Power BI
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Esercizi, consigli aggiuntivi del formatore, flessibilità per aggiungere ulteriori approfondimenti quando richiesto.
Anna Alechno
Corso: Power BI
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Mi è piaciuta soprattutto la possibilità della BI di potenza.
British American Shared Services Europe
Corso: Power BI
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Generalmente ho tratto beneficio dal Web Power-Q.
Cristina Palii
Corso: Power BI
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Mi è davvero piaciuta la parte di visualizzazione.
Alexandra Grigoriu
Corso: Power BI
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Buona copertura di tutti i temi di Power BI pertinenti e utili per creare dashboard e report affidabili come principianti.
Gabriel Purghel
Corso: Power BI
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Mi è piaciuta la messa a fuoco e l'enfasi sull'autoapprendimento, la riproduzione e la lettura di risorse esterne. Nessuna applicazione può essere insegnata in 2 giorni e lo studio individuale è molto importante.
Vlad Andrei Bucur
Corso: Power BI
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Il formatore era aperto a rispondere alle domande e fornire soluzioni ai nostri esempi reali.
British American Shared Services Europe
Corso: Power BI
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Ho davvero avuto il vantaggio di lavorare con DAX e reporting.
Marine Benefits, Inc.
Corso: Power BI for Business Analysts
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L'ultima parte che è la sicurezza.
Marine Benefits, Inc.
Corso: Power BI for Business Analysts
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Mi è piaciuto molto il dax.
Chris Amaza - Marine Benefits, Inc.
Corso: Power BI for Business Analysts
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Mi è piaciuto molto l'esercizio di allenamento.
Edward Dan Dree Manalad - Marine Benefits, Inc.
Corso: Power BI for Business Analysts
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La formazione è stata condotta da zero, il che ha consentito alle persone che non conoscono il sistema di navigare nell'applicazione in modo più efficiente. Altri esercizi sui nostri esempi sono stati anche un valore aggiunto.
Rafał Starus - TUiR WARTA S.A
Corso: JasperSoft BI
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L'approccio del leader. Buona didattica.
Krzysztof Zimerman - CREDIT SUISSE (Poland) Sp. Z o.o.
Corso: Visual Reporting and Analysis with Tableau
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Un sacco di nuove informazioni sul collegamento con i database, ecc ..
CREDIT SUISSE (Poland) Sp. Z o.o.
Corso: Visual Reporting and Analysis with Tableau
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la competenza dell'insegnante, nessuna domanda rimasta senza risposta.
Wojciech Hudyka - IGT Poland Sp. z o.o.
Corso: Tableau for Developers
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Imparare a usare lo strumento
JOSÉ ALBERTO PABELLO ALAMILLA - Walmart
Corso: Tableau Avanzado
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I campi calcolati e diversi usi
HUMBERTO IBARRA GARCIA - Walmart
Corso: Tableau Avanzado
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modo comprensibile di trasmettere conoscenza, un gran numero di esercizi pratici
Corso: Power BI
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Mi è piaciuto l'adattamento che è stato apportato ai miei bisogni e alle mie conoscenze
Rio TInto
Corso: Power BI para Desarrolladores
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La conoscenza di Tableau stata "sviluppata" in modo solido, era chiaro che il trainer sapeva come presentare al meglio i neofiti di Tableau , questo lo ha reso molto facile.
Siemens Gamesa c/o Hemsley Fraser
Corso: Tableau Fundamentals
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L'allenatore se ne andò e trovò le risposte alle domande che non sapeva.
Siemens Gamesa c/o Hemsley Fraser
Corso: Tableau Fundamentals
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Ho davvero tratto beneficio dall'argomento.
Bristol City Council
Corso: Power BI
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La conoscenza del formatore è stata davvero buona e sono stati in grado di rispondere a qualsiasi domanda posta sul prodotto.
Bristol City Council
Corso: Power BI
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Ho soprattutto beneficiato dell'apprendimento delle classifiche di Gantt.
Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser
Corso: Tableau Advanced
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Il trainer è raffinato, è stato in grado di giocare con i nostri dati utilizzando la sua vasta conoscenza del corso, nonostante lo sfondo 0 con il nostro lavoro.
Mc Gyver Pascua - Sykes Asia, Inc.
Corso: Power BI
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Mi è piaciuta l'esperienza nell'apprendimento di Power BI.
Sykes Asia, Inc.
Corso: Power BI
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la preparazione dei dati grezzi prima del layout.
Ayie Delos Santos - Sykes Asia, Inc.
Corso: Power BI
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Mi piace di più l'argomento della funzione DAX così come l'entusiasmo del trainer per la risoluzione di output inappropriati, parla in base al suo livello di comprensione del pubblico.
Anabelle Anore - Sykes Asia, Inc.
Corso: Power BI
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Mi è piaciuta l'effettiva applicazione delle lezioni fornite dal Jonathan ..
Sykes Asia, Inc.
Corso: Power BI
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Lo strumento è molto interessante.
Pernod Ricard Hong Kong Limited
Corso: Power BI for Business Analysts
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molto pratico, utilizzando i nostri dati interni per esercitarsi.
Pernod Ricard Hong Kong Limited
Corso: Power BI for Business Analysts
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Chiaro e organizzato sugli argomenti di formazione. Ottimo per le persone che non hanno mai utilizzato PowerBI per creare cruscotti e report sensibili.
Pernod Ricard Hong Kong Limited
Corso: Power BI for Business Analysts
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Libertà di comunicazione e apertura del formatore, esercizi basati su esempi / dati reali. Inoltre, mi è piaciuto il fatto che se qualcuno avesse posto una domanda, il trainer avrebbe risposto a tutte. Go anche lodevole tornare a uno dei problemi il giorno successivo per presentare varie opzioni per risolvere questo problema.
Artur Niestój - HSBC Service Delivery (Polska) Sp. z o.o.
Corso: Data analysis with Tableau
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Esercitazioni pratiche nel campo della visualizzazione.
Magdalena Piorunek - HSBC Service Delivery (Polska) Sp. z o.o.
Corso: Data analysis with Tableau
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Ho tratto beneficio dalla buona spiegazione e dalla capacità di cambiare argomento quando richiesto dal tirocinante.
McArthurGlen
Corso: Power BI
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Mi è piaciuta soprattutto la vivacità e la facilità ..
Rey Jasper Matias - Sykes Asia, Inc.
Corso: Power BI
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Il formatore ha ascoltato le esigenze del suo pubblico nel miglior modo possibile e siamo stati in grado di addestrare in modo adeguato alle nostre esigenze, Costas ha preparato materiale specificamente intorno alle domande poste sulla formazione di base per la formazione avanzata, un sacco di sforzi e di lavoro sono stati messi in ed è stato apprezzato.
Chloe Horton - Siemens Gamesa c/o Hemsley Fraser
Corso: Tableau Advanced
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Il fatto che la formazione sia stata adattata alle nostre esigenze, che abbiamo introdotto prima di iniziare. Inoltre, il formatore ha sollevato o sviluppato problematiche che sono state scelte su base continuativa come ulteriori o più interessanti per noi.
BNY Mellon (Poland) Sp. z o. o.
Corso: JasperReports
Machine Translated
In termini di conoscenza del prodotto, è davvero ben informato e molto aperto a rispondere alle domande.
Cherry Espinili - Infinit-O Manila
Corso: Tableau Fundamentals
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Per lo più sono stato beneficiare degli esercizi e casi di campione.
Ann Olano - Infinit-O Manila
Corso: Tableau Fundamentals
Machine Translated
La formazione regola la formazione in base alle nostre esigenze e conoscenze. Ha capito i partecipanti esperienza con Power BI.
Cristian Tudor - Gilbarco ACIS SRL
Corso: Creating Dashboards Using Microsoft Power BI
Machine Translated
È emozionante imparare un nuovo prodotto anche se ha somiglianza con MS Excel è ovviamente diverso in molti aspetti
Recep Köroglu - European Patent Office
Corso: Tableau Fundamentals
Machine Translated
modo comprensibile di trasmettere conoscenza, un gran numero di esercizi pratici
Corso: Power BI
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Sottocategorie Business Intelligence
Schema generale del corso Business Intelligence
Nome del corso
Durata
Overview
Nome del corso
Durata
Overview
35 hours
Overview
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
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
Overview
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
Overview
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
Overview
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
Overview
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
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
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
Overview
This instructor-led, live training in Italia (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
Overview
This instructor-led, live training in Italia (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
Overview
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
Overview
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
Overview
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.
14 hours
Overview
Tableau helps people see and understand data.
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
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
21 hours
Overview
In this instructor-led, live training in Italia, 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
Overview
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
Overview
Tableau helps people see and understand data.
14 hours
Overview
This instructor-led, live training in Italia (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
Overview
This instructor-led, live training in Italia (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
Overview
This instructor-led, live training in Italia (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
Overview
This instructor-led, live training in Italia (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
Overview
Dashbuilder è un'applicazione Web open source per la creazione visiva di dashboard e report aziendali.
In questo corso di formazione dal vivo con istruttore, i partecipanti impareranno come creare dashboard e report Dashbuilder utilizzando Dashbuilder .
Al termine di questa formazione, i partecipanti saranno in grado di:
- Configurazione visiva e personalizzazione dei dashboard mediante il trascinamento della selezione
- Crea diversi tipi di visualizzazioni utilizzando le librerie di creazione di grafici
- Definire le tabelle dei report interattivi
- Crea e modifica KPI inline (Key Performance Indicator)
- Personalizza l'aspetto dei display metrici
Pubblico
- I gestori
- Gli analisti
Formato del corso
- Parte lezione, parte discussione, esercitazioni e esercitazioni pratiche
In questo corso di formazione dal vivo con istruttore, i partecipanti impareranno come creare dashboard e report Dashbuilder utilizzando Dashbuilder .
Al termine di questa formazione, i partecipanti saranno in grado di:
- Configurazione visiva e personalizzazione dei dashboard mediante il trascinamento della selezione
- Crea diversi tipi di visualizzazioni utilizzando le librerie di creazione di grafici
- Definire le tabelle dei report interattivi
- Crea e modifica KPI inline (Key Performance Indicator)
- Personalizza l'aspetto dei display metrici
Pubblico
- I gestori
- Gli analisti
Formato del corso
- Parte lezione, parte discussione, esercitazioni e esercitazioni pratiche
7 hours
Overview
Dashbuilder è un'applicazione web opensource per la creazione visiva di dashboard e report aziendali In questo corso di formazione dal vivo con istruttore, i partecipanti impareranno a configurare, configurare, integrare e distribuire Dashbuilder Alla fine di questa formazione, i partecipanti saranno in grado di: Estrai dati da fonti eterogenee come database JDBC e file di testo Utilizzare i connettori per connettersi a sistemi e piattaforme di terze parti come jBPM Configura ruoli, permessi e controlli di accesso per gli utenti Distribuire Dashbuilder in un ambiente di produzione dal vivo Pubblico Sviluppatori IT e architetti di sistema Formato del corso Lezione di parte, discussione parziale, esercitazioni e pratica intensiva .
21 hours
Overview
In this instructor-led, live training in Italia (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
Overview
In this instructor-led, live training in Italia, 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
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
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
7 hours
Overview
Microsoft Power BI è una suite SaaS (Software as a Service) gratuita per l'analisi dei dati e la condivisione di approfondimenti. Power BI dashboard di Power BI offrono una vista a 360 gradi delle metriche più importanti in un unico posto, aggiornate in tempo reale e disponibili su tutti i loro dispositivi.
Questa formazione dal vivo con istruttore (in loco o remoto) è rivolta a manager aziendali, analisti aziendali, analisti di dati, sviluppatori di report e team leader che desiderano progettare una dashboard Power BI perfetta.
Al termine di questa formazione, i partecipanti saranno in grado di:
- Progetta dashboard belli ed efficienti seguendo le regole fondamentali.
- Scegli i grafici giusti in base al tipo di dati da visualizzare.
Formato del corso
- Conferenza e discussione interattiva.
- Molti esercizi e pratiche.
- Implementazione pratica in un ambiente live-lab.
Opzioni di personalizzazione del corso
- Per richiedere una formazione personalizzata per questo corso, ti preghiamo di contattarci per organizzare.
Questa formazione dal vivo con istruttore (in loco o remoto) è rivolta a manager aziendali, analisti aziendali, analisti di dati, sviluppatori di report e team leader che desiderano progettare una dashboard Power BI perfetta.
Al termine di questa formazione, i partecipanti saranno in grado di:
- Progetta dashboard belli ed efficienti seguendo le regole fondamentali.
- Scegli i grafici giusti in base al tipo di dati da visualizzare.
Formato del corso
- Conferenza e discussione interattiva.
- Molti esercizi e pratiche.
- Implementazione pratica in un ambiente live-lab.
Opzioni di personalizzazione del corso
- Per richiedere una formazione personalizzata per questo corso, ti preghiamo di contattarci per organizzare.
Prossimi corsi Business Intelligence
30-08-2021 09:30
35 ore
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14 ore
09-09-2021 09:30
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22-09-2021 09:30
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Other countries
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