Os cursos de treinamento de BI (Business Intelligence) demonstram, por meio da prática, como entender, planejar e implementar BI dentro de uma organização. O treinamento de BI está disponível como "treinamento ao vivo no local" ou "treinamento remoto ao vivo" Treinamento ao vivo no local pode ser realizado nas instalações do cliente no Brasil ou nos centros de treinamento corporativo da NobleProg no Brasil O treinamento ao vivo remoto é realizado por meio de uma área de trabalho remota e interativa NobleProg seu provedor de treinamento local.
Declaração de Clientes
Eu realmente gostei da ajuda do treinador.
Urszula Kuza
Curso: Tableau Advanced
Machine Translated
O fato de termos preparado soluções para problemas determinados, mostrando uma ampla gama de aplicações + passou por um compêndio de conhecimento. W
Wojciech Michalak
Curso: Power BI
Machine Translated
Eu gostei dos exercícios, pois é a única maneira de aprender, por repetição.
David Rushe
Curso: Tableau Advanced
Machine Translated
O treinador tem um conhecimento muito amplo, ele pode transmiti-lo. Envolve participantes para interagir e resolver problemas encontrados.
Nina Rokita
Curso: Power BI
Machine Translated
O treinador estava em constante contato com os destinatários do treinamento, ajustou o ritmo às nossas necessidades e resolveu nossos problemas de forma contínua e respondeu às nossas perguntas
Dominika Jaworska
Curso: Power BI
Machine Translated
O treinamento foi muito consistente, eu aprendi sobre muitas funcionalidades interessantes do programa.
Anna Klimczak
Curso: Power BI
Machine Translated
Bem preparado, exercícios praticados e conhecimento do professor
Sandra Przewdzing
Curso: Power BI
Machine Translated
Oferecendo um escopo mais aprofundado sobre o Power BI mais do que qualquer instituto de treinamento com o qual me deparei.
Mohammed Al Ameer
Curso: Power BI
Machine Translated
Exercícios, dicas adicionais do treinador, flexibilidade para adicionar mais insights quando solicitado.
Anna Alechno
Curso: Power BI
Machine Translated
Eu gostei principalmente da possibilidade de poder BI.
British American Shared Services Europe
Curso: Power BI
Machine Translated
Eu geralmente me beneficiava do poder bi-web-Q.
Cristina Palii
Curso: Power BI
Machine Translated
Eu realmente gostei da parte de visualização.
Alexandra Grigoriu
Curso: Power BI
Machine Translated
Boa cobertura de todos os temas do Power BI relevantes e úteis para criar painéis e relatórios confiáveis como um iniciante.
Gabriel Purghel
Curso: Power BI
Machine Translated
Gostei do foco e da ênfase no auto-aprendizado, no brincar e na leitura de recursos externos. Nenhuma inscrição pode ser ensinada em 2 dias e o auto-estudo é muito importante.
Vlad Andrei Bucur
Curso: Power BI
Machine Translated
O treinador estava aberto para responder perguntas e fornecer soluções para nossos exemplos reais.
British American Shared Services Europe
Curso: Power BI
Machine Translated
Eu realmente me beneficiei de trabalhar com DAX e relatórios.
Marine Benefits, Inc.
Curso: Power BI for Business Analysts
Machine Translated
A última parte que é segurança.
Marine Benefits, Inc.
Curso: Power BI for Business Analysts
Machine Translated
Eu realmente gostei do dax.
Chris Amaza - Marine Benefits, Inc.
Curso: Power BI for Business Analysts
Machine Translated
Eu realmente gostei do exercício de treinamento.
Edward Dan Dree Manalad - Marine Benefits, Inc.
Curso: Power BI for Business Analysts
Machine Translated
O treinamento foi conduzido do zero, o que permitiu que pessoas que não conhecem o sistema navegassem no aplicativo com mais eficiência. Exercícios adicionais em nossos exemplos também foram adicionados valor.
Rafał Starus - TUiR WARTA S.A
Curso: JasperSoft BI
Machine Translated
Abordagem do líder. Boa didática.
Krzysztof Zimerman - CREDIT SUISSE (Poland) Sp. Z o.o.
Curso: Visual Reporting and Analysis with Tableau
Machine Translated
Muitas novas informações sobre conexão com bancos de dados, etc ..
CREDIT SUISSE (Poland) Sp. Z o.o.
Curso: Visual Reporting and Analysis with Tableau
Machine Translated
a competência do professor, sem perguntas deixadas sem resposta.
Wojciech Hudyka - IGT Poland Sp. z o.o.
Curso: Tableau for Developers
Machine Translated
Aprendendo a usar a ferramenta
JOSÉ ALBERTO PABELLO ALAMILLA - Walmart
Curso: Tableau Avanzado
Machine Translated
Os campos calculados e usos diferentes
HUMBERTO IBARRA GARCIA - Walmart
Curso: Tableau Avanzado
Machine Translated
maneira compreensível de passar conhecimento, um grande número de exercícios práticos
Curso: Power BI
Machine Translated
Gostei da adaptação que foi feita às minhas necessidades e conhecimentos
Rio TInto
Curso: Power BI para Desarrolladores
Machine Translated
O conhecimento do Tableau foi "construído" de uma maneira sólida, ficou claro que o treinador sabia a melhor maneira de introduzir novatos ao Tableau , isso fazia com que parecesse muito fácil.
Siemens Gamesa c/o Hemsley Fraser
Curso: Tableau Fundamentals
Machine Translated
Treinador foi embora e descobriu respostas para as perguntas que nós tínhamos que ele não sabia.
Siemens Gamesa c/o Hemsley Fraser
Curso: Tableau Fundamentals
Machine Translated
Eu genuinamente me beneficiei do assunto.
Bristol City Council
Curso: Power BI
Machine Translated
O conhecimento do treinador foi muito bom e eles foram capazes de responder a quaisquer perguntas feitas sobre o produto.
Bristol City Council
Curso: Power BI
Machine Translated
Eu principalmente me beneficiei de aprender sobre gráficos de Gantt.
Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser
Curso: Tableau Advanced
Machine Translated
Treinador é refinado, ele foi capaz de brincar com os nossos dados usando seu vasto conhecimento do curso, apesar do fundo com o nosso trabalho.
Mc Gyver Pascua - Sykes Asia, Inc.
Curso: Power BI
Machine Translated
Gostei da experiência em aprender o Power BI.
Sykes Asia, Inc.
Curso: Power BI
Machine Translated
a preparação dos dados brutos antes do layout.
Ayie Delos Santos - Sykes Asia, Inc.
Curso: Power BI
Machine Translated
Eu gosto mais do tópico da função DAX, bem como a ânsia do instrutor para resolver saída inadequada, ele fala com base no seu nível de compreensão do público ..
Anabelle Anore - Sykes Asia, Inc.
Curso: Power BI
Machine Translated
Gostei da aplicação real das palestras fornecidas pelo Jonathan.
Sykes Asia, Inc.
Curso: Power BI
Machine Translated
A ferramenta é muito interessante.
Pernod Ricard Hong Kong Limited
Curso: Power BI for Business Analysts
Machine Translated
muito prático, usando nossos dados internos para praticar.
Pernod Ricard Hong Kong Limited
Curso: Power BI for Business Analysts
Machine Translated
Clara e organizada nos tópicos de treinamento. Bom para pessoas com quem nunca usou o PowerBI para criar painéis e relatórios sensatos.
Pernod Ricard Hong Kong Limited
Curso: Power BI for Business Analysts
Machine Translated
Liberdade de comunicação e abertura do formador, exercícios baseados em exemplos / dados reais. Além disso, gostei do fato de que, se alguém fizesse uma pergunta, o treinador responderia a todos eles. Go também louvável retornar a um dos problemas do dia seguinte para apresentar várias opções para resolver este problema.
Artur Niestój - HSBC Service Delivery (Polska) Sp. z o.o.
Curso: Data analysis with Tableau
Machine Translated
Exercícios práticos no campo da visualização.
Magdalena Piorunek - HSBC Service Delivery (Polska) Sp. z o.o.
Curso: Data analysis with Tableau
Machine Translated
Eu fui beneficiado com a boa Explicação e habilidade de Trocar de Tópicos quando solicitado pelo estagiário.
McArthurGlen
Curso: Power BI
Machine Translated
Eu gostei principalmente do muito animado e facilidade ..
Rey Jasper Matias - Sykes Asia, Inc.
Curso: Power BI
Machine Translated
O formador escutou as necessidades do seu público da melhor forma possível e fomos capazes de treinar de acordo com as nossas necessidades, o Costas preparou material especificamente em torno das perguntas feitas na formação básica para o treino avançado, muito esforço e trabalho e foi apreciado.
Chloe Horton - Siemens Gamesa c/o Hemsley Fraser
Curso: Tableau Advanced
Machine Translated
O fato de que o treinamento foi adaptado às nossas necessidades, que introduzimos antes de começar. Além disso, o treinador levantou ou desenvolveu questões que foram escolhidas de forma contínua como adicionais ou mais interessantes para nós.
BNY Mellon (Poland) Sp. z o. o.
Curso: JasperReports
Machine Translated
Em termos de conhecimento do produto, ele é realmente conhecedor e muito aberto para responder a perguntas.
Cherry Espinili - Infinit-O Manila
Curso: Tableau Fundamentals
Machine Translated
Eu era principalmente benefício dos exercícios e casos da amostra.
Ann Olano - Infinit-O Manila
Curso: Tableau Fundamentals
Machine Translated
O treinamento ajusta o treinamento de acordo com nossas necessidades e conhecimento. Ele compreendeu a experiência dos participantes com o Power BI.
Cristian Tudor - Gilbarco ACIS SRL
Curso: Creating Dashboards Using Microsoft Power BI
Machine Translated
É emocionante aprender um novo produto, embora tenha semelhança com o MS Excel é, naturalmente, diferente em muitos aspectos
Recep Köroglu - European Patent Office
Curso: Tableau Fundamentals
Machine Translated
maneira compreensível de passar conhecimento, um grande número de exercícios práticos
Curso: Power BI
Machine Translated
Nossos Clientes
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.jpg "european southern observatory (eso)")
_ireland.gif "environmental protection agency (epa) ireland")
Subcategorias Inteligência Empresarial
Programas do curso Inteligência Empresarial
Nome do Curso
Duração
Visão geral
Nome do Curso
Duração
Visão geral
7 horas
This instructor-led, live training in Brasil (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 horas
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 horas
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 horas
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 horas
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 horas
Pentaho Open Source O BI Suite Community Edition (CE) é um pacote de inteligência comercial que fornece integração de dados, relatórios, painéis e recursos de carga.
Neste treinamento ao vivo conduzido por instrutor, os participantes aprenderão como maximizar os recursos do CE Community Edition (CE) Pentaho Open Source BI Suite.
No final deste treinamento, os participantes serão capazes de:
- Instalar e configurar o Pentaho Open Source BI Suite Community Edition (CE)
- Entenda os fundamentos das ferramentas Pentaho CE e seus recursos
- Crie relatórios usando o Pentaho CE
- Integre dados de terceiros no Pentaho CE
- Trabalhe com big data e análises no Pentaho CE
Público
Programadores
Desenvolvedores de BI
Formato do curso
Palestra, discussão, exercícios e prática
Nota
Para solicitar um treinamento personalizado para este curso, entre em contato conosco para agendar.
14 horas
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 horas
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 horas
This instructor-led, live training in Brasil (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 horas
This instructor-led, live training in Brasil (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 horas
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 horas
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 horas
O treinamento é dedicado as bases da criação do ambiente de armazem de dados baseado em MSSQL Server 2008.
Os participantes vão ter as bases para o design e construção do armazém de dados.
Ganhraáo também conhecimentos em como construir um simples processo ETL baseado em SSIS e então desenhar e implementar um data cube utilizando SSAS.
O participante poderá manejar OLAP databse: criar e deletar OLAP database, processando mudanças de partição online.
O participante ganhará conhecimento de scripting XML / A e MDX
Os participantes vão ter as bases para o design e construção do armazém de dados.
Ganhraáo também conhecimentos em como construir um simples processo ETL baseado em SSIS e então desenhar e implementar um data cube utilizando SSAS.
O participante poderá manejar OLAP databse: criar e deletar OLAP database, processando mudanças de partição online.
O participante ganhará conhecimento de scripting XML / A e MDX
21 horas
In this instructor-led, live training in Brasil, 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 horas
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 horas
This instructor-led, live training in Brasil (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 horas
This instructor-led, live training in Brasil (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 horas
This instructor-led, live training in Brasil (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 horas
This instructor-led, live training in Brasil (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 horas
This instructor-led, live training in Brasil (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 horas
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 horas
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 horas
O Microsoft Power BI é uma suíte gratuita de Software como Serviço (SaaS) para análise de dados e compartilhamento de informações. Os painéis de bordo do Power BI oferecem uma visão de 360 graus das métricas mais importantes em um só lugar, atualizadas em tempo real e disponíveis em todos os seus dispositivos.
Nessa formação treinada por instrutor e ao vivo, os participantes aprenderão a usar o Microsoft Power Bi para analisar e visualizar dados usando uma série de conjuntos de dados de amostra.
Ao final deste treinamento, os participantes serão capazes de:
- Crie painéis visualmente atraentes que forneçam informações valiosas sobre os dados
- Obter e integrar dados de múltiplas fontes
- Crie e compartilhe visualizações com os membros da equipe
- Ajustar dados com o Power BI Desktop
Público
- Gerentes de negócios
- Analistas de negócios
- Analistas de dados
- Equipes de Business Intelligence (BI) e Data Warehouse (DW)
- Desenvolvedores de relatórios
Formato do curso
- Palestras em parte, discussão parcial, exercícios e prática prática pesada.
Nessa formação treinada por instrutor e ao vivo, os participantes aprenderão a usar o Microsoft Power Bi para analisar e visualizar dados usando uma série de conjuntos de dados de amostra.
Ao final deste treinamento, os participantes serão capazes de:
- Crie painéis visualmente atraentes que forneçam informações valiosas sobre os dados
- Obter e integrar dados de múltiplas fontes
- Crie e compartilhe visualizações com os membros da equipe
- Ajustar dados com o Power BI Desktop
Público
- Gerentes de negócios
- Analistas de negócios
- Analistas de dados
- Equipes de Business Intelligence (BI) e Data Warehouse (DW)
- Desenvolvedores de relatórios
Formato do curso
- Palestras em parte, discussão parcial, exercícios e prática prática pesada.
28 horas
O Microsoft Power BI é uma suíte gratuita de Software como Serviço (SaaS) para análise de dados e compartilhamento de informações. Os painéis de bordo do Power BI oferecem uma visão de 360 graus das métricas mais importantes em um só lugar, atualizadas em tempo real e disponíveis em todos os seus dispositivos.
Nessa formação os participantes aprenderão a usar o Power BI para desenvolver soluções de software customizadas para as plataformas Power BI e Azure.
Ao final deste treinamento, os participantes serão capazes de:
- Configurar painéis de controle em tempo real
- Crie visualizações personalizadas
- Integre análises ricas em aplicativos existentes
- Incorporar relatórios interativos e visuais em aplicativos existentes
- Acesse dados de um aplicativo
- Master Power BI Portal, Desktop, Embedded and Rest API
- Integre R Scripts no Power BI Desktop
Público
- Desenvolvedores
- Arquitetos
Formato do curso
- Palestras em parte, discussão parcial, exercícios e prática prática pesada.
Nessa formação os participantes aprenderão a usar o Power BI para desenvolver soluções de software customizadas para as plataformas Power BI e Azure.
Ao final deste treinamento, os participantes serão capazes de:
- Configurar painéis de controle em tempo real
- Crie visualizações personalizadas
- Integre análises ricas em aplicativos existentes
- Incorporar relatórios interativos e visuais em aplicativos existentes
- Acesse dados de um aplicativo
- Master Power BI Portal, Desktop, Embedded and Rest API
- Integre R Scripts no Power BI Desktop
Público
- Desenvolvedores
- Arquitetos
Formato do curso
- Palestras em parte, discussão parcial, exercícios e prática prática pesada.
14 horas
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:
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