현지의 강사 생방송 비즈니스 인텔리전스 (BI) 교육 과정은 조직 내에서 BI를 이해하고, 계획하고 구현하는 방법을 손자 실천을 통해 입증합니다 BI 교육은 "현장 실습"또는 "원격 실습"으로 제공됩니다 현장 실습은 고객 구내에서 현지에서 실시 할 수 있습니다 대한민국 또는 NobleProg 기업 교육 센터에서 대한민국 원격 라이브 교육은 대화 형 원격 데스크톱을 통해 수행됩니다 NobleProg 지역 교육 제공자.
Machine Translated
회원 평가
트레이너의 도움.
Urszula Kuza
Course: Tableau Advanced
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우리가 주어진 문제에 대한 해결책을 준비하고 광범위한 응용 프로그램을 보여줌으로써 지식의 개요를 통과 시켰습니다. Wojciech Michalak - UNILEVER POLAND SERVICES SP. Z O.O.
Wojciech Michalak
Course: Power BI
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재 훈련을 통해 배우는 유일한 방법이기 때문에 연습하십시오.
David Rushe
Course: Tableau Advanced
Machine Translated
트레이너는 매우 광범위한 지식을 가지고 있으며, 전달할 수 있습니다. 그것은 참가자들이 서로 마주 치는 문제들을 상호 작용하고 해결하는 것을 포함합니다.
Nina Rokita
Course: Power BI
Machine Translated
트레이너는 트레이닝 수혜자와 지속적으로 연락하고, 필요에 맞게 페이스를 조정했으며, 지속적으로 문제를 해결하고 질문에 대답했습니다 Dominika Jaworska - UNILEVER POLAND SERVICES SP. Z O.O.
Dominika Jaworska
Course: Power BI
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교육은 매우 일관 적이었고, 프로그램의 많은 흥미로운 기능에 대해 배웠습니다.
Anna Klimczak
Course: Power BI
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교사가 준비하고 연습 한 실습과 지식 Sandra Przewdzing - Unilev
Sandra Przewdzing
Course: Power BI
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Power BI에 대한보다 폭 넓은 범위를 제공하는 교육 기관입니다
Mohammed Al Ameer
Course: Power BI
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운동, 트레이너의 추가 팁, 요청시 더 많은 통찰력을 제공하는 유연성
Anna Alechno
Course: Power BI
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Power BI 가능성
British American Shared Services Europe
Course: Power BI
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파워 BI 웹 Q & A
Cristina Palii
Course: Power BI
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시각화 부분
Alexandra Grigoriu
Course: Power BI
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초보자로서 신뢰할 수있는 대시 보드 및 보고서를 작성하는 데 적절하고 유용한 모든 Power BI 테마를 다루고 있습니다
Gabriel Purghel
Course: Power BI
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나는 자기 중심주의와 외부 자원에 대한 읽기와 읽기에 중점을두고 초점을 맞추는 것을 좋아했습니다. 신청서를 2 일 이내에 배울 수 없으며 자습은 매우 중요합니다
Vlad Andrei Bucur
Course: Power BI
Machine Translated
트레이너는 질문에 답변하고 실제 사례에 대한 해결책을 제공하기 위해 열려있었습니다.
British American Shared Services Europe
Course: Power BI
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DAX 및보고 작업
Marine Benefits, Inc.
Course: Power BI for Business Analysts
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마지막 부분은 보안이다
Marine Benefits, Inc.
Course: Power BI for Business Analysts
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DAX
Chris Amaza - Marine Benefits, Inc.
Course: Power BI for Business Analysts
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훈련 운동
Edward Dan Dree Manalad - Marine Benefits, Inc.
Course: Power BI for Business Analysts
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교육은 처음부터 실시 되었기 때문에 시스템을 모르는 사람들이 응용 프로그램에서보다 효율적으로 탐색 할 수있었습니다. 우리 예제에 대한 추가 연습도 가치를 더했습니다.
Rafał Starus - TUiR WARTA S.A
Course: JasperSoft BI
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리더의 접근 방식. 좋은 교훈.
Krzysztof Zimerman - CREDIT SUISSE (Poland) Sp. Z o.o.
Course: Visual Reporting and Analysis with Tableau
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데이터베이스 등과의 연결에 관한 많은 새로운 정보 ..
CREDIT SUISSE (Poland) Sp. Z o.o.
Course: Visual Reporting and Analysis with Tableau
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교사의 역량, 답이없는 질문 없음
Wojciech Hudyka - IGT Poland Sp. z o.o.
Course: Tableau for Developers
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도구 사용법 배우기
JOSÉ ALBERTO PABELLO ALAMILLA - Walmart
Course: Tableau Avanzado
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계산 된 필드 및 다른 용도
HUMBERTO IBARRA GARCIA - Walmart
Course: Tableau Avanzado
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지식을 전달하는 이해할 수있는 방법, 실용적인 운동의 많은
Course: Power BI
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나는 나의 필요와 지식에 대한 적응을 좋아했다.
Rio TInto
Course: Power BI para Desarrolladores
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Tableau 에 대한 지식은 탄탄한 방식으로 "구축되었습니다". 트레이너가 Tableau 초보자를 가장 잘 소개하는 방법을 알고 있었기 때문에 매우 쉬워 보입니다.
Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Fundamentals
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강사가 떠나서 그가 모르는 질문에 대한 답을 찾았습니다.
Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Fundamentals
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나는 진실로 그 주제에서 유익했다.
Bristol City Council
Course: Power BI
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트레이너에 대한 지식은 정말 좋았으며 제품에 관한 질문에 대답 할 수있었습니다.
Bristol City Council
Course: Power BI
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나는 대부분 Gantt 차트에 대해 배우는 데서 이익을 얻었습니다.
Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Advanced
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트레이너는 세련되고, 우리의 작업에 대한 배경이 0 임에도 불구하고 코스에 대한 방대한 지식을 사용하여 데이터를 가지고 놀 수있었습니다.
Mc Gyver Pascua - Sykes Asia, Inc.
Course: Power BI
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Power BI 학습 경험을 즐겼습니다.
Sykes Asia, Inc.
Course: Power BI
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레이아웃 전에 원시 데이터의 준비.
Ayie Delos Santos - Sykes Asia, Inc.
Course: Power BI
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나는 대부분의 DAX 기능 주제와 부적절한 결과를 해결하려는 강사의 열망을 좋아하지만 잠재 고객의 이해 수준에 따라 말합니다.
Anabelle Anore - Sykes Asia, Inc.
Course: Power BI
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나는 Jonathan이 제공 한 강의의 실제 적용에 대해 즐겼다.
Sykes Asia, Inc.
Course: Power BI
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이 도구는 매우 흥미 롭습니다.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
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매우 실용적인, 우리의 내부 데이터를 사용하여 연습.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
Machine Translated
교육 주제에 대해 명확하고 체계적으로 정리합니다. 현명한 대시 보드 및 보고서를 만들 수있는 PowerBI를 사용한 적이없는 사람들에게 좋습니다 ..
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
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의사 소통의 자유와 트레이너의 개방성, 실제 예 / 데이터를 기반으로 한 운동. 또한, 누군가가 질문을하면 트레이너가 그들 모두에게 대답한다는 사실이 마음에 들었습니다. Go 칭찬도이 문제의 /를 해결하기 위해 다양한 옵션을 제시 할 수있는 문제 중 하나가 다음날로의 회귀이다 조정합니다.
Artur Niestój - HSBC Service Delivery (Polska) Sp. z o.o.
Course: Data analysis with Tableau
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시각화 분야의 실제 연습.
Magdalena Piorunek - HSBC Service Delivery (Polska) Sp. z o.o.
Course: Data analysis with Tableau
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연수생의 요청이있을 때 주제를 전환 할 수있는 좋은 설명과 기능이 도움이되었습니다.
McArthurGlen
Course: Power BI
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나는 주로 매우 활기차고 편안함을 즐겼다.
Rey Jasper Matias - Sykes Asia, Inc.
Course: Power BI
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트레이너는 가능한 한 최선을 다해 청중의 요구를 경청하고 필요에 맞게 훈련 할 수 있었으며 코스타스는 고급 교육을위한 기본 교육에 관해 질문하는 질문을 중심으로 소재를 준비했으며 많은 노력과 노력이있었습니다 그리고 그것은 인정 받았다.
Chloe Horton - Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Advanced
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시작하기 전에 우리가 도입 한 우리의 요구 사항에 맞게 교육이 이루어 졌다는 사실. 또한 트레이너는 지속적으로 우리에게 더 흥미롭고 흥미로운 것으로 선택된 문제를 제기하거나 개발했습니다.
BNY Mellon (Poland) Sp. z o. o.
Course: JasperReports
Machine Translated
제품 지식의 관점에서, 그는 질문에 답하기 위해 정말 지식이 풍부 하 고 개방적입니다.
Cherry Espinili - Infinit-O Manila
Course: Tableau Fundamentals
Machine Translated
나는 대부분 연습과 샘플의 경우 혜택 이었다.
Ann Olano - Infinit-O Manila
Course: Tableau Fundamentals
Machine Translated
교육은 우리의 필요와 지식에 따라 훈련을 조정 합니다. 그는 참가자 들의 Power BI 경험을 이해 했습니다.
Cristian Tudor - Gilbarco ACIS SRL
Course: Creating Dashboards Using Microsoft Power BI
Machine Translated
MS 엑셀과 유사성을가지고 있지만 새로운 제품을 배우는 것은 흥미로운 것은 물론 여러 측면에서 다른
Recep Köroglu - European Patent Office
Course: Tableau Fundamentals
Machine Translated
지식을 전달하는 이해할 수있는 방법, 실용적인 운동의 많은
Course: Power BI
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Business Intelligence코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
35 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
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 시간
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 시간
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 시간
Overview
Tableau helps people see and understand data.
14 시간
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 시간
Overview
In this instructor-led, live training in 대한민국, 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 시간
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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
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 시간
Overview
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 시간
Overview
In this instructor-led, live training in 대한민국 (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 시간
Overview
In this instructor-led, live training in 대한민국, 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 시간
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 시간
Overview
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.
This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
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.
This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
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.
향후Business Intelligence 코스
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21 hours
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Consulting
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