Praktyczne szkolenia na żywo: Business Intelligence (BI) czyli Analityka Biznesowa, demonstrują poprzez praktyczne ćwiczenia, jak rozumieć, planować i wdrażać BI w organizacji
Szkolenie BI jest dostępne jako "szkolenie na miejscu" lub "szkolenie na żywo" Szkolenie na żywo w siedzibie klienta może odbywać się lokalnie w siedzibie klienta w Polsce lub w centrach szkoleniowych korporacji NobleProg w Polsce
Zdalne szkolenie online odbywa się za pomocą interaktywnego, zdalnego pulpitu DaDesktop .
NobleProg Twój lokalny dostawca szkoleń.
Opinie uczestników
Fakt, że dostaliśmy gotowe rozwiązania na zadane problemy + pokazanie szerokiego spektrum zastosowań + przekazane kompendium wiedzy.
Wojciech Michalak
Szkolenie: Power BI
Trener posiada bardzo szeroką wiedzę, potrafi ją przekazać. Angażuje uczestników do interakcji i wspólnego rozwiązywania napotkanych problemów.
Nina Rokita
Szkolenie: Power BI
Trener był w stałym kontakcie z odbiorcami szkolenia, dostosowywał tempo do naszych potrzeb i na bieżąco rozwiązywał nasze problemy i odpowiadał na nasze pytania
Dominika Jaworska
Szkolenie: Power BI
Szkolenie było bardzo spójne, dowiedziałam się o wielu ciekawych funkcjonalnościach programu.
Anna Klimczak
Szkolenie: Power BI
Dobrze przygotowane, przemyslane cwiczenia oraz wiedza prowadzacego
Sandra Przewdzing
Szkolenie: Power BI
Wykorzystanie data-integration
Waldemar Wisniewski
Szkolenie: Pentaho Business Intelligence (PBI) - moduły raportowe
wiedza trenera, dostępny sprzęt
Mariusz Moskal
Szkolenie: Pentaho Business Intelligence (PBI) - moduły raportowe
Przykłady wzbogacane danymi rzeczywistymi i scenariuszami przydatnymi w codziennej praktyce
Krzysztof Świątczak
Szkolenie: Pentaho Business Intelligence (PBI) - moduły raportowe
Podstawowe informacje pozwalajae na samodzielne rozpoczęcie pracy i uwagi dot. optymalizacji podejścia
Robert Kaźmierczak
Szkolenie: Microsoft Office Excel - moduł Business Intelligence
Szkolenie było prowadzone od podstaw co pozwoliło dla osób nie znających systemu na sprawniejsze poruszanie się w aplikacji. Dodatkowe ćwiczenia na naszych przykładach tez były wartością dodaną.
Rafał Starus - TUiR WARTA S.A
Szkolenie: JasperSoft BI
Podejście prowadzącego. Dobry dydaktyk
Krzysztof Zimerman - CREDIT SUISSE (Poland) Sp. Z o.o.
Szkolenie: Visual Reporting and Analysis with Tableau
Dużo nowych informacji o łączeniu się z bazami etc.
CREDIT SUISSE (Poland) Sp. Z o.o.
Szkolenie: Visual Reporting and Analysis with Tableau
kompetencje prowadzącej, pytania nie pozostały bez odpowiedzi
Wojciech Hudyka - IGT Poland Sp. z o.o.
Szkolenie: Tableau for Developers
zrozumiały sposób przekazywania wiedzy, duża ilość praktycznych ćwiczeń
Szkolenie: Power BI
pokazywanie zagadnień, z którymi możemy spotkać się w naszej pracy.
Ośrodek Przetwarzania Informacji - PIB
Szkolenie: Praca z Oracle BI i BI Publisher
Swoboda komunikacji oraz otwartość trenera, ćwiczenia oparte na realnych przykładach/danych. Dodatkowo podobało mi się to, że jeśli ktoś zadawał pytanie to trener odpowiadał na wszystkie. Godne pochwały jest również powrócenie do jednego z problemów na następny dzień, by przedstawić różne możliwości rozwiązania tego problem/.
Artur Niestój - HSBC Service Delivery (Polska) Sp. z o.o.
Szkolenie: Data analysis with Tableau
Ćwiczenia praktyczne w zakresie wizualizacji.
Magdalena Piorunek - HSBC Service Delivery (Polska) Sp. z o.o.
Szkolenie: Data analysis with Tableau
Fakt, ze szkolenie bylo dopasowane do naszych wymagan, ktore przedstawilismy przed rozpoczeciem. Dodatkowo, trener poruszal lub rozwijal zagadnienia, ktore byly wybierane na biezaco jako dodatkowe lub bardziej interesujace dla nas.
BNY Mellon (Poland) Sp. z o. o.
Szkolenie: JasperReports
spersonalizowanie szkolenia dla uczestników
EduBroker Sp. z o.o.
Szkolenie: QlikView for Developers
zaangażowanie
Volkswagen Poznan Sp. z o.o.
Szkolenie: Getting Started with Apache Superset
brak sztywnego schematu
Bartłomiej Waraczyński - Volkswagen Poznan Sp. z o.o.
Szkolenie: Getting Started with Apache Superset
Sposób przekazywania wiedzy i tłumaczenie zagadnień.
Anna Julia Solås
Szkolenie: Power BI
Praktyczne przykłady. Odpowiedzi na pytania uczestników (również te spoza zakresu szkolenia)
Marcin Laskowski - Polska Agencja Rozwoju Przedsiębiorczości
Szkolenie: JasperReports
brak uwag
Polska Agencja Rozwoju Przedsiębiorczości
Szkolenie: JasperReports
Wiedza wykładowcy i reagowanie na każde nasze pytanie. Nawet gdy nie wiedział lub zapomniał pewnej funkcjonalności, to z zaangażowaniem jej szukał
Jędrzej Scelina - SMART Project Rokicki Śliwka Sp.j.
Szkolenie: Tableau Fundamentals
Duża ilość przykładów i dopasowanie do grupy
SMART Project Rokicki Śliwka Sp.j.
Szkolenie: Tableau Fundamentals
Elastyczność prowadzącego - dostosowanie szkolenia do potrzeb uczestników.
SMART Project Rokicki Śliwka Sp.j.
Szkolenie: Tableau Fundamentals
To, że cały czas miało się styczność z narzędziem
SMART Project Rokicki Śliwka Sp.j.
Szkolenie: Tableau Fundamentals
Ćwiczenia wykonywane samodzielnie (bez podpowiedzi od samego początku).
SMART Project Rokicki Śliwka Sp.j.
Szkolenie: Tableau Fundamentals
Praca w tablo
SMART Project Rokicki Śliwka Sp.j.
Szkolenie: Tableau Fundamentals
Trening 1-1 mozliwosc dopasowania zadan i tematow.
Hsbc service delivery polska
Szkolenie: Tableau Advanced
Indywidualne podejście do klienta (miałem szkolenie sam na sam) Pozwoliło mi to zrealizować program szkolenia w krótszym czasie i skupić się na rzeczach, które mnie szczególnie interesowały!
Piotr Łyczewski - HSBC Service Delivery (Polska) Sp. z o.o.
Szkolenie: Tableau Advanced
Pan prowadzący bardzo sumiennie tlumaczyl kazde zagadnienie i cwieczenia
Beata Baran - HSBC Service Delivery (Polska) Sp. z o.o.
Szkolenie: Tableau Advanced
Interesujace tresci zadan.
HSBC Service Delivery
Szkolenie: Tableau Advanced
zrozumiały sposób przekazywania wiedzy, duża ilość praktycznych ćwiczeń
Szkolenie: Power BI
Plany szkoleń z technologii Business Intelligence
Nazwa kursu
Czas trwania
Opis
Nazwa kursu
Czas trwania
Opis
7 godzin
This instructor-led, live training in w Polsce (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 godzin
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 godzin
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 godzin
Pentaho jest produktem dystrybuowanym na zasadzie licencji Open Source, który dostarcza pełnej gamy rozwiązań dla biznesu w obszarze Business Intelligence, włączając w to raportowanie, analizy danych, kokpity managerskie i integrację danych.
Dzięki platformie Pentaho poszczególne komórki biznesu uzyskują dostęp do szerokiego wachlarza cennych informacji, począwszy od analiz sprzedaży i opłacalności poszczególnych klientów czy produktów, poprzez raportowanie na potrzeby HR i działów finansowych, aż do dostarczania informacji zbiorczych na potrzeby kierownictwa wyższego szczebla.
Dzięki platformie Pentaho poszczególne komórki biznesu uzyskują dostęp do szerokiego wachlarza cennych informacji, począwszy od analiz sprzedaży i opłacalności poszczególnych klientów czy produktów, poprzez raportowanie na potrzeby HR i działów finansowych, aż do dostarczania informacji zbiorczych na potrzeby kierownictwa wyższego szczebla.
21 godzin
Pentaho jest produktem dystrybuowanym na zasadzie licencji Open Source, który dostarcza pełnej gamy rozwiązań dla biznesu w obszarze Business Intelligence, włączając w to raportowanie, analizy danych, kokpity managerskie i integrację danych.
Dzięki platformie Pentaho poszczególne komórki biznesu uzyskują dostęp do szerokiego wachlarza cennych informacji, począwszy od analiz sprzedaży i opłacalności poszczególnych klientów czy produktów, poprzez raportowanie na potrzeby HR i działów finansowych, aż do dostarczania informacji zbiorczych na potrzeby kierownictwa wyższego szczebla.
Szkolenie jest adresowane do programistów, architektów oraz administratorów aplikacji, którzy chcą tworzyć lub utrzymywać procesy ekstrakcji, transformacji i ładowania danych (ETL) z wykorzystaniem Pentaho Data Integration (PDI).
Po szkoleniu uczestnik nabędzie umiejętności związane z:
- instalacją i konfiguracją środowiska Pentaho,
- projektowaniem, implementowaniem, monitorowaniem, uruchamianiem i strojeniem procesów ETL,
- pracy z danymi w PDI,
- wprowadzaniem różnych typów danych oraz różnych formatów danych
- filtrowaniem, grupowaniem oraz łączeniem danych
- harmonogramowaniem zadań,
- uruchamianiem transformacji,
- tworzeniu klastów.
Kurs ma zadanie przeprowadzić uczestnika od poziomu podstawowego do zaawansowanego.
Dzięki platformie Pentaho poszczególne komórki biznesu uzyskują dostęp do szerokiego wachlarza cennych informacji, począwszy od analiz sprzedaży i opłacalności poszczególnych klientów czy produktów, poprzez raportowanie na potrzeby HR i działów finansowych, aż do dostarczania informacji zbiorczych na potrzeby kierownictwa wyższego szczebla.
Szkolenie jest adresowane do programistów, architektów oraz administratorów aplikacji, którzy chcą tworzyć lub utrzymywać procesy ekstrakcji, transformacji i ładowania danych (ETL) z wykorzystaniem Pentaho Data Integration (PDI).
Po szkoleniu uczestnik nabędzie umiejętności związane z:
- instalacją i konfiguracją środowiska Pentaho,
- projektowaniem, implementowaniem, monitorowaniem, uruchamianiem i strojeniem procesów ETL,
- pracy z danymi w PDI,
- wprowadzaniem różnych typów danych oraz różnych formatów danych
- filtrowaniem, grupowaniem oraz łączeniem danych
- harmonogramowaniem zadań,
- uruchamianiem transformacji,
- tworzeniu klastów.
Kurs ma zadanie przeprowadzić uczestnika od poziomu podstawowego do zaawansowanego.
28 godzin
Pentaho jest produktem dystrybuowanym na zasadzie licencji Open Source, który dostarcza pełnej gamy rozwiązań dla biznesu w obszarze Business Intelligence, włączając w to raportowanie, analizy danych, kokpity managerskie i integrację danych.
Dzięki platformie Pentaho poszczególne komórki biznesu uzyskują dostęp do szerokiego wachlarza cennych informacji, począwszy od analiz sprzedaży i opłacalności poszczególnych klientów czy produktów, poprzez raportowanie na potrzeby HR i działów finansowych, aż do dostarczania informacji zbiorczych na potrzeby kierownictwa wyższego szczebla.
Dzięki platformie Pentaho poszczególne komórki biznesu uzyskują dostęp do szerokiego wachlarza cennych informacji, począwszy od analiz sprzedaży i opłacalności poszczególnych klientów czy produktów, poprzez raportowanie na potrzeby HR i działów finansowych, aż do dostarczania informacji zbiorczych na potrzeby kierownictwa wyższego szczebla.
35 godzin
Oracle BI Publisher to rozwiązanie do tworzenia i zarządzania raportami. Uczestnicy zapoznają się z rozwiązaniami BI ułatwiającymi przygotowanie i dystrybucję raportów w oparciu o różne źródła danych za pomoca interfejsu www.
14 godzin
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 godzin
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 godzin
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 godzin
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 godzin
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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
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 godzin
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 godzin
Szkolenie poświęcone jest podstawom tworzenia hurtowni danych bazujących na środowisku MS SQL Server 2008.
Uczestnik zdobędzie podstawy dotyczące projektowania i budowy hurtowni danych pracującej pod MS SQL Server 2008.
Zdobędzie wiedzę jak zbudować prosty proces ETL w oparciu o SSIS a następnie zaprojektować i zaimplementować kostkę danych za pomocą SSAS.
Uczestnik będzie potrafił zarządzać bazami OLAP: tworzenie i usuwanie baz OLAP, procesowanie partycji, modyfikacje on-line.
Uczestnik nabędzie wiedzę o skryptach XML/A i języku MDX.
Uczestnik zdobędzie podstawy dotyczące projektowania i budowy hurtowni danych pracującej pod MS SQL Server 2008.
Zdobędzie wiedzę jak zbudować prosty proces ETL w oparciu o SSIS a następnie zaprojektować i zaimplementować kostkę danych za pomocą SSAS.
Uczestnik będzie potrafił zarządzać bazami OLAP: tworzenie i usuwanie baz OLAP, procesowanie partycji, modyfikacje on-line.
Uczestnik nabędzie wiedzę o skryptach XML/A i języku MDX.
14 godzin
Kurs przeznaczony jest dla osób, które chciałyby się zapoznać oraz nauczyć korzystać z nowej funkcjonalności MS Excel 2013, przeznaczonego dla Business Inteligence.
21 godzin
In this instructor-led, live training in w Polsce, 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 godzin
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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
This instructor-led, live training in w Polsce (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 godzin
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
Last Updated:
Nadchodzące szkolenia z technologii Business Intelligence
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Apache Druid for Real-Time Data Analysis
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Cluster Analysis with R and SAS
22-03-2022 09:00
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SAS Programming
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Konsultacje
Szkolenie Business Intelligence, Business Intelligence boot camp, Szkolenia Zdalne Business Intelligence, szkolenie wieczorowe Business Intelligence, szkolenie weekendowe Business Intelligence, Kurs Business Intelligence,Kursy Business Intelligence, Trener Business Intelligence, instruktor Business Intelligence, kurs zdalny Business Intelligence, edukacja zdalna Business Intelligence, nauczanie wirtualne Business Intelligence, lekcje UML, nauka przez internet Business Intelligence, e-learning Business Intelligence, kurs online Business Intelligence, wykładowca Business Intelligence
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