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Clustering data (and machine learning) (3-3b)
 
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This video is part of the Analyzing and Visualizing Data with Power BI course available on EdX.  To sign up for the course, visit: http://aka.ms/pbicourse. To read more: Power BI service https://aka.ms/pbis_gs Power BI Desktop https://aka.ms/pbid_gs Power BI basic concepts tutorial: https://aka.ms/power-bi-tutorial To submit questions and comments about Power BI, please visit community.powerbi.com. To submit questions and comments about Power BI, please visit community.powerbi.com.
Views: 22200 Microsoft Power BI
Data Mining & Business Intelligence | Tutorial #26 | OPTICS
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #OPTICS Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj OPTICS is a density based clustering technique in data mining for identifying arbitrary shaped clusters. Watch Now ! OPTICS هي تقنية تجميع تعتمد على الكثافة في التنقيب عن البيانات لتحديد المجموعات العشوائية. شاهد الآن ! ОПТИКА - это метод кластеризации на основе плотности при добыче данных для идентификации кластеров произвольной формы. Смотри ! OPTICS es una técnica de agrupación basada en la densidad en la minería de datos para identificar clusters con formas arbitrarias. Ver ahora ! OPTICS ist eine dichte-basierte Clustering-Technik im Data Mining zur Identifizierung beliebig geformter Cluster. Schau jetzt ! OPTICS est une technique de clustering basée sur la densité dans l'exploration de données pour identifier des groupes de formes arbitraires. Regarde maintenant ! OPTICS é uma técnica de clustering baseada em densidade em mineração de dados para identificar clusters de forma arbitrária. Assista agora ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 1471 Ranji Raj
Philip Evans: How data will transform business
 
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What does the future of business look like? In an informative talk, Philip Evans gives a quick primer on two long-standing theories in strategy — and explains why he thinks they are essentially invalid. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 236016 TED
Tutoriel Big Data : Comprendre les différences avec la BI | video2brain.com
 
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Formation complète : http://bit.ly/2tkB1dK Le Big Data est parfois assimilé à de l'information décisionnelle, ou BI (Business Intelligence). Partez à la découverte de ce qui différencie ces deux notions. Ce tutoriel est un extrait de la formation intitulée « Les fondements du Big Data » , réalisée par le formateur expert Rudi Bruchez chez video2brain.com.
Data Mining & Business Intelligence | Tutorial #32 | BI Decisions
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #BusinessIntelligence #BIDecisions Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj Decisions in Business Intelligence are categorized based upon their Nature and Scope. Watch Now ! يتم تصنيف القرارات في ذكاء الأعمال على أساس طبيعتها ونطاقها. شاهد الآن ! Decisões em Business Intelligence são categorizadas com base em sua natureza e escopo. Assista agora ! Les décisions en matière de Business Intelligence sont classées en fonction de leur nature et de leur portée. Regarde maintenant ! Las decisiones en Business Intelligence están categorizadas según su naturaleza y alcance. Ver ahora ! Entscheidungen in Business Intelligence werden nach Art und Umfang kategorisiert. Schau jetzt ! Решения в области бизнес-аналитики классифицируются на основе их Природы и Сферы. Смотри ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 470 Ranji Raj
Data Mining
 
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Entrevista com os professores Wagner Meira Jr e Mohammed Zaki
Data Mining & Business Intelligence | Tutorial #23 | Kmeans Algorithm (Solved Problem)
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #KmeansAlgorithm Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj Concerned about how to solve a problem on Kmeans in Data Mining for clustering well watch this video. Watch Now ! تشعر بالقلق إزاء كيفية حل مشكلة على Kmeans في استخراج البيانات لتجميع جيد مشاهدة هذا الفيديو. شاهد الآن ! Bedenken Sie, wie Sie ein Problem bei Kmeans in Data Mining für Clustering lösen können. Sehen Sie sich dieses Video an. Schau jetzt ! Préoccupé par la façon de résoudre un problème sur les Kmeans dans Data Mining for clustering bien regarder cette vidéo. Regarde maintenant ! Preocupado acerca de cómo resolver un problema en Kmeans en Data Mining para la agrupación, vea este video. Ver ahora ! Обеспокоена тем, как решить проблему с Kmeans в Data Mining для кластеризации, хорошо просматривайте это видео. Смотри ! Preocupado com a forma de resolver um problema em Kmeans em Data Mining para clustering, veja este vídeo. Assista agora ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 737 Ranji Raj
EM Configuration
 
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In this video, you will learn how to configure MicroStrategy Enterprise Manager.
Data Warehouse (O que é, caracteristicas, exemplo)
 
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Data Warehouse é utilizado para armazenar informações relativas às atividades de uma organização de forma consolidada. Possibilita a análise de grandes volumes de dados, que são coletados a partir de sistemas transacionais (OLTP – Online Transaction Processing). Data Warehouse é um Banco de dados organizado para dar suporte à tomada de decisões estratégicas da empresa. Enquanto o Data Warehouse usa dados de toda a corporação, os chamados data marts têm objetivo idêntico, mas em geral tratam apenas um assunto ou processo de negócio. Um Data Warehouse é, muitas vezes, conhecido somente como um imenso banco de dados capaz de armazenar milhões de registros. Contudo, ele não consiste somente nisso, existem outras importantes características que fazem do Data Warehouse um poderoso aliado da organização. - Organização; - Consistência; - Variedade de tempo; - Não-volatibilidade; - Estrutura relacional; - Arquitetura cliente/servidor. Exemplo de Data Warehouse: Qlik Sense Site do Canal TI: https://www.canalti.com.br • Gostou ? Like/Fav • Quer acompanhar ? Inscreva-se - http://goo.gl/T2hIZN
Views: 16612 Canal TI
Big Data Analysis and Artificial Intelligence
 
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Maruti Techlabs has a solution for the 'Big Data' problem which involves Artificial Intelligence. The solution also uses text analytics and Natural Language Processing to establish relationship among words and finds keywords to match the user input. Visit our website for more details- http://www.marutitech.com/ You can also find us on: Twitter - https://twitter.com/MarutiTech LinkedIn - http://buff.ly/1QCoBS3 Facebook - https://www.facebook.com/marutitech
BUSINESS INTELLIGENCE FRAMEWORK
 
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Baixar Infográfico: http://bit.ly/2OzPXjq
Views: 10625 Rafael Piton
Data Science vs Big Data vs Data Analytics | Simplilearn
 
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Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012. An article by Forbes states that Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Which makes it extremely important to at least know the basics of the field. After all, here is where our future lies. In this video, we will differentiate between the Data Science, Big Data, and Data Analytics, based on what it is, where it is used, the skills you need to become a professional in the field, and the salary prospects in each field. For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 179969 Simplilearn
Business Intelligence - O que é BI [Business Intelligence]
 
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Você sabe o que é BI ou Business Intelligence. Neste vídeo aprenda o que é BI ou Business Intelligence. Business Intelligence - O que é BI [Business Intelligence] BI pode ser definido como um conjunto de técnicas e ferramentas que possibilitam a consolidação e geração de valores/métricas com o fim de apoio a decisão. Se você é um profissional que quer conhecer mais sobre BI, seus conceitos e técnicas ou se você está se preparando para concursos que envolvam esta disciplina de Business Intelligence (BI) te convido a conhecer o Resumo BI. Resumo BI para Profissionais e Concursandos: Acesse: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBRESUMOBI1 -------------------------------------------------------------------------------------------------------- 👉👉 Curso SQL na Prática para INICIANTES APRENDER do ZERO https://www.udemy.com/sql-pratica-oracle-simples-facil-rapido/?couponCode=YTBBF2018 👉👉 Curso Oracle SQL e PL/SQL na PRÁTICA SEM SEGREDOS https://www.udemy.com/curso-sql-e-plsql-para-iniciantes-na-pratica-sem-segredos/?couponCode=YTBBF2018 👉👉 Curso SQL sem COMPLICAÇÃO e TALEND para ETL na PRÁTICA https://www.udemy.com/curso-sql-sem-complicacao-e-talend-integracao-para-etl-na-pratica/?couponCode=LANCAMENTOYTB 👉👉 Resumo BI para Profissionais e Concursandos: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBBF2018 👉👉Business Intelligence na Teoria + Analytics Data Discovery https://www.udemy.com/business-intelligence-tableau-power-bi-odv-qliksense/?couponCode=YTBBF2018 São muitos os termos, técnicas e estratégias envolvidos no conceito de BI, dentre elas temos: - Datamart; - Data Warehouse; - Data Mining; - ETL; - Metadata; - O mais novo e muito falado " Big Data " - E um mundo de outros conceitos e técnicas. Site: http://www.juracyalmeida.com Resumo BI: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBRESUMOBI1 Meu Curso SQL para Oracle: http://www.aprendavirtual.com/courses/sql-para-oracle/ Se inscreva em nosso canal: https://www.youtube.com/channel/UC9x53qtj4ExOtBavStxf2NA
Views: 3225 Juracy Almeida
R tutorial: What is text mining?
 
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Learn more about text mining: https://www.datacamp.com/courses/intro-to-text-mining-bag-of-words Hi, I'm Ted. I'm the instructor for this intro text mining course. Let's kick things off by defining text mining and quickly covering two text mining approaches. Academic text mining definitions are long, but I prefer a more practical approach. So text mining is simply the process of distilling actionable insights from text. Here we have a satellite image of San Diego overlaid with social media pictures and traffic information for the roads. It is simply too much information to help you navigate around town. This is like a bunch of text that you couldn’t possibly read and organize quickly, like a million tweets or the entire works of Shakespeare. You’re drinking from a firehose! So in this example if you need directions to get around San Diego, you need to reduce the information in the map. Text mining works in the same way. You can text mine a bunch of tweets or of all of Shakespeare to reduce the information just like this map. Reducing the information helps you navigate and draw out the important features. This is a text mining workflow. After defining your problem statement you transition from an unorganized state to an organized state, finally reaching an insight. In chapter 4, you'll use this in a case study comparing google and amazon. The text mining workflow can be broken up into 6 distinct components. Each step is important and helps to ensure you have a smooth transition from an unorganized state to an organized state. This helps you stay organized and increases your chances of a meaningful output. The first step involves problem definition. This lays the foundation for your text mining project. Next is defining the text you will use as your data. As with any analytical project it is important to understand the medium and data integrity because these can effect outcomes. Next you organize the text, maybe by author or chronologically. Step 4 is feature extraction. This can be calculating sentiment or in our case extracting word tokens into various matrices. Step 5 is to perform some analysis. This course will help show you some basic analytical methods that can be applied to text. Lastly, step 6 is the one in which you hopefully answer your problem questions, reach an insight or conclusion, or in the case of predictive modeling produce an output. Now let’s learn about two approaches to text mining. The first is semantic parsing based on word syntax. In semantic parsing you care about word type and order. This method creates a lot of features to study. For example a single word can be tagged as part of a sentence, then a noun and also a proper noun or named entity. So that single word has three features associated with it. This effect makes semantic parsing "feature rich". To do the tagging, semantic parsing follows a tree structure to continually break up the text. In contrast, the bag of words method doesn’t care about word type or order. Here, words are just attributes of the document. In this example we parse the sentence "Steph Curry missed a tough shot". In the semantic example you see how words are broken down from the sentence, to noun and verb phrases and ultimately into unique attributes. Bag of words treats each term as just a single token in the sentence no matter the type or order. For this introductory course, we’ll focus on bag of words, but will cover more advanced methods in later courses! Let’s get a quick taste of text mining!
Views: 26255 DataCamp
DATA ANALYTICS e BUSINESS INTELLIGENCE - O QUE É e suas DIFERENÇAS
 
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Data Analytics e Business Intelligence O que É e as DIFERENÇAS - http://www.juracyalmeida.com Esses dois conceitos, são termos que estão em ALTA nos principais meios ligados a áreas de dados, seja profissional ou acadêmico, Data Analytics e Business Intelligence. Data Analytics se propõe, através de PROCESSOS e TECNOLOGIAS, COM UM OBJETIVO ESPECÍFICO e SOLICITADO PELA ORGANIZAÇÃO A TRANSFORMAR O DADO BRUTO em INFORMAÇÃO OU CONHECIMENTO. Já BUSINESS INTELLIGENCE é um conjunto de PROCESSOS CONCEITOS E SOLUÇÕES DE TECNOLOGIA oferecer ao GESTOR UM SUPORTE A TOMADA DE DECISÃO analisando os principais ASSUNTOS e NEGÓCIOS. Ao assistir o vídeo será apresentada as diferenças com maiores detalhes dos CONCEITOS, ESCOPO E IMPLEMENTAÇÃO de Data Analytics e Business Intelligence. Site: http://www.juracyalmeida.com ------------------------------------------------------------------------------------------------------- Livro para Aprender BI [BI COMO DEVE SER]: http://www.juracyalmeida.com/livro-BI-COMO-DEVE-SER -------------------------------------------------------------------------------------------------------- Treinamento OBIEE Quer Aprender OBIEE, conheça meu Curso OBIEE Análises e Painéis: http://www.aprendavirtual.com/courses/obiee/ -------------------------------------------------------------------------------------------------------- 👉👉 Curso SQL na Prática para INICIANTES APRENDER do ZERO https://www.udemy.com/sql-pratica-oracle-simples-facil-rapido/?couponCode=YTBBF2018 👉👉 Curso Oracle SQL e PL/SQL na PRÁTICA SEM SEGREDOS https://www.udemy.com/curso-sql-e-plsql-para-iniciantes-na-pratica-sem-segredos/?couponCode=YTBBF2018 👉👉 Resumo BI para Profissionais e Concursandos: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBBF2018 👉👉Business Intelligence na Teoria + Analytics Data Discovery https://www.udemy.com/business-intelligence-tableau-power-bi-odv-qliksense/?couponCode=YTBBF2018 Resumo BI Se você é um profissional que quer conhecer mais sobre BI, seus conceitos e técnicas ou se você está se preparando para concursos que envolvam esta disciplina de Business Intelligence (BI) te convido a conhecer o Resumo BI. Resumo BI para Profissionais e Concursandos: Acesse: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBRESUMOBI1 -------------------------------------------------------------------------------------------------------- Curso SQL para Oracle Totalmente online, o treinamento conta com 64 vídeo-aulas, Apostila de Apoio Completa, Inúmeros exercícios práticos e ao final o aluno recebe um certificado. Mais do Curso SQL para Oracle: http://www.aprendavirtual.com/courses/sql-para-oracle/ Se inscreva em nosso canal: https://www.youtube.com/channel/UC9x53qtj4ExOtBavStxf2NA Vídeo: https://youtu.be/7BYpySukFZs
Views: 165 Juracy Almeida
Business Intelligence - SSIS Predictivo Data Mining Arbol de Decisión
 
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Ejercicio donde a partir de un modelo aprendido de compras, se establece que otros clientes (prospectos) tienen mayor probabilidad de compra a través del Arbol de Decisión de SSIS (Sql Server Integration Services). Business Intelligence.
Embed video, text, images and web content in Power BI service - Power BI Tips & Tricks #40
 
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Looking for a download file? Go to our Download Center: https://curbal.com/donwload-center SUBSCRIBE to learn more about Power and Excel BI! https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1 Our PLAYLISTS: - Join our DAX Fridays! Series: https://goo.gl/FtUWUX - Power BI dashboards for beginners: https://goo.gl/9YzyDP - Power BI Tips & Tricks: https://goo.gl/H6kUbP - Power Bi and Google Analytics: https://goo.gl/ZNsY8l ABOUT CURBAL: Website: http://www.curbal.com Contact us: http://www.curbal.com/contact ▼▼▼▼▼▼▼▼▼▼ If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running: https://curbal.com/product/sponsor-me Many thanks in advance! ▲▲▲▲▲▲▲▲▲▲ QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here: ► Twitter: @curbalen, @ruthpozuelo ► Google +: https://goo.gl/rvIBDP ► Facebook: https://goo.gl/bME2sB #POWERBITIPS #CURBAL #POWERBI #MVP ► Linkedin: https://goo.gl/3VW6Ky
Views: 2640 Curbal
Data Mining using the Excel Data Mining Addin
 
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The Excel Data Mining Addin can be used to build predictive models such as Decisions Trees within Excel. The Excel Data Mining Addin sends data to SQL Server Analysis Services (SSAS) where the models are built. The completed model is then rendered within Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 74442 Steve Fox
Analyzing Big Data in less time with Google BigQuery
 
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Most experienced data analysts and programmers already have the skills to get started. BigQuery is fully managed and lets you search through terabytes of data in seconds. It’s also cost effective: you can store gigabytes, terabytes, or even petabytes of data with no upfront payment, no administrative costs, and no licensing fees. In this webinar, we will: - Build several highly-effective analytics solutions with Google BigQuery - Provide a clear road map of BigQuery capabilities - Explain how to quickly find answers and examples online - Share how to best evaluate BigQuery for your use cases - Answer your questions about BigQuery
Views: 71860 Google Cloud Platform
Text Mining (part 3)  -  Sentiment Analysis and Wordcloud in R (single document)
 
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Sentiment Analysis Implementation and Wordcloud. Find the terms here: http://ptrckprry.com/course/ssd/data/positive-words.txt http://ptrckprry.com/course/ssd/data/negative-words.txt
Views: 23731 Jalayer Academy
BI & Big Data: por um negócio fora da crise - Oracle Brasil
 
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José Cláudio Securato, CEO da Saint Paul Escola de Negócios, fala sobre a necessidade de pensar de forma assertiva e baseada em dados para lidar com o atual cenário econômico, que deve se estender ainda em 2016, e como BI e Big Data pode diferenciar negócios e criar vantagens competitivas. Priscila Siqueira, Vice-Presidente de Vendas de Business Analytics da Oracle América Latina, arremata a conversa, posicionando como a Oracle se preparou para lidar com este cenário e estender benefícios de BI e Big Data, via nuvem, para todos os tamanhos de empresas.
Views: 5291 Oracle Brasil
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Edureka
 
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***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. Watch the entire video to get an idea of the 30 most frequently asked questions in Data Warehouse interviews. - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehouseInterviewQuestions #DataWarehouseConcepts #DataWarehouseTutorial Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 100418 edureka!
Data Mining & Business Intelligence | Tutorial #28 | Naive Bayes Classification (Solved Problem)
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #NaiveBayes Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj Watch this video to understand how a problem in Naive Bayes is solved in data mining for classification on the given data set. Watch Now! شاهد هذا الفيديو لفهم كيفية حل مشكلة في Naive Bayes في التنقيب عن البيانات للتصنيف على مجموعة البيانات المحددة. شاهد الآن! Assista a este vídeo para entender como um problema em Naive Bayes é resolvido na mineração de dados para classificação no conjunto de dados fornecido. Assista agora! Regardez cette vidéo pour comprendre comment un problème dans Naive Bayes est résolu dans l'exploration de données pour la classification sur l'ensemble de données donné. Regarde maintenant! Sehen Sie sich dieses Video an, um zu verstehen, wie ein Problem in Naive Bayes im Data Mining zur Klassifizierung auf dem gegebenen Datensatz gelöst wird. Schau jetzt! Mire este video para comprender cómo se resuelve un problema en Naive Bayes en la extracción de datos para su clasificación en un conjunto de datos determinado. ¡Ver ahora! Посмотрите это видео, чтобы понять, как проблема в Naive Bayes решена в области интеллектуального анализа данных для классификации по данному набору данных. Смотри! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 1008 Ranji Raj
Data Mining // Tecnologia em 3 Minutos #01
 
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Aprenda em 3 MINUTOS o que é: DATA MINING (Mineração de Dados). Este é o primeiro vídeo da série Tecnologia em 3 Minutos, onde explicamos termos e novas tecnologias em apenas 3 minutos. Nos sigam nas redes sociais: 👨🏼‍💻 GUSTAVO CAETANO: ▪ https://instagram.com/gustac 👩🏼‍💻 MAITÊ MARQUES: ▪ https://instagram.com/magrimarques
The human insights missing from big data | Tricia Wang
 
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Why do so many companies make bad decisions, even with access to unprecedented amounts of data? With stories from Nokia to Netflix to the oracles of ancient Greece, Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on "thick data" -- precious, unquantifiable insights from actual people -- to make the right business decisions and thrive in the unknown. Check out more TED talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
Views: 100743 TED
BUSINESS INTELLIGENCE (INTELIGENCIA EMPRESARIAL) (BIN)
 
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Learning Outcomes: This course is intended: - To understand data more quickly to make better, faster decisions and contribute towards fulfilling business objectives. - To know the internal and external requirements for Business Intelligence (BI) - To use the best technical practices for supporting BI: The web, data warehousing and information integration. - To show how to use data for multiple purposes including presenting your organisation's performance to stakeholders. - To gain a valuable insight into key operating information to quickly identify business problems and opportunities. - To practice with an open-source tool in a case study application of tools and methods, looking for new knowledge. The lessons of the course may be split into groups as follows: Theoretical knowledge gathering 1. INTRODUCTION TO BUSSINESS INTELLIGENCE 2. DATA, INFORMATION AND KNOWLEDGE 3. DATA WAREHOUSE 4. DATA MINING 5. BI TOOLS Practical application to case studies 6. CASE STUDY SELECTION. ETL WORK 7. CASE MODELLING AND ANALYSIS (wrap 4 weeks) 8. SOME OTHER CASE STUDIES Course contents: There is different level of learning objectives involved in present course: Regarding the cognitive domain, and with emphasis in knowledge and analysis it is expected that students can - Acquire basic concepts about business intelligence, data warehouse and data mining. - Formulate applications related to these technologies into their specific field of activity, being able to distinguish different domains of application. - Analyze and organize BI tools comparison regarding an specific field of application. Regarding the cognitive domain but with emphasis into the application domain, it is expected that students can: - Install an open-source data mining toolbox by themselves. - Apply analysis strategies to provided datasets by using previous installed toolbox. - Write a summary of main findings produced during the experience. Finally, by sharing doubts and problems into the forum provided for discussion, students will improve the affective dimension of learning experience as well as the teamwork experience. INFORMACIÓN GENERAL: CEPADE-UNIVERSIDAD POLITÉCNICA DE MADRID. http:\\www.cepade.es mailto:[email protected] Nuestra sede se encuentra en: Dr. Federico Rubio y Gali, 11 28039 Madrid-ESPAÑA Telf: +34 91.456.27.95 Fax: +34 91.553.55.63 Canal de atención al alumno en Twitter Si desea información particular sobre un curso determinado o sobre cualquiera de nuestra Oferta Académica consulte en Cursos por Áreas. http://www.cepade.es/formacion/OfertaAcademica.asp Para cualquier otra consulta puede llamar al teléfono (+34) 91.456.27.95 de Lunes a Jueves de 09:00 a 20:00 horas y Viernes de 09:00 a 14:00 horas (hora en Madrid) ó a través de correo electrónico a la Secretaría de CEPADE. Le responderemos en breve.
Views: 538 Badar Kablar
Aula Resumo BI - Fundamentos de Business Intelligence em Vídeo
 
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Aula Resumo BI - Fundamentos de Business Intelligence agora em vídeo!!! VEJA MAIS AQUI : https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBRESUMOBI1 O que é BI(Business Intelligence), Fato, Dimensão ETL, Staging Area, Big Data, Data Mining, Estudar BI para Concursos de TI?? INCRIVELLLLL!!! O RESUMO BI - FUNDAMENTOS DE BUSINESS INTELLIGENCE agora em Vídeo Pessoal. Projeto novo em parceria com o Professor e referência na área de BI, Grimaldo Oliveira!!! Me diga, Você conheceu a área de Business Intelligence, tem interesse em ingressar na área e quer aprender os principais fundamentos mas não encontra conteúdo que te ajude de verdade? Ou você está se preparando para concursos e sente falta de um material prático e objetivo com assuntos de BI? ENTÃO APROVEITE O LANÇAMENTO DO RESUMO BI - FUNDAMENTOS DE BUSINESS INTELLIGENCE em Vídeo. Nesse novo projeto, reformulamos o Resumo BI que era em PDF e agora disponibilizamos o conteúdo em Vídeo como forma de acelerar seu aprendizado...Porém, o Resumo BI em PDF que você conhece também está incluido nesse curso para te ajudar como um guia de consulta rápida. Termos como OLAP, Staging Area, Metadados, Dimensão, Fato e outros, serão todos explicados de forma simples e objetiva dentro desse treinamento. Além disso temos 50 QUESTÕES COMENTADAS em vídeo para ajudar principalmente a você que quer se preparar para um concurso!!!! QUER SABER MAIS, então acesse: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBRESUMOBI1 Site: http://www.juracyalmeida.com -------------------------------------------------------------------------------------------------------- Resumo BI Se você é um profissional que quer conhecer mais sobre BI, seus conceitos e técnicas ou se você está se preparando para concursos que envolvam esta disciplina de Business Intelligence (BI) te convido a conhecer o Resumo BI. Resumo BI para Profissionais e Concursandos: Acesse: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBRESUMOBI1 -------------------------------------------------------------------------------------------------------- 👉👉 Curso SQL na Prática para INICIANTES APRENDER do ZERO https://www.udemy.com/sql-pratica-oracle-simples-facil-rapido/?couponCode=YTBBF2018 👉👉 Curso Oracle SQL e PL/SQL na PRÁTICA SEM SEGREDOS https://www.udemy.com/curso-sql-e-plsql-para-iniciantes-na-pratica-sem-segredos/?couponCode=YTBBF2018 👉👉 Curso SQL sem COMPLICAÇÃO e TALEND para ETL na PRÁTICA https://www.udemy.com/curso-sql-sem-complicacao-e-talend-integracao-para-etl-na-pratica/?couponCode=LANCAMENTOYTB 👉👉 Resumo BI para Profissionais e Concursandos: https://www.udemy.com/resumo-bi-fundamentos-de-business-intelligence/?couponCode=YTBBF2018 👉👉Business Intelligence na Teoria + Analytics Data Discovery https://www.udemy.com/business-intelligence-tableau-power-bi-odv-qliksense/?couponCode=YTBBF2018 -------------------------------------------------------------------------------------------------------- Curso SQL para Oracle Totalmente online, o treinamento conta com 64 vídeo-aulas, Apostila de Apoio Completa, Inúmeros exercícios práticos e ao final o aluno recebe um certificado. Mais do Curso SQL para Oracle: http://www.aprendavirtual.com/courses/sql-para-oracle/ Se inscreva em nosso canal: https://www.youtube.com/channel/UC9x53qtj4ExOtBavStxf2NA
Views: 829 Juracy Almeida
Data Warehouse Concepts | Data Warehouse Tutorial | Data Warehouse Architecture | Edureka
 
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***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This tutorial on data warehouse concepts will tell you everything you need to know in performing data warehousing and business intelligence. The various data warehouse concepts explained in this video are: 1. What Is Data Warehousing? 2. Data Warehousing Concepts: 3. OLAP (On-Line Analytical Processing) 4. Types Of OLAP Cubes 5. Dimensions, Facts & Measures 6. Data Warehouse Schema - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining #DataWarehouseConcepts Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 51817 edureka!
Data classification (6-4c)
 
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This video is part of the Analyzing and Visualizing Data with Power BI course available on EdX. To sign up for the course, visit: http://aka.ms/pbicourse. To read more: Power BI service https://aka.ms/pbis_gs Power BI Desktop https://aka.ms/pbid_gs Power BI basic concepts tutorial: https://aka.ms/power-bi-tutorial To submit questions and comments about Power BI, please visit community.powerbi.com.
Views: 6154 Microsoft Power BI
Sales Forecasting with Excel and the SQL Server 2012 Data Mining Add-in Tutorial
 
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Use the Excel Data Mining add-in for SQL 2012 Analysis Services. See how simple it is to build a predictive model that forecasts sales or other values based on historical data.
Views: 12783 Edward Kench
Data Warehouse | Informática para concursos
 
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O que é um Data Warehouse? Vamos entender este depósito de dados no âmbito dos bancos de dados. Nesta aula descobriremos o que as bancas de concurso público consideram certo sobre este assunto nas questões de informática para concursos. Mais cursos em: http://www.veonconcurso.com.br
Views: 2557 Rodrigo Schaeffer
Questões de Concurso: Sistemas de Informação (Business Intelligence)
 
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Neste vídeo analisaremos 3 questões de concursos com o tema e-Commerce voltado para gestão e administração. As transações de comércio eletrônico podem ser classificadas em: O Business Intelligence (BI) é um conjunto de ferramentas para analisar grande quantidade dados disponíveis em Data Warehouses e data marts, para ajudar os usuários nas tomadas das decisões empresariais. O Data Warehouse é um banco de dados que armazena potenciais dados para a tomada de decisão empresarial. Ele também é responsável por consolidar e padronizar os dados originários de diversos sistemas. Dentre as ferramentas mais difundidas de BI estão: - OLAP (On-Line Analytical Processing): permite uma análise multidimensional dos dados, permitindo ao usuário ver os mesmos dados de diferentes maneiras, utilizando diversas dimensões - Data Mining ou Mineração de Dados - Software para Consultas a Banco de Dados Um Sistema de Informações Gerenciais (SIG) é destinado ao auxílio na tomada de decisão dos gestores, controle e coordenação de uma organização através de um conjunto de atores inter-relacionados que processam armazenam e distribuem informações. Na parte de Sistemas de Informação, é feita uma revisão desde o que é hardware básico até o desenvolvimento em si de sistema utilizando técnicas e ferramentas da engenharia de software. A apresentação com as questões pode ser vista em https://pt.slideshare.net/mscpantoja/questes-de-concursos-sistemas-de-informao-parte-1 Enjoy it! By @prof.pantoja https://turing.pro.br/kadupantoja/
Views: 609 Professor Pantoja
MBA BI in Practice Part 1
 
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Recorded on November 11, 2011 using a Flip Video camcorder.
Views: 452 jmpreMBA
Introduction to Cluster Analysis with R - an Example
 
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Provides illustration of doing cluster analysis with R. R File: https://goo.gl/BTZ9j7 Machine Learning videos: https://goo.gl/WHHqWP Includes, - Illustrates the process using utilities data - data normalization - hierarchical clustering using dendrogram - use of complete and average linkage - calculation of euclidean distance - silhouette plot - scree plot - nonhierarchical k-means clustering Cluster analysis is an important tool related to analyzing big data or working in data science field. Deep Learning: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 105066 Bharatendra Rai
Power BI (desktop) - Painel Completo (Visão Semana - Atual, Passada e Próxima)
 
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Faça o download do material desta aula: https://goo.gl/Ih8dKh Arquivo: PBI_13.zip Descrição: A aula de hoje irá te ensinar a montar um painel completo no Power BI, passando por todas as camadas de um projeto de Self-Service BI: ETL - usando o Power Query para importar e transformar os dados; Data Warehousing e Data Mining - usando as poderosas funções DAX para criar Medidas (powerpivot); Analytics e Report - usando as visualizações (power view) para transformar suas medidas em informação através dos diversos elementos visuais; Além disso tudo, você aprenderá a criar VISÕES SEMANAIS de maneira automática (semana atual, semana anterior e próxima semana) com funções da linguagem M (power query) para que seu painel sempre te mostre a informação de venda atualizada conforme o dia de hoje. Funções DAX utilizadas e definições no Microsoft MSDN: COUNTA - https://goo.gl/YRcuXV SUM - https://goo.gl/VgJ3wL CALCULATE - https://goo.gl/sJrqhB ALL - https://goo.gl/0LnaUJ DIVIDE - https://goo.gl/eLJiu2 Funções M Language utilizadas e definições no Microsoft MSDN: Date.IsInPreviousWeek - https://goo.gl/QQRaSN Date.IsInCurrentWeek - https://goo.gl/vKfiKP Date.IsInNextWeek - https://goo.gl/KUAEjv Sobre o assunto: MSDN | Funções de Data M Language - https://goo.gl/WjuVmp ==============//=============== ....==ATENÇÃO==.... Este material não pode ser copiado, reproduzido, distribuído, comercializado, publicado novamente, exposto, enviado pelo correio ou de qualquer outra forma ou por qualquer outro meio, total ou parcialmente, sem a devida citação (casos públicos) e/ou autorização (comércio). ================== Conheça nossas playlists e bons estudos: = Power BI (desktop e serviço) - https://goo.gl/9VeiZL = Novidades Power BI - https://goo.gl/tX2WXw = Aulas Transmitidas AO VIVO - https://goo.gl/7pSIoh = SSBI - DAX - https://goo.gl/JL4SgI = SSBI - Excel: Powerpivot e Power View - https://goo.gl/DROjTz = SSBI - Excel: Power Query (M Language) - https://goo.gl/3t2utu = BI & Gestão - https://goo.gl/KPAhgd = Excel em 5 minutos - https://goo.gl/n2KHwf = Excel Avançado - https://goo.gl/978rDU = Excel Básico - https://goo.gl/LfxzOV = Gráficos - https://goo.gl/IJKsXb = Curso VBA p/ Iniciantes - https://goo.gl/CQPpDW = Especialistas Convidados - https://goo.gl/8SZ2PA Sobre Nós: Site: http://www.planilheiros.com.br Cursos Presenciais: http://planilheiros.com.br/cursos_presenciais/ Siga-nos nas redes sociais: Facebook: http://facebook.com/planilheiros Linkedin: https://goo.gl/RvwBaF Google +: https://goo.gl/RKmQsF Twitter: https://goo.gl/sRVidh Instagram: https://goo.gl/0TXKk4 ================== Literatura Recomendada: Power BI Introducing Microsoft Power BI, Marco Russo / Alberto Ferrari - https://goo.gl/AkwpOs Power Pivot and Power BI, Rob Collie / Avichal Singh - https://goo.gl/x9O4u8 DAX The Definitive Guide to DAX, Marco Russo / Alberto Ferrari - https://goo.gl/rW7z2D Learn to Write DAX, Matt Allington - https://goo.gl/6jC5Sb DAX Formulas for PowerPivot, Rob Collie - https://goo.gl/tCs9wg Linguagem M M Is for (Data) Monkey, Ken Plus / Miguel Escobar - https://goo.gl/pULFtH, Power Query for Power BI and Excel, Chris Webb - https://goo.gl/IYSmRU Powerpivot PowerPivot for the Data Analyst, Bill Jelen - https://goo.gl/Fsu2ss PowerPivot Alchemy, Bill Jelen / Rob Collie - https://goo.gl/80eqCv
Views: 20523 Planilheiros - PBIX
270 - Conversas de Valor "Business Intelligence" Com Prof. Caio Gozzi
 
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Business Intelligence Prof. Caio Gozzi Estudou Ciências Econômicas pela Universidade Presbiteriana Mackenzie (1996). Atualmente é sócio – CABS Tecnologia da Informação Ja foi Socio da Freedecision Business Intelligence e socio diretor da Unidade de Business Intelligence da Datasul. Trabalhou em diversas empresas de Softwares como Totvs, Datasul, Execplan e em empresas de auditoria e consultoria como KPMG e Ernst & Young . Especializado em softwares de Business Intelligence (BI) , Balanced Scorecard (BSC), Data mining, Planejamento Orçamentário. Experiência em desenvolvimento conceitual e técnico de novos produtos/softwares para segmentos específicos, atendendo peculiaridades técnicas, humanas de acordo com o segmento e porte da empresa. Experiência em desenvolvimento e aplicação de metodologias de implantação de softwares de apoio a decisão focada nos usuários e suas necessidades dentro do contexto que esta inserido (perfil, porte, segmento). 1) O que é Business Intelligence? 2) Quais são as tendências modernas para Business Intelligence? 3) Quem são os profissionais envolvidos nesse processo? 4) Como as empresas podem se beneficiar com self service B.I. ?
O que é Big Data - Conceitos básicos
 
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O que é Big Data Neste vídeo vamos apresentar o conceito de Big Data, explicando suas aplicações, características e importância tecnológica. Contribua com a Bóson Treinamentos!: Clube de Contribuições no Kickante: https://www.kickante.com.br/campanhas/contribuicao-mensal/boson-treinamentos-fabio-dos-reis Contribuição via Bitcoin - Contribua com bitcoins usando o endereço a seguir: 1F2zucNtHimYR2dpnGxpX1fnoMn5xKM5S6 Outras formas de contribuir: http://www.bosontreinamentos.com.br/contribuir/ Por Fábio dos Reis Bóson Treinamentos: http://www.bosontreinamentos.com.br Facebook: https://www.facebook.com/bosontreinamentos/ Pinterest: https://br.pinterest.com/bosontreina/ Twitter: https://twitter.com/bosontreina Instagram: bosontreinamentos
Views: 49819 Bóson Treinamentos
[Power BI] Rotação de Relatórios em TVs/Monitores
 
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Para deixar em fullscreen na URL: ?chromeless=true Tab Rotate: https://chrome.google.com/webstore/detail/tab-rotate/pjgjpabbgnnoohijnillgbckikfkbjed?hl=en-GB -------- TREINAMENTOS -------- Curso de Excel: https://cursos.datab.com.br/curso/excel-basico-ao-avancado/ Curso de Power BI: https://cursos.datab.com.br/curso/powerbi-modulo-1/ Treinamentos EAD: https://cursos.datab.com.br/ Treinamentos Presenciais: https://www.datab.com.br/treinamentos -------- ME SIGA -------- Meu site: https://www.karinelago.com.br/ Linkedin: https://www.linkedin.com/in/karinedibailago/ Twitter: https://twitter.com/KarineDibaiLago Instagram: https://www.instagram.com/karinedolago/ Newsletter: https://dtb.tips/Newsletter-Datab Karine Lago é premiada pela Microsoft como MVP (Most Valuable Professional), é Microsoft Certified Professional (MCP) como MCSA em BI Reporting e MOSE em Excel, pós-graduada em Gestão Estratégica da Informação pela UFMG, sócia-fundadora na DATAB Inteligência, autora de livros técnicos de Excel e Power BI, youtuber técnico e instrutora oficial do LinkedIn Learning. -------- LIVROS QUE ESCREVI -------- Excel de A até XFD: http://www.livroexcel.com.br/ Dominando o Power BI: http://www.livropowerbi.com.br/ -------- LIVROS RECOMENDADOS -------- Microsoft Excel 2016: https://goo.gl/nMsNYx DAX/Power Pivot: https://goo.gl/TZwivp DAX Patterns: https://goo.gl/W8bcoR Power BI: https://goo.gl/8LNH9R #DATAB #POWERBI #MVP #MVPBUZZ #MICROSOFT #EXCEL #DAX #PLANILHA
Views: 2614 Karine Lago
OPTICS : Ordering Points To Identify Clustering Algorithm Video | Clustering Analysis - ExcelR
 
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ExcelR: In this video, we will learn about the basic approach of OPTICS is similar to DBSCAN, but instead of maintaining a set of known, but so far unprocessed cluster members, a priority queue (e.g. using an indexed heap) is used. Things you will learn in this video 1)What is OPTICS? 2)What are drawbacks in DBSCAN? 3)Advantages & Disadvantages in OPTICS 4)What is OPTICS-Appendix? To buy eLearning course on Data Science click here https://goo.gl/oMiQMw To register for classroom training click here https://goo.gl/UyU2ve To Enroll for virtual online training click here https://goo.gl/JTkWXo SUBSCRIBE HERE for more updates: https://goo.gl/WKNNPx For K-Means Clustering Tutorial click here https://goo.gl/PYqXRJ For Introduction to Clustering click here Introduction to Clustering | Cluster Analysis #ExcelRSolutions #OPTICS#Differenttypesofclusterings#ClusterAnalytics#AdvantagesanddisadvantagesinOPTICS #DataSciencetutorial #DataScienceforbeginners #DataScienceTraining ----- For More Information: Toll Free (IND) : 1800 212 2120 | +91 80080 09706 Malaysia: 60 11 3799 1378 USA: 001-844-392-3571 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com Connect with us: Facebook: https://www.facebook.com/ExcelR/ LinkedIn: https://www.linkedin.com/company/exce... Twitter: https://twitter.com/ExcelrS G+: https://plus.google.com/+ExcelRSolutions
SCD - Slowly Changing Dimension in Data Warehouse
 
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Title: Slowly Changing Dimensions | All you need to know about SCD Description – Slowly changing dimension is a way of accommodating/adjusting changes in dimensions. In this video, we will learn about slowly changing dimensions. SCD or Slowly Changing Dimensions is a common dimensional scenario, that comes in data warehouses but it is a critical design process for developers. We will dive down to understand different approaches - type 1, type 2 and type 3 and corresponding techniques to deal with each of them. Subscribe - https://www.youtube.com/channel/UCKKcA2ZYYsXb5IUbOKKcRJQ About AroundBI : We are trying to create an educational platform with an aim to provide tutorials in a very simple and understandable way. Get more on AroundBI ----------------------- DATA WAREHOUSE: Title - Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating YouTube URL - https://youtu.be/eynCo_1pZaU Title - What is Grain in Data warehouse YouTube URL - https://youtu.be/wRvPkXTKnmg Title - Fact Table Structure in Data Warehouse YouTube URL - https://youtu.be/zMIxLCZcfhc Title - Why Surrogate Keys are used in Data Warehouse YouTube URL - https://youtu.be/OjoOSWusBsc Title - Dimension Table Structure in Data warehouse YouTube URL - https://youtu.be/byShIIbLF3g Title - What is Dimension and Fact in Data Warehouse YouTube URL - https://youtu.be/DV4IMjnL_IU -----------------------
Views: 11683 aroundBI
CURSO DE DATA MINING (MINERAÇÃO DE DADOS) AULA 01
 
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Data Mining ou Mineração de Dados consiste em um processo analítico projetado para explorar grandes quantidades de dados (tipicamente relacionados a negócios, mercado ou pesquisas científicas), na busca de padrões consistentes e/ou relacionamentos sistemáticos entre variáveis e, então, validá-los aplicando os padrões detectados a novos subconjuntos de dados. O processo consiste basicamente em 3 etapas: exploração; construção de modelo ou definição do padrão; e validação/verificação.
Views: 26875 professormarcebrito
Data Warehousing: Business Intelligence | Knowledgecity.com
 
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Check out the full course at http://bit.ly/2hKxDVl Data is not the same as information. The process of gaining information from the data is known as business intelligence. To understand about business intelligence and different ways to gather information from the data, watch this video. Featured Course Lessons: Data Warehousing Fundamentals What is Business Intelligence? What is Data Modeling? How are they Linked? What is Data Warehousing? The Business Case for Data Warehousing What are Transactional Databases? What is Data Mining? Unit Load Handling Dimension and Fact Tables Business Intelligence and Data Warehousing Process Transactional Databases and Data Warehouses Warehouse Definitions Data Mart Data Warehousing with Depending Data Marts Business Intelligence Processes Data Mining and Applied Analytics Business Intelligence Infrastructure What are the Business Intelligence Roles? Program Management How to Align Multiple Projects and Activities Change Management Issues and Practices Quality Management with Data Data as a Business Resource Project Management and Meta Data What is Project Management and Methodology? Identifying Types of Metadata Meta Data Challenges and Strategies Manager Challenges with Metadata Data Mining What are the Techniques of Data Mining? Preparing Data for Mining Clustering Classification Regression Decision Trees Modeling the Data Warehouse Data Sources How to Create InfoObjects How to Build Infocubes https://www.knowledgecity.com/ | Online Employee Training Platform. KnowledgeCity offers 10,000+ online video tutorials in Business, Computer, Safety, and Banking. Subscribe to our YouTube Channel: http://bit.ly/2gcNXRH Check our Blog: http://bit.ly/2wv0nLr Follow KnowledgeCity on Social Media Channels! Twitter: http://bit.ly/2xyYwSw Facebook: http://bit.ly/2ixefz3 LinkedIn: http://bit.ly/2xza4VP Google+: http://bit.ly/2wMZDko
Views: 65 KnowledgeCity
GOVERNANÇA DE DADOS PARA BI EM TEMPO DE SELF-SERVICE BI - PARTE 1
 
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Confira neste webinário com Cláudio Bonel a importância da governança de dados tanto em projetos tradicionais de BI quanto em tempos de self-service BI. Você quer aprender sobre business intelligence? Então veio ao lugar certo. Neste webinário você confere: 1. O que é governança de dados? 2. BI Tradicional versus Business Intelligence 3. Direcionamento do mercado 4. Designing de soluções de BI 5. Demo: Self-service BI no MS Power BI utilizando MS Excel como fonte de dados https://youtu.be/FDUtU62ZhYo
Views: 2285 Anelox
Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining
 
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Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org, Blog: http://www.jpinfotech.blogspot.com Although a large research effort on web application security has been going on for more than a decade, the security of web applications continues to be a challenging problem. An important part of that problem derives from vulnerable source code, often written in unsafe languages like PHP. Source code static analysis tools are a solution to find vulnerabilities, but they tend to generate false positives, and require considerable effort for programmers to manually fix the code. We explore the use of a combination of methods to discover vulnerabilities in source code with fewer false positives. We combine taint analysis, which finds candidate vulnerabilities, with data mining, to predict the existence of false positives. This approach brings together two approaches that are apparently orthogonal: humans coding the knowledge about vulnerabilities (for taint analysis), joined with the seemingly orthogonal approach of automatically obtaining that knowledge (with machine learning, for data mining). Given this enhanced form of detection, we propose doing automatic code correction by inserting fixes in the source code. Our approach was implemented in the WAP tool, and an experimental evaluation was performed with a large set of PHP applications. Our tool found 388 vulnerabilities in 1.4 million lines of code. Its accuracy and precision were approximately 5% better than PhpMinerII's and 45% better than Pixy's.
Views: 716 jpinfotechprojects
CPBR3 - Oficina. Data Mining Weka
 
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Ary Fagundes Bressane Neto (pesquisador de Inteligência Artificial) e Flávio Soares Corrêa da Silva (livre docente da USP) . DataMining com Weka Diariamente, universidades, governos, empresas e outros tipos de instituições no mundo todo adicionam bilhões de linhas em seus bancos de dados. Nossa habilidade de analisar, classificar e interpretar o conteúdo desses grandes bancos de dados está muito abaixo da capacidade de armazená-los. Nesse sentido, a oficina apresentará o Weka, um software livre de mineração de dados, que por meio de diversos algoritmos permite extrair informações de bases de dados. Além do funcionamento do software será apresentado um exemplo de como integrar os algoritmos do Weka em aplicações Java. A oficina será ministrada por Ary Fagundes Bressane Neto (pesquisador de Inteligência Artificial) e Flávio Soares Corrêa da Silva (livre docente da USP).
Views: 14861 Campus Party
Data Mining - Churn Analysis
 
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Data Mining Final Project: Churn analysis on a mobile company churn data set
Views: 2551 Ayame Shiba
Profissões de Destaque - Data Scientist, Big Data e Business Analytics
 
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Muito se fala a respeito do Big Data e do volume de dados gerados através da internet das coisas (IoT), transações financeiras, registros médicos, smartfones, mídias sociais e muitos outros dispositivos que surgem diariamente para facilitar nossas vidas. As novas demandas devem mudar o perfil profissional ideal para o mercado de trabalho e a Profº Dra. Alessandra Montini esteve na Campus Party 2018 e compartilhou um pouco sobre o perfil de cada profissional. E você já está preparado? Conheça os cursos de MBA, Pós graduação e extensões nas áreas de Big Data, Analytics e Data Mining, Estatística aplicada, Machine Learning e muitas outras em uma das instituições mais bem avaliadas em rankings nacionais e internacionais. Acesse: www.labdata.com.br ou agende uma visita: (11) 3894-5003
Views: 12065 FIA Business School
A Diferença Entre BI, BA e Big Data
 
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Você sabe a diferença entre BI, BA (Business Analytics) e Big Data? A Carol explica tudo o que você precisa saber nesse vídeo! Gostou? Curta nosso canal. Dúvidas? Entre em contato com a gente! www.mginfo.com.br Entre em contato: [email protected] MG Info: Av. Brasil, nº 709 - 8º andar Belo Horizonte, Brasil (31) 2512-6149