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What is Business Intelligence (BI)?
 
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There are many definitions for Business Intelligence, or BI. To put it simply, BI is about delivering relevant and reliable information to the right people at the right time with the goal of achieving better decisions faster. If you wanna have efficient access to accurate, understandable and actionable information on demand, then BI might be right for your organization. For more information, contact Hitachi Solutions Canada (canada.hitachi-solutions.com).
Views: 346189 Hitachi Solutions Canada
Data Mining & Business Intelligence | Tutorial #30 | BI Architecture
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #BusinessIntelligence #Architecture 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 So here, basically if you look at architectures that I have presented in the slides, so this is a most simplified architecture of BI and since we need to look at in a holistic perspective so I tried to create 3 layers one is a data sources, the bottom layer is the data sources, and the middle layer is talking about the data warehouse and the top layer is the Business Intelligence. إذاً هنا ، في الأساس ، إذا نظرت إلى البِنى التي قمت بعرضها في الشرائح ، لذا فهذه هي البنية الأكثر بساطة من BI وحيث أننا نحتاج إلى النظر في منظور كلي لذا حاولت إنشاء 3 طبقات واحد هو مصدر بيانات ، الطبقة السفلية هي مصادر البيانات ، والطبقة الوسطى تتحدث عن مستودع البيانات والطبقة العليا هي ذكاء الأعمال. Así que aquí, básicamente, si miras las arquitecturas que he presentado en las diapositivas, esta es la arquitectura más simplificada de BI y, como tenemos que ver desde una perspectiva holística, intenté crear 3 capas, una fuente de datos, la capa inferior son las fuentes de datos, y la capa intermedia habla sobre el almacén de datos y la capa superior es la inteligencia empresarial. Also hier, im Grunde genommen, wenn man sich Architekturen anschaut, die ich in den Folien vorgestellt habe, ist dies eine sehr vereinfachte Architektur von BI und da wir uns in einer ganzheitlichen Perspektive betrachten müssen, habe ich versucht, 3 Ebenen zu erstellen. Die unterste Schicht ist die Datenquelle, die mittlere Schicht spricht über das Data Warehouse und die oberste Schicht ist die Business Intelligence. Итак, здесь, в основном, если вы посмотрите на архитектуры, которые я представил на слайдах, так что это самая упрощенная архитектура BI, и поскольку нам нужно взглянуть на целостную перспективу, поэтому я попытался создать 3 слоя, один из них - источники данных, нижний уровень - это источники данных, а средний уровень - это хранилище данных, а верхний уровень - это бизнес-аналитика. Donc ici, fondamentalement, si vous regardez les architectures que j'ai présentées dans les diapositives, donc c'est une architecture de BI simplifiée et comme nous devons regarder dans une perspective holistique, j'ai essayé de créer 3 couches, une source de données, la couche inférieure correspond aux sources de données et la couche intermédiaire à l'entrepôt de données et la couche supérieure à la Business Intelligence. ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 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: 1546 Ranji Raj
CS 430   Business Intelligence and Data Mining
 
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Organizations increasingly rely on business intelligence and data mining systems to provide them the relevant information and insights to support decision-making. This course covers the fundamental concepts and tools for managing and mining data to generate new insights. Topics include design and development of data warehouses; and data mining tools, including statistical and machine learning techniques, to identify new patterns. Popular data mining systems will be used to develop practical skills. (4 credits) Prerequisite: Consent of the faculty. Video by Professor Anil Maheshwari.
Views: 823 mumcompro
▶ 5 Most Used Data Mining Software || Data Mining Tools -- Famous Data Mining Tools
 
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»See Full #Data_Mining Video Series Here: https://www.youtube.com/watch?v=t8lSMGW5eT0&list=PL9qn9k4eqGKRRn1uBmEhlmEd58ATOziA1 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on Data Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 #Learn_Data_Mining_In_A_Easy_Way #Data_Mining_Essential_Course #Data_Mining_Course_For_Beginner Here We're Going to Learn Which Software is best to use in Data Mining Field R remains the leading tool, with 49% share, but Python grows faster and almost catches up to R. RapidMiner remains the most popular general Data Science. আধুনিক প্রযুক্তির ব্যবহার বৃদ্ধির সাথে অতি দ্রুত ডেটা উৎপন্ন হচ্ছে। টেক জায়ান্ট আইবিএম জানায় ইন্টারনেটে যত ডেটা আছে তার ৯০ ভাগ উৎপন্ন হয়েছে গত তিন বছরে। এ ডেটা উৎপন্নের হার দিনকে দিন বেড়েই চলছে। বিশেষজ্ঞদের ধারনা ২০২০ সাল নাগাদ প্রায় ৪০ জেটাবাইট ডেটা জেনারেট হবে। যা ২০১১ তুলনায় প্রায় ৫০ গুন বেশি। বিশাল পরিমাণ এই ডেটা প্রক্রিয়াজাতের মাধ্যমে বিজ্ঞান, গবেষণা, চিকিৎসা, শিক্ষা ও ব্যবসায় ব্যপক ভুমিকা রাখা যেতে পারে। তাই বলা হচ্ছে “ বিগ ডেটা ইজ বিগ ইমপ্যাক্ট।” Data Mining,big data,data analysis,data mining tutorial,book , Bangla tutorials,data mining software,Data Mining,What is data mining, bookbd, data analysis,data mining tutorial,data science,big data,business tutorial,data mining Bangla tutorial,how to,how to mine data,knowledge discovery,Artificial Intelligence,Deep learning,machine learning,Python tutorials,
Views: 5814 BookBd
How data mining works
 
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 219086 Thales Sehn Körting
Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU
 
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The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu.ac.il/global
Views: 1198 BenGurionUniversity
Microsoft Visual Studio - Business Intelligence Data Mining
 
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For more videos visit http://computerseekho.com http://www.facebook.com/pages/ComputerSeekhocom/205208676168940
Views: 19475 Mayank Malik
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
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** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining 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: 207381 edureka!
Data Warehouse and Business Intelligence: OLAP Servers and Operations
 
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OLAP Servers and Operations
Views: 40096 minderchen
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: 85504 edureka!
What do Data Warehouse and Business Intelligence do
 
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A fun way to explain my job as a Data Warehouse and Business Intelligence engineer
Views: 20875 lutingh
SQL Server Data Tools   Business Intelligence 2016 Installation
 
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Get Full Software Here:http://downloadconfirm.net/file/36h88S It’s a business intelligence and data management software that empowers organizations to create and deploy scalable and manageable end-to-end business intelligence solution. The software is based on Visual Studio and can be customized with the SQL server services, extensions, project types, ETL dataflows and data mining structure.
Views: 56 Mirna
Data Mining Lecture - - Data Analytics life cycle (Eng-Hindi)
 
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Business Intelligence Big data issues are solved using data analytics life cycle The key roles of data analytics are explained -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 20377 Well Academy
Big Data Tools and Technologies | Big Data Tools Tutorial | Big Data Training | Simplilearn
 
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This Big Data Tools Tutorial will explain what is Big Data?, Big Data challenges and some of the popular Big Data tools involed in Big Data processing and management. The main challenge of Big Data is storing and processing the data at a specified time span. The traditional approach is not efficient in doing that. So Hadoop technologies and various Big Data tools have emerged to solve the challenges in Big Data environment. There are a lot of Big Data tools, all of them help in some or the other way in saving time, money and in covering business insights. This video will talk about such tools used in Big Data management. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=BigData-Tools-Tutorial-Pyo4RWtxsQM&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Tools-Tutorial-Pyo4RWtxsQM&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 10030 Simplilearn
Introduction to Business Intelligence
 
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Introduction to Business Intelligence - This session explains what is BI and why companies are using BI.
Views: 11621 Suresh Kumar Thanda
SEO - Keyword discovery tool - Mozenda Data Mining - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 76 Data Analytics
Business Intelligence Vs Data Science (Data Analytics) (HINDI)
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Views: 5568 5 Minutes Engineering
Introduction to Data Mining in SQL Server Analysis Services
 
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Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.
Views: 9074 PASStv
40 Data Analysis New Tools - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 86 Data Analytics
Business Intelligence And Its Future In Hindi
 
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Welcome Everyone Dosto ! is video mein hum business intelligence ke baare mein dekhenge. kya hai business intelligence ? aur kya hoga iska future dekhiye is video mein....! #puretechstuffnothingelse LIKE | COMMENT | SHARE | SUBSCRIBE Follow Asim on Twitter : https://twitter.com/mdasim999
Views: 10686 Tech Wala Stuff
Answers from Big Data - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 254 Data Analytics
Data Warehouse in Telugu
 
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ETL and SSIS : https://youtu.be/kWxv9E7g-JM Business Intelligence is a technology based on customer and profit-oriented models that reduce operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision-making capabilities at no time. Business Intelligence Models are based on multidimensional analysis and key performance indicators (KPI) of an enterprise "A data warehouse is a subject oriented, integrated, time variant, a nonvolatile collection of data in support of management's decision-making process". In addition to a relational/multidimensional database, a data warehouse environment often consists of an ETL solution, an OLAP engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users. Data Mart - Datamart is a subset of data warehouse and it supports a particular region, business unit or business function. ETL (Extract, Transform and Load) is a process in data warehousing responsible for pulling data out of the source systems and placing it into a data warehouse. ETL and SSIS : https://youtu.be/kWxv9E7g-JM The Online Analytical Processing is designed to answer multi-dimensional queries, whereas the Online Transaction Processing is designed to facilitate and manage the usual business applications. While OLAP is customer-oriented, OLTP is market-oriented. Both OLTP and OLAP are two of the common systems for the management of data. The OLTP is a category of systems that manage transaction processing. OLAP is a compilation of ways to query multi-dimensional databases Tools for Data warehouse: Amazon Redshift Oracle 12c MSBI Informatica Data Validation. QuerySurge. ICEDQ. Datagaps ETL Validator. QualiDI. Talend Open Studio for Data Integration. Codoid's ETL Testing Services. Data Centric Testing.
Views: 3832 Learners Page
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
Data Warehouse and Business Intelligence: Systems Architecture and OLTP vs. OLAP
 
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Discuss the basic archietcture for Data Warehouse and Business Intelligence; Compare OLTP vs.OLAP
Views: 118350 minderchen
Microsoft Visual Studio - Business Intelligence Data Mining
 
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Microsoft Visual Studio - Business Intelligence Data Mining Analysis Services Project
Views: 758 Amândio Guedes
IOM 528 - Data Warehousing Business Intelligence, and Data Mining - Professor Arif Ansari
 
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Professor Arif Ansari This course helps to build Business Analytics skill set required by companies. At least sixty percent of the class time is spent on data mining which is especially useful to companies, because it allows you to understand customers to a level not possible before. This course is about how companies apply two new technologies, data warehousing (DW) and data mining (DM, including business intelligence, BI) to empower their employees, and build and manage a customer-centric business model. Besides learning the strategic role DW and DM plays in an enterprise, you will also get a close-up look at DW and DM by working on cases and gaining hands-on experience using software tools. Students taking this class will get an overview of the technologies of DW and BI/DM from a managerial perspective. Finance companies have started data mining, example: Capital One Credit Card Company. Real Estate companies are now using neural networks to evaluate the price of homes.
Data mining tools
 
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Views: 384 Prarinya Ekapho
Microsoft BI Training - 1 | MSBI Tutorial for Beginners - SSIS Tutorial | SSIS SQL Server | Edureka
 
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This Edureka MSBI Training video will help you learn the basics of MSBI and SSIS architecture. MSBI stands for Microsoft Business Intelligence. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries. This tool uses Visual studio along with SQL server. The video gives a basic tutorial for beginners. The topics covered in the video are: 1.Need for Business Intelligence 2.Business Intelligence Components 3.Business Intelligence : Decision making 4.What the user wants 5.Principles of MSBI 6.Data warehous 7.OLTP vs OLAP 8.SSIS Package Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to MSBI Tutorial for Beginners-1’ have been covered in our course ‘Microsoft BI'. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 152082 edureka!
MSBI Tutorials for Beginners | Business Intelligence Tutorial | Learn MSBI | MSBI Training | Edureka
 
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This Edureka MSBI Tutorial video will help you learn the basics of MSBI. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries.This video will help you master MSBI concepts such as SSIS, SSAS and SSRS along with demo using SQL Server and Data Tools. Below are the topics covered in this tutorial: 1. Why Business Intelligence? 2. What is BI? 3. BI tools 4. Why Microsoft BI? 5. What is Microsoft BI? 6. Microsoft BI Architecture 7. Tools & Utilities of Microsoft BI 8. Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Microsoft BI playlist here: https://goo.gl/Vo6Klo #MicrosoftBI #MicrosoftBItutorial #MicrosoftBIcourse How it Works? 1. This is a 30 Hours of Online Live Instructor-Led Classes. Weekend Class : 10 sessions of 3 hours each. Weekday Class : 15 sessions of 2 hours each. 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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! --------------------------------------------------- About the Course Edureka's Microsoft BI Certification Course is designed to provide insights on different tools in Microsoft BI Suite (SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services). Get expertise in SSIS , SSAS & SSRS concepts and master them. The course will give you the practical knowledge on Data Warehouse concepts and how these tools help in developing a robust end-to-end BI solution using the Microsoft BI Suite. --------------------------------------------------- Who should go for this course? Microsoft BI Certification Course at Edureka is designed for professionals aspiring to make a career in Business Intelligence. Software or Analytics professionals having background/experience of any RDBMS, ETL, OLAP or reporting tools are the key beneficiaries of this MSBI course. You can check a blog related to Microsoft BI – Why You Need It For A Better Business Intelligence Career!! Also, once your Microsoft BI training is over, you can check the Microsoft Business Intelligence Interview Questions related edureka blog. --------------------------------------------------- Why learn Microsoft BI ? As we move from experience and intuition based decision making to actual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end to end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses. Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/microsoft-bi Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Amit Vij, HRSSC HRIS Senior Advisor at DLA Piper, says "I am not a big fan of online courses and also opted for class room based training sessions in past. Out of surprise, I had a WoW factor when I attended first session of my MSBI course with Edureka. Presentation - Check, Faculty - Check, Voice Clarity - Check, Course Content - Check, Course Schedule and Breaks - Check, Revisting Past Modules - Awesome with a big check. I like the way classes were organised and faculty was far above beyond expectations. I will recommend Edureka to everyone and will personally revisit them for my future learnings."
Views: 36925 edureka!
SAS Tutorials For Beginners | SAS Training | SAS Tutorial For Data Analysis | Edureka
 
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same! In this SAS Tutorial video you will understand: 1) Why Data Analytics? 2) What is Data Analytics? 3) Data Science Analytics Tools 4) Why SAS? 5) What is SAS? 6) What SAS Solves? 7) Components of SAS 8) How can we practice Base SAS? 9) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete SAS Training playlist here: https://goo.gl/MMLyuN #SASTraining #SASTutorial #SASCertification How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 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. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros. - - - - - - - - - - - - - - Why Learn SAS? The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively. - - - - - - - - - - - - - - Who should go for this course? This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for: 1. Analytics professionals who are keen to migrate to advanced analytics 2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist 3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics 4. Testing professionals to move towards creative aspects of data analytics 5. Mainframe professionals 6. Software developers and architects 7. Graduates aiming to build a career in Big Data as a foundational step Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/sas-training Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
Views: 44222 edureka!
1.2.1 BI Tools and Processes
 
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This video describes the basic components of business intelligence, including data mining, data cleansing, multidimensional modeling, OLAP cubes, and data marts.
Views: 4582 AIIMInfoCert
Opensource BI tool-Pentaho
 
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http://www.pragtech.co.in/services/business-intelligence/pentaho.html The Pentaho Business Analytics platform provides enterprise-class reporting, analysis, dashboard, data mining and work flow capabilities that help enterprises operate more efficiently and effectively. The software offers a very flexible deployment options such as embeddable components, customized BI application solutions, and as a complete out-of-the-box, integrated BI platform.
What is OLAP?
 
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This video explores some of OLAP's history, and where this solution might be applicable. We also look at situations where OLAP might not be a fit. Additionally, we investigate an alternative/complement called a Relational Dimensional Model. To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 366315 Intricity101
Telecom Zonal Analytics Business Intelligence Tool
 
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Introduction to TelzaBIT
Views: 37 Mahesh Bhuva
Demo on Microsoft BI (Video 9 of 20)
 
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MSBI stands for Microsoft Business Intelligence. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries. This tool uses Visual studio along with SQL server. The video helps us understand the Basic MSBI Architecture. The video gives a brief demo on MSBI and how it works.
data science ,data analysis,data mining ,BIG data part1
 
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Explaining data science ,data analysis,data mining ,BIG data,Business Intelligence,Predictive Modeling UsingSAS,R ,Python,Tableau, Hadoop,Google analytics,Spss..
Views: 72 data science
Learn MSBI ( Microsoft Business Intelligence ) in 4 days ( SSIS , SSAS and SSRS)
 
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For more such videos visit http://www.questpond.com Offline MSBI Mumbai training by same author http://stepbystepschools.net/?page_id=868 See our other Step by Step video series below :- Learn Angular tutorial for beginners https://tinyurl.com/ycd9j895 Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn MVC 5 Step by Step in 16 hours:- https://goo.gl/dmdakg Learn Xamarin Mobile Programming Step by Step :- https://goo.gl/WDVFuy Learn Design Pattern Step by Step in 8 hours:- https://goo.gl/eJdn0m Learn C# Step by Step in 100 hours :- https://goo.gl/FNlqn3 Learn Data structures & algorithm in 8 hours :-https://tinyurl.com/ybx29c5s Learn SQL Server Step by Step in 16 hours:- http://tinyurl.com/ja4zmwu Learn Javascript in 2 hours :- http://tinyurl.com/zkljbdl Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP Learn TypeScript in 45 Minutes :- https://goo.gl/oRkawI Learn webpack in 50 minutes:- https://goo.gl/ab7VJi Learn Visual Studio code in 10 steps for beginners:- https://tinyurl.com/lwgv8r8 Learn Tableau step by step :- https://tinyurl.com/kh6ojyo Want to know about Why MSBI Career is good see this. https://goo.gl/OVYcsM Below is the full syllabus of Lear MSBI in 4 days videos Lab 1 :- BI Life cycle , Data flow , control flow , error viewing and ETL Demo Lab 2 :- Error handling , Conditional and data conversion.Trailer https://goo.gl/T3oM6Y Lab 3 :- For loop,Debugging , variables and parameters. Trailer https://goo.gl/IBQRvo Lab 4:- Packaging and Deployment, File component and running SSIS package as a task. Trailer https://goo.gl/pvgOlA Lab 5: - For dimension, measures, star schema, snow flake, shared connection managers & packages tasks. Here is the trailer for the video https://goo.gl/Ry08Or Lab 6:- For Slowly Changing dimensions Type 1 & Type 2 With and Without Historical data. Trailer https://goo.gl/6hxNpU Lab 7 for Lookups , Optimizing datatype conversion & how to update changes in MSBI. Here is the trailer for the video https://goo.gl/5nAqyW Lab 8:- Sort, Merge and Merge joins to combine data from different data sources and create a Merged data. Lab 9 :- Creating SSAS Cube ( 30 minutes) Trailer https://goo.gl/LAkgqP Lab 10 :- SSAS Time series and Excel display of SSAS Cube. https://goo.gl/GORhiw Lab 11 :- Transaction and Checkpoints in MSBI. For trailer https://goo.gl/14NT3m Lab 12 :- Creating a simple SSRS report and implementing Matrix,Tabular,Parameters,Sorting,Expressions in SSRS https://goo.gl/79a3K9 Lab 13:- Using Data Profiling task to check data quality (20 Minutes) Trailer https://goo.gl/EzT3IM Lab 14:- Dimension Hierarchies (SSAS) (30 Minutes) Trailer https://goo.gl/RI4iU9 Lab 15 :- Webservice and XMLTask component. (15 Minutes) Lab 16:- DrillDown and Subreports (20 Minutes) Trailer https://goo.gl/WKJHvR Lab 17:- SSAS KPI (Key Performance indicators)(15 Minutes) Trailer https://goo.gl/Wlkb1H Lab 18:- Pivot, UnPivot and Aggregation (20 Minutes) Trailer https://goo.gl/gZzJkC Lab 19 :- SSAS Calculation. (30 Minutes) Lab 20:- SQL Execute Task (30 Minutes) Trailer https://goo.gl/XNMuFJ Lab 21:- Reference and Many-to-Many Relationship(30 Minutes) Trailer https://goo.gl/jYbGfd Lab 22 :- Script Task and Send Mail Task(15 Minutes) Lab 23:- Script component (SSIS)(45 Minutes) Lab 24 :- Bar charts , Pie charts and Gauge report(20 Minutes) Trailer https://goo.gl/SUrjxO Lab 25 :- SSAS Partitions (30 Minutes) Trailer https://goo.gl/aZ13Kh Lab 26:- CDC (Changed Data Capture) in SSIS. (35 Minutes)Trailer https://goo.gl/rkcvsU Lab 27:- Additive, Semiadditive and non-additive measures in SSAS.(15 Minutes) Lab 28:- Buffer Size Tuning (SSIS).Trailer https://goo.gl/oTSxdK Lab 29:-How to impliment Multithreading in SSIS? Trailer https://goo.gl/7IHZTP Lab 30 :- SSAS Cube background Processing. (Trailer) https://goo.gl/X1pN3z Lab 31 :- Asynch and Blocking SSIS components. (Trailer) https://goo.gl/HifAEP Lab 32 :- SSRS Architecture and Deployment Lab 33 :- DQS( Data Quality Services ) Trailer https://goo.gl/s60hSO Lab 34 :- Tabular Model and Power Pivot (SSAS) Trailer https://goo.gl/BRik9A Lab 35 :- MDX (Multidimensional Expressions) Queries. Trailer https://goo.gl/vmnzjM Lab 36 :- Data Mining (Fundamentals and Time Series Algorithm).Trailer https://goo.gl/ylNccY Lab 37 :- Page Split and Performance issues with (SSIS). Trailer https://goo.gl/eKPkO1 Lab 38 :- Aggregations in SSAS.(Trailer) https://goo.gl/OsxiDE Lab 39 :- ROLAP . MOLAP and HOLAP. (Trailer) https://goo.gl/PcItbL Lab 40 :- Instrumentation using Data Taps (SSIS). Lab 41:- Lookup caching modes and Cache Transform. Lab 42: - Perspectives & Translations. Lab 43 :- Tabular Training 1 :- Installation, Xvelocity, Vertipaq, DAX,Creating cubes,measures, KPI, Partition and Translation? MSBI doubt session 1 :- SSAS Multi dimensional cube deployed on Tabular issue. https://goo.gl/5dRp4T Learn MSBI Step by Step. http://goo.gl/L3BGlL
SSIS  in Telugu :SQL Server Integration Services in Telugu
 
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SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading (ETL). The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data. SSIS is part of MSBI - Microsoft Business Intelligence. This powerful suite is composed of tools which help in providing best solutions for Business Intelligence and Data Mining Queries. This tool uses Visual studio along with SQL server.
Views: 1447 Learners Page
EConnect Impact movie - Digital Video synchronized with Data Mining
 
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Learn More about EConnect Increasing productivity is critical during this unprecedented global economic turndown. EConnect has software tools that use Business Intelligence Data which can be seen in real time to verify everything visually and enable planning and response to customers and employees. EConnect takes data which already exists in most operations and presents it so that managers and operators can align constantly labor needs and customer service. The EConnect solution provides comprehensive Business Intelligence tools that help operators uncover visual clues while synchronizing cameras and NVR's with critical systems like the POS system or the Casino Management System.
Views: 1112 Henry Valentino
Archimede Business Intelligence - Data Mining
 
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Archimede Business Intelligence Software Data Mining Demo pt. 1 Distribuzione Soluzioni Informatiche http://www.dsisistemi.it
Views: 136 dsisrl
Business Analytics - Lecture 01
 
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business analytics, information technology, statistical analysis, quantitative methods, decision making, customer segmentation, business intelligence, information systems, operations research, management science, decision support systems, cost-benefit analysis, data-sharing, descriptive analytics, predictive analytics, prescriptive analytics, database query, data visualization, scenario analysis, predictive modeling, data mining, data optimization, social media, analytics tools.
Views: 3626 Krassimir Petrov
Business Analytics with Excel | Data Science Tutorial | Simplilearn
 
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Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. Microsoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. Data Science Certification Training - R Programming: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Data-Excel-W3vrMSah3rc&utm_medium=SC&utm_source=youtube For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization. What are the course objectives? This course will enable you to: 1. Gain a foundational understanding of business analytics 2. Install R, R-studio, and workspace setup. You will also learn about the various R packages 3. Master the R programming and understand how various statements are executed in R 4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R 5. Define, understand and use the various apply functions and DPLYP functions 6. Understand and use the various graphics in R for data visualization 7. Gain a basic understanding of the various statistical concepts 8. Understand and use hypothesis testing method to drive business decisions 9. Understand and use linear, non-linear regression models, and classification techniques for data analysis 10. Learn and use the various association rules and Apriori algorithm 11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: IT professionals looking for a career switch into data science and analytics Software developers looking for a career switch into data science and analytics Professionals working in data and business analytics Graduates looking to build a career in analytics and data science Anyone with a genuine interest in the data science field Experienced professionals who would like to harness data science in their fields Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields 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: 23666 Simplilearn
What is Business Intelligence and Data Analytics?
 
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This video discusses the difference between Business Intelligence and Data Analytics and the components needed to implement them in a business. _____ Find me at: agentcurry.com venticetechnologies.com

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