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Introduction to Data Mining in SQL Server Analysis Services
 
01:27:07
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: 9003 PASStv
Data Mining in SQL Server Analysis Services
 
01:29:25
Presenter: Brian Knight
Views: 97815 PASStv
Microsoft Data Mining Demo -- Fill from Example
 
03:35
Microsoft Data Mining Demo -- Fill from Example with SQL Server 2008 and Excel 2007
Views: 15341 MarkTabNet
SSAS Data Mining Overview
 
19:20
Just an overview of SSAS Data Mining. Check out Microsoft's tutorial for more info: https://msdn.microsoft.com/en-us/library/ms167167(v=sql.120).aspx
Views: 1755 Randal Root
Microsoft Data Mining Demo -- Scenario Analysis
 
04:42
Microsoft Data Mining Demo -- Scenario Analysis with SQL Server 2008 and Excel 2007
Views: 16066 MarkTabNet
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience 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 Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 59562 edureka!
MS SQL Server Data mining- decision tree
 
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A quick example on how to do data mining using decision tree algorithm within MS SQL Server . We analyze patterns in data that is heavily skewed for specific cases so that we can validate the model.
Views: 5004 Jayanth Kurup
Microsoft Data Mining Demo -- Forecasting
 
02:16
Microsoft Data Mining Demo -- Forecasting with SQL Server 2008 and Excel 2007
Views: 8200 MarkTabNet
Introduction to Data Mining in SQL Server Analysis Services
 
07:41
Watch the full video here - http://pragmaticworks.com/LearningCenter/FreeTrainingWebinars/PastWebinars.aspx?ResourceId=613 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. Intelligent Data Solutions - http://pragmaticworks.com/PragmaticWorksHome.aspx
Views: 2985 Pragmatic Works
Microsoft Data Mining Demo -- Highlight Exceptions
 
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Microsoft Data Mining Demo -- Highlight Exceptions with SQL Server 2008 and Excel 2007
Views: 2026 MarkTabNet
SSAS: Detect Categories Video Tutorial (Data Mining Table Analysis Tool)
 
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SQL Server Analysis Services: Data Mining Table Analysis Tool Read the entire video transcript here: http://msdn.microsoft.com/en-us/library/dd299419.aspx
Views: 6133 sqlserver
Microsoft Data Mining Demo -- Detect Categories
 
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Microsoft Data Mining Demo -- Detect Categories with SQL Server 2008 and Excel 2007
Views: 5737 MarkTabNet
Microsoft Visual Studio - Business Intelligence Data Mining
 
30:27
For more videos visit http://computerseekho.com http://www.facebook.com/pages/ComputerSeekhocom/205208676168940
Views: 19465 Mayank Malik
Forecasting with the Microsoft Time Series Data Mining Algorithm
 
01:25:20
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm.. MSBI - SSAS - Data Mining - Time Series. In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA vesves ARIMA modelling and how to use these models to do forecast.. I am sorry for my poor english. I hope it helps you. when i take the data mining course, i had searched it but i couldnt. So i decided to share this video with you.
Views: 380 Fidela Aretha
SSAS: Scenario Analysis - What-If Video Tutorial (Data Mining Add-in For Excel)
 
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SQL Server Analysis Services: Data Mining Add-in For Excel See the video transcript: http://msdn.microsoft.com/en-us/library/dd744749.aspx
Views: 8714 sqlserver
SSAS: Scenario Analysis - Goal Seek Video Tutorial (Data Mining Add-in For Excel)
 
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SQL Server Analysis Services: Data Mining Add-in For Excel See more info, and read the video transcript: http://msdn.microsoft.com/en-us/library/dd744748.aspx
Views: 3930 sqlserver
SSAS: Analyze Key Influencers Video Tutorial (Data Mining Table Analysis Tool)
 
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SQL Server Analysis Services (SSAS): Data Mining Table Analysis Tool Read through the video transcript: http://msdn.microsoft.com/en-us/library/dd299424.aspx
Views: 2504 sqlserver
Predicting Stock Prices with SSAS Mining Models
 
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Predictive analytics and supervised machine learning with SSAS and C#. In this demo I use MS Time Series Mining structure within SSAS to predict stock prices using the Auto Regressive Integrated Moving Average (ARIMA) method. This is a bit of supervised machine learning with analysis services. I then query the mining model with SSMS and run a prediction query from a C# applications
Views: 2993 sackdeezle
Data Mining in Excel
 
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How to implement data mining in excel? For more information please visit https://www.koenig-solutions.com/microsoft-training-certification-courses.aspx
Views: 2355 Koenig Solutions
Data Mining with SQL Server 2012 (Part I)
 
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This is a part of SQL Server Dataming videos, this the part I. Introduction to the concepts.
Views: 13936 Rodrigo Ramos Dornel
Introduction to Data Mining  (1/3)
 
13:34
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses Microsoft SQL server 2008, BIDS 2008 and Excel for data mining
Views: 151136 creativecommIT
SQL Server 2008/R2 Analysis Services Data Mining: An Intro
 
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This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here: http://www.learnitfirst.com/Course165 Now, Scott will talk about putting Analysis Services and data mining together. He explains that there are really two parts to Analysis Services: the multidimensional part, and the data mining part, although most people just work with the multidimensional part. You will see the many uses for data mining, and get more comfortable with the basics before learning some terms in videos later in the chapter. Highlights from this video: - What can you do with SSAS and data mining? - Do you need anything other than SSAS to do data mining? - The data mining language - Example data mining reports - How much work is data mining? and much more...
Views: 28747 LearnItFirst.com
Oracle data mining tutorial, data mining techniques: classification
 
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What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques. More lessons, visit http://www.learn-with-video-tutorials.com/oracle-data-mining-tutorial-video
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
Forecast the Price of Gold with Excel and SQL Server - Data Mining Tutorial
 
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Learn about data mining with SQL Server 2012 Analysis Services and Excel 2013, using historical gold pricing data, to predict future prices. To follow this tutorial, you should have SSAS and the Data Mining Add-in for Excel.
Views: 6410 Edward Kench
Excel at Data Mining - Your First Predictions
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a set of predictions for new customers using a Logistic Regression models based upon old customers. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 21298 StatSlice Systems
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: 73575 Steve Fox
Microsoft BI Training - 1 | MSBI Tutorial for Beginners - SSIS Tutorial | SSIS SQL Server | Edureka
 
02:26:11
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: 151991 edureka!
Introduction to Data Mining  (2/3)
 
13:00
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses SQL server 2008, BIDS 2008 and Excel for data mining
Views: 26850 creativecommIT
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: 12668 Edward Kench
Data Warehouse tutorial. Creating an ETL.
 
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This Data Warehouse video tutorial demonstrates how to create ETL (Extract, Load, Transform) package. See more lessons http://www.learn-with-video-tutorials.com/data-warehouse-tutorial-video
Microsoft Data Mining Demo -- Analyze Key Influencers
 
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Microsoft Data Mining Demo -- Analyze Key Influencers with SQL Server 2008 and Excel 2007
Views: 5319 MarkTabNet
MSBI - SSAS - Data Mining - Time Series
 
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MSBI - SSAS - Data Mining - Time Series
Views: 642 M R Dhandhukia
Microsoft Azure Machine Learning Tutorial
 
02:33:47
Aiodex’s Referral Program  will give you 20% -80% commission from their transaction fee for 7 years. The value will be calculated starting from the date the member you invite sign up. ☞ https://aiodex.com/?ref=5b45a599c7165734d36bb3fc Learn to Code ☞ https://codequs.com CodeGeek Discuss ☞ https://discord.gg/KAe3AnN Playlists Video Tutorial ☞ http://bit.ly/2IQdTwR Get Free 15 Geek ☞ https://my.geekcash.io/ref/5b3c4924d38b6158ce04633f or http://geekcash.org/ Machine Learning A-Z™: Hands-On Python & R In Data Science ☞ http://deal.codetrick.net/p/SJw1YoTMg Deep Learning A-Z™: Hands-On Artificial Neural Networks ☞ http://deal.codetrick.net/p/BkhKBKGFW Data Science, Deep Learning, & Machine Learning with Python ☞ http://deal.codetrick.net/p/BkS5nEmZg A-Z Machine Learning using Azure Machine Learning (AzureML) ☞ http://deal.codetrick.net/p/HyzN4sPZf Python for Data Science and Machine Learning Bootcamp ☞ http://deal.codetrick.net/p/BJzWmGFGg If you're not a data scientist, but you're interested in data mining and predictive analytics, and you want to go beyond just reporting the numbers, check out this course on Azure Machine Learning (ML). ML is the inexpensive, easy-to-access, and powerful predictive analytics offering from Microsoft. In this demo-rich course, led by entertaining experts Buck Woody, Seayoung Rhee, and Scott Klein, get a real-world look at the different ways you can efficiently embed predictive analytics in your big data solutions, and explore best practices for analyzing trends and patterns. Find out about extending Azure ML using the Azure ML API services, and look at scenarios and methods for monetizing your ML application with Azure Marketplace. NOTE: To get the most out of this course, set up the Azure Machine Learning trial beforehand. Instructor | Seayoung Rhee - Microsoft Senior Technical Product Manager; Buck Woody - Microsoft Senior Technical Specialist; Scott Klein - Microsoft Senior Technical Evangelist Introduction to Machine Learning & Azure ML Studio Learn the meaning of Machine Learning and its benefits, and get a quick introduction to basic techniques. See a demo of the Azure Machine Learning portal, and tour the ML Studio. Designing a Predictive Analytics Solution with Azure ML Watch an end-to-end scenario demo, and recreate a recommendation model from scratch in ML Studio. Learn about the process and flow of machine learning and what each module contributes, from start to finish. Monetizing Your ML Application with Azure Marketplace See a demo on publishing the finished app: begin with the two stage-process of publishing the app and then releasing it to production as a web service. Then, explore the process of registering as a publisher and of submitting the app to the Azure Data Marketplace for approval for monetization. Azure ML API Services and Extensibility Scenarios Learn to use the automatically generated C# code in the web service API, and run that code in Visual Studio. This code calls the API from the web service and returns the results, which can be used to embed Machine Learning technologies. Learn Explore data mining and predictive analytics. Video source via: MVA ---------------------------------------------------- Website: https://goo.gl/XnM72d Website: https://goo.gl/AWpXfC Playlist: https://goo.gl/cknV8C Fanpage: https://goo.gl/kMBCFs Twitter: https://goo.gl/pNw922 Wordpress: https://goo.gl/qAJxMe Pinterest: https://goo.gl/GrRx7B Tumblr: https://goo.gl/6fTauh
Views: 4121 Big Data Training
Data Mining with SQl Server 2012 Part II
 
11:46
Video from a serie about Data Mining and SQL Server 2012
Views: 5429 Rodrigo Ramos Dornel
Creating Data Mining Structures & Predictive Models using the Excel Add-In  for SQL Server 2008
 
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A demonstration of how to create Data Mining Structures & Predictive Models using the Excel Data mining Addin for SQL Server 2008. A data mining structure is created first and then a Microsoft Decision Tree & Neural Network are created. In the subsequent video I will create a lift chart (also known as an Accuracy Chart) to compare the effectiveness of the two models. The raw data used in the demonstration is available at http://www.analyticsinaction.com/creating-data-mining-structures-predictive-models-using-the-excel-add-in-for-sql-server-2008/ 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: 26066 Steve Fox
SSAS - Data Mining - Decision Trees, Clustering, Neural networks
 
33:08
SSAS - Data Mining - Decision Trees, Clustering, Neural networks
Views: 1173 M R Dhandhukia
Introduction to Data Mining  (3/3)
 
03:15
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses SQL server 2008, BIDS 2008 and Excel for data mining
Views: 14610 creativecommIT
Analysis Services tutorial. Creating OLAP cube. Introduction to data warehouse
 
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Analysis Services is a collection of OLAP supplied in Microsoft SQL Server. See more lessons http://www.learn-with-video-tutorials.com/analysis-services-video-tutorial
Introduction to Data Science with R - Data Analysis Part 1
 
01:21:50
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 910961 David Langer
What Is Data Mining in SQL Server 2008/R2 Analysis Services?
 
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This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here: http://www.learnitfirst.com/Course165 In this video Scott will go over data mining, this is a big buzzword right now. This video is a brief overview data mining, there is a chapter later in the course that will go into data mining more in depth. Highlights from this video: - Data mining and MDBs -* What is data mining? - Finding patterns - Manual data analysis - Find "known unknowns" - Key influencers and much more...
Views: 4904 LearnItFirst.com
Microsoft Visual Studio - Business Intelligence Data Mining
 
03:24
Microsoft Visual Studio - Business Intelligence Data Mining Analysis Services Project
Views: 751 Amândio Guedes
What Is Data Mining in SQL Server 2008/R2 Analysis Services?
 
08:22
This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here: http://www.learnitfirst.com/Course165 In this video Scott will go over data mining, this is a big buzzword right now. This video is a brief overview data mining, there is a chapter later in the course that will go into data mining more in depth. Highlights from this video: - Data mining and MDBs - What is data mining? - Finding patterns - Manual data analysis - Find "known unknowns" - Key influencers and much more...
Views: 3034 LearnItFirst.com
Azure Machine Learning Demo
 
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10 Minutes demonstration of how to use Machine Learning to train an algorithm to predict a person's income and publish it as a web service.
Views: 91290 Sascha Corti
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
55:13
Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1516629 ExcelIsFun
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. - - - - - - - - - - - - - - Please write back to us at [email protected] or call us at +91 90660 20866 for more information. 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: 206346 edureka!
Advanced Excel - Data Mining Techniques using Excel
 
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Key Takeaways for the session : Breaking junk using formula and generate reports VBA to manipulate data in required format Data extraction from external files Who should attend? People from any domain who work on data in any form. Good for Engineers, Leads, Managers, Sales people, HR, MIS experts, Data scientists, IT Support, BPO, KPO etc. Feel free to write me at [email protected]
Views: 23779 xtremeexcel
SQL Server 2005 Data Mining Forecasting in Excel
 
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SQL Server 2005 Data Mining Forecasting in Excel
Views: 6890 GarryEdser
Creating Association Rules using the SQL Server Data Mining Addin for Excel
 
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Association Rules are a quick and simple technique to identify groupings of products that are often sold together. This makes them useful for identifying products that could be grouped together in cross-sell campaigns. Association rules are also known as Market Basket Analysis, as they used to analyse a virtual shopping baskets. In this tutorial I will demonstrate how to create association rules with the Excel data mining addin that allows you to leverage the predictive modelling algorithms within SQL Server Analysis Services. Sample files that allow you follow along with the tutorial are available from my website at http://www.analyticsinaction.com/associationrules/ 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: 7719 Steve Fox

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