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In-Database Data Mining for Retail Market Basket Analysis Using Oracle Advanced Analytics
 
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Market Basket Analysis presentation and demo using Oracle Advanced Analytics
Views: 10577 Charles Berger
In-Database Data Mining Using Oracle Advanced Analytics for Classificaton using Insurance Use Case
 
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In-Database Data Mining Using Oracle Advanced Analytics Option for Classificaton using Insurance Use Case
Views: 5076 Charles Berger
Overview presentation and demonstration of Oracle Advanced Analytics Option
 
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Overview presentation & demonstration of Oracle Advanced Analytics Option.
Views: 8101 Charles Berger
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]
Data Mining with Weka (5.1: The data mining process)
 
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Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 1: The data mining process http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/5DW24X https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 16491 WekaMOOC
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: 74801 Steve Fox
Advanced Analytics in Excel 2013 [AV-302]
 
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Speaker: Dejan Sarka Excel is “the” analytical tool in Microsoft’s suite for advanced analysts. Of course, you know that Excel 2013 includes PowerPivot and Power View add-ins out of the box. You also may have heard that you can use big data and Azure DataMarket data in Excel and that you can mash up data from different sources. However, you probably don’t know how to use PowerPivot data for data mining, how to combine big data with PowerPivot data, how to use data mining models in PowerPivot, or how to mash up data when you don’t have common identification. This session is not about introducing the cool new features; instead, it will focus on the most advanced part of Excel analytics: data mining with Excel.
Views: 288 PASStv
Data Mining with Weka (5.4: Summary)
 
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Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 4: Summary http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/5DW24X https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 11658 WekaMOOC
NEW - Fraud and Anomaly Detection using Oracle Advanced Analytics Part 1 Concepts
 
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This is Part 1 of my Fraud and Anomaly Detection using Oracle Advanced Analytics presentations and demos series. Hope you enjoy! www.twitter.com/CharlieDataMine
Views: 6278 Charles Berger
Data mining в реальном проекте
 
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Data mining - классический пример того, когда нас просят из ничего сделать что-то, извлечь скрытый смысл из имеющейся информации. На примерах ситуаций, возникавших в ходе разработки реального проекта, будут рассмотрены проблемы, с которыми мы столкнулись, а также воплощаемые в коде решения, необходимые для создания сбалансированно работающей системы. По материалам конференции .NET разработчиков - http://dotnetconf.ru/Materialy/DataMining
Views: 829 Alexander Byndyu
Big Data: Mining Football Statistics
 
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Data Mining Final Project for Big Data INSY 4970 at Auburn University
Views: 34171 wwl0002
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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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: 1569232 ExcelIsFun
Data Mining in SQL Server Analysis Services
 
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Presenter: Brian Knight
Views: 98603 PASStv
Data Mining with Scala at Identified
 
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Scala is an excellent tool for big data cleaning, gleaning, and modeling. Jan Prach visited SF Scala and discussed how his company, Identified, uses Scala to gain insights into people ranking and search. He overviews the overall data flow, focuses on several points of interest, and explains how Scala makes it all happen. Jan Prach is a Scala Developer, at Identified, using Machine Learning and Data Mining. **Check out more Scala resources: http://marakana.com/s/tags/scala
Views: 3546 InfoQ
Oracle Big Data Analytics Demo mining remote sensor data from HVACs for better customer service
 
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Oracle Big Data Analytics Demo mining remote sensor data from HVACs for better customer service. Oracle Advanced Analytics's Data Mining GUI is used to mine data from remote devices to find problems and improve product customer service. In the scenario, Oracle's Big Data Appliance is positioned to be the initial data collector/aggregator and then the data that is loaded into the Oracle Database. We perform our data mining/predictive analytics on the data while it resides inside the Oracle Database thereby transforming the Database into an Analytical Database.
Views: 2699 Charles Berger
Data Mining   KDD Process
 
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KDD - knowledge discovery in Database. short introduction on Data cleaning,Data integration, Data selection,Data mining,pattern evaluation and knowledge representation.
How to Clean Up Raw Data in Excel
 
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Al Chen (https://twitter.com/bigal123) is an Excel aficionado. Watch as he shows you how to clean up raw data for processing in Excel. This is also a great resource for data visualization projects. Subscribe to Skillshare’s Youtube Channel: http://skl.sh/yt-subscribe Check out all of Skillshare’s classes: http://skl.sh/youtube Like Skillshare on Facebook: https://www.facebook.com/skillshare Follow Skillshare on Twitter: https://twitter.com/skillshare Follow Skillshare on Instagram: http://instagram.com/Skillshare
Views: 94946 Skillshare
Spatial Approximate String Search IEEE Data Mining 2013 Project
 
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spatial approximate string search ieee data mining 2013 project Read more http://ieee-projects10.com/spatial-approximate-string-search/
Views: 793 satya narayana
Analyzing And Visualizing Data With Excel 2016
 
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In this workshop, get an introduction to the latest analysis and visualization capabilities in Excel 2016. See how to import data from different sources, create mash/ups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations - from simple to more advanced - can be expressed using DAX, how the result can be visualized and shared.
Views: 33129 Microsoft Power BI
Database Lesson #8 of 8 - Big Data, Data Warehouses, and Business Intelligence Systems
 
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Dr. Soper gives a lecture on big data, data warehouses, and business intelligence systems. Topics covered include big data, the NoSQL movement, structured storage, the MapReduce process, the Apache Cassandra data model, data warehouse concepts, multidimensional databases, business intelligence (BI) concepts, and data mining,
Views: 81194 Dr. Daniel Soper
Data Mining Case Study meetup:  Data Mining Overview
 
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Junling Hu presents a high level overview of data mining at the "Data Mining Case Study" meetup at the HackerDojo in Mountain View, Ca on Aug 17th 2013.
Views: 1554 Stoney Vintson
RevenueRadar Data Mining Software
 
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RevenueRadar is a new database-mining software integrated with DealerSocket CRM . Watch to see how this powerful tool will help dealers sell more vehicles, close more ROs into the service drive, and increase customer satisfaction.
Views: 4290 DealerSocket
Data Modeling in Excel using Power Pivot
 
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Learn how Power Pivot simplifies data analysis. Topics include: multiple tables and relationships, editable linked tables, DAX formulas, custom calendars, and measure concepts, with a focus on demonstrating each of these capabilities. Follow us on Twitter - https://twitter.com/mspowerbi More questions? Try asking the Power BI Community @ https://community.powerbi.com/
Views: 15017 Microsoft Power BI
Excel Tutorial: What is Business Intelligence and an OLAP Cube? | ExcelCentral.com
 
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This video lesson fully explains the concepts of Business Intelligence, OLAP, MDX and and how they apply to Excel 2013. At http://ExcelCentral.com you can view over 850 free Excel video lessons just like this one. All in full HD with vari-speed and human-transcribed subtitles providing the perfect Excel learning environment. You can also track your progress through the course and print a certificate upon completion. Separate videos are provided for Excel 2007, Excel 2010 and Excel 2013. The lesson begins with an explanation of OLAP and its purpose. You'll learn about OLAP Cubes and how they are divided into Dimensions, Measure and Hierarchies to create a multidimensional data structure. You'll also learn about how the MDX query language is used to extract values from OLAP cubes. This lesson also explains the concept of Business Intelligence and how it applies to OLAP. This video comes from the Data Model, OLAP, MDX and BI session (Session 6 in our Excel 2013 Expert Skills free video training course). This session includes the following video lessons: ▪ Lesson 6-1: Understand primary and foreign keys (11m 27s) http://excelcentral.com/excel2013/expert/lessons/06010-understand-primary-key-foreign-key-relationships.html ▪ Lesson 6-2: Create a simple data model (6m 31s) http://excelcentral.com/excel2013/expert/lessons/06020-create-a-simple-data-model.html ▪ Lesson 6-3: Understand OLAP, MDX and Business Intelligence (10m 17s) http://excelcentral.com/excel2013/expert/lessons/06030-what-is-business-intelligence-and-an-olap-cube.html ▪ Lesson 6-4: Use the GETPIVOTDATA function (4m 31s) http://excelcentral.com/excel2013/expert/lessons/06040-use-the-getpivotdata-function.html ▪ Lesson 6-5: Use the CUBEVALUE function to query an OLAP cube (5m 40s) http://excelcentral.com/excel2013/expert/lessons/06050-use-the-cubevalue-function-to-query-an-olap-cube.html ▪ Lesson 6-6: Convert CUBEVALUE functions to include MDX expressions (5m 48s) http://excelcentral.com/excel2013/expert/lessons/06060-convert-cubevalue-functions-to-include-mdx-expressions.html ▪ Lesson 6-7: Understand OLAP pivot table limitations (10m 52s) http://excelcentral.com/excel2013/expert/lessons/06070-understand-olap-pivot-table-limitations.html ▪ Lesson 6-8: Create an asymmetric OLAP pivot table using Named Sets (4m 57s) http://excelcentral.com/excel2013/expert/lessons/06080-create-an-asymmetric-olap-pivot-table-using-named-sets.html ▪ Lesson 6-9: Understand many-to-many relationships (11m 5s) http://excelcentral.com/excel2013/expert/lessons/06090-understand-many-to-many-relationships.html ▪ Lesson 6-10: Create an OLAP pivot table using a many-to-many relationship (12m 47s) http://excelcentral.com/excel2013/expert/lessons/06100-create-an-olap-pivot-table-using-a-many-to-many-relationship.html You can watch any of the 850 Excel video lessons, free and without any required registration at http://excelcentral.com/excel2013/expert/tutorials/default.html.
Views: 254733 ExcelCentral.com
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: 12847 Edward Kench
Kenneth Cukier: Big data is better data
 
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Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge. 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: 326747 TED
Supporting Search As You Type using SQL database
 
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We offers M.E Projects based on IEEE 2013. Final Year Projects, M.E Projects 2013-2014, mini Projects 2013-2014, Real Time Projects, Final Year Projects for BE ECE, CSE, IT, MCA, B TECH, ME, M SC (IT), BCA, BSC CSE, IT IEEE 2013 Projects in Data Mining, Distributed System, Mobile Computing, Networks, Networking. IEEE 2013 - 2014 Projects. Final Year Projects at Chennai, IEEE Software Projects, Engineering Projects, MCA Projects, BE Projects, JAVA Projects, J2EE Projects, .NET Projects, Students Projects, Final Year Student Projects, IEEE Projects 2013-2014, Real Time Projects, Final Year Projects for BE ECE, CSE, IT, MCA, B TECH, ME, M SC (IT), BCA, BSC CSE, IT, software Engineering
Views: 235 mithra mithu
Nikunj Oza: "Data-driven Anomaly Detection" | Talks at Google
 
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This talk will describe recent work by the NASA Data Sciences Group on data-driven anomaly detection applied to air traffic control over Los Angeles, Denver, and New York. This data mining approach is designed to discover operationally significant flight anomalies, which were not pre-defined. These methods are complementary to traditional exceedance-based methods, in that they are more likely to yield false alarms, but they are also more likely to find previously-unknown anomalies. We discuss the discoveries that our algorithms have made that exceedance-based methods did not identify. Nikunj Oza is the leader of the Data Sciences Group at NASA Ames Research Center. He also leads a NASA project team which applies data mining to aviation safety. Dr. Ozaąs 40+ research papers represent his research interests which include data mining, machine learning, anomaly detection, and their applications to Aeronautics and Earth Science. He received the Arch T. Colwell Award for co-authoring one of the five most innovative technical papers selected from 3300+ SAE technical papers in 2005. His data mining team received the 2010 NASA Aeronautics Research Mission Directorate Associate Administratorąs Award for best technology achievements by a team. He received his B.S. in Mathematics with Computer Science from MIT in 1994, and M.S. (in 1998) and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley.
Views: 8065 Talks at Google
Advanced Customer Segmentation for Consumer Marketing - MindEcology.com
 
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http://www.mindecology.com This video shows you how to use advanced market (customer) segmentation techniques that go beyond using traditional demographic data alone. Video uses data-oriented examples so that you can see how it really works. The result is better-targeted advertising and marketing for better return on investment (ROI). http://www.mindecology.com
Views: 23347 Jed Jones
Multimove - A Trajectory Data Mining Tool
 
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2013 - Mining Representative Movement Patterns through Compression NhatHai Phan, Dino Ienco, Pascal Poncelet, and Maguelonne Teisseire. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Goal Coast, Australia, April 2013. (acceptance rate: 11.3%) 2012 - Mining Time Relaxed Gradual Moving Object Clusters NhatHai Phan, Dino Ienco, Pascal Poncelet, and Maguelonne Teisseire. In Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2012), Redondo Beach, California, November 2012. [pdf] [demo] [code] (acceptance rate: 22%) 2012 - GeT_Move: An Efficient and Unifying Spatio-Temporal Pattern Mining Algorithm for Moving Objects NhatHai Phan, Pascal Poncelet, and Maguelonne Teisseire. In Proceedings of the 11th International Symposium on Intelligent Data Analysis (IDA 2012), Helsinki, Finland, October 2012. 2012 - Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Pattern Mining System NhatHai Phan, Dino Ienco, Pascal Poncelet, and Maguelonne Teisseire. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2012), Demo Paper, Bristol, UK, September 2012.
Views: 537 nhathai phan
How to Extract Data from a Spreadsheet using VLOOKUP, MATCH and INDEX
 
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When you need to find and extract a column of data from one table and place it in another, use the VLOOKUP function. This function works in any version of Excel in Windows and Mac, and also in Google Sheets. It allows you to find data in one table using some identifier it has in common with another table. The two tables can be on different sheets or even on different workbooks. There is also an HLOOKUP function, which does the same thing, but with data arranged horizontally, across rows. See the companion tutorial on Tuts+ at https://computers.tutsplus.com/tutorials/how-to-extract-data-from-a-spreadsheet-using-vlookup-match-and-index--cms-20641. By Bob Flisser.
Views: 2867900 Tuts+ Computer Skills
Data Management_ Sql Server 2012 - Types Of Database Management
 
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Data? management? question help - combinations ? Is it posible to clear the data? from your gamecube memory card?,.… How do i delete all data? from this game? What is the similarity between data? mining and dbms ? Data? management? company? Data? management? relations ? Math homework help! data? management? Data? management? project!? Can somebody tell me about the website of data? base management? system? Flex - sample destination in data?-management?-config.xml?
Tanagra Data Mining
 
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an "open source project" as every researcher can access to the source code, and add his own algorithms, as far as he agrees and conforms to the software distribution license.
Views: 16008 Emmanuel Felipe
Import Data and Analyze with MATLAB
 
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Data are frequently available in text file format. This tutorial reviews how to import data, create trends and custom calculations, and then export the data in text file format from MATLAB. Source code is available from http://apmonitor.com/che263/uploads/Main/matlab_data_analysis.zip
Views: 389216 APMonitor.com
MS SQL Server Data mining  decision tree
 
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Industry leading Build mission-critical, intelligent apps for online transaction processing (OLTP) with breakthrough scalability, performance, and availability. Advanced security Protect data at rest and in motion. SQL Server is the least vulnerable database for six years running in the NIST vulnerabilities database. End-to-end mobile BI Transform data into actionable insights. Deliver insights on any device—online or offline—at one-fifth the cost of other self-service solutions. In-database advanced analytics Analyze data directly within the SQL Server database—without moving the data—using R, the popular statistics language. Made for hybrid cloud Get a consistent platform and tooling for easier workload mobility between your datacenter, private cloud, or Microsoft Azure.
Views: 245 CCelda CCelda
Information Literacy: Part 3 - Advanced Database Search Techniques | De Anza College
 
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#DEANZACOLLEGE In this part, we demonstrate more advanced techniques so that you may search more effectively. De Anza College Library: https://www.deanza.edu/library/ -------------------------------------------------- DE ANZA COLLEGE • Always at or near the top statewide in community college transfers to the University of California, California State University, and private universities • A top transfer college to UC Berkeley, as well as to UC Davis and UC San Diego • Regularly featured for our success rates, including on CNN Money in both 2012 and 2013 • 67 degrees, 97 certificates and more than 1,700 courses • Unique attractions – California History Center, Cheeseman Environmental Studies Area, Euphrat Museum of Art, Fujitsu Planetarium and Visual & Performing Arts Center • Vibrant student life, with more than 70 clubs • 19 athletics teams Phone: (408) 864 - 5300 Web: https://www.deanza.edu/ Facebook: https://www.facebook.com/deanzacollege/ Twitter: https://twitter.com/deanza_college Instagram: https://www.instagram.com/deanzacollege/
Views: 5583 De Anza College
Dynamic Query Forms for Database Queries Video
 
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Data Mining Ieee Project 2013
Advanced Keyword SEO Management Tool: Web-based Software for Cloud-based Data Mining
 
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Back Azimuth http://www.back-azimuth.com now offers its VOCDMS (Voice of the Consumer Data Management System) as part of its advanced keyword management services. Back Azimuth's VOCDMS is a cloud-based data-mining platform that aggregates keyword and social media data into a single web-based application enabling marketers to better understand their prospects while identifying performance gaps that are overlooked by other tools. Search Marketers have dreamed of a single database for managing all of their keyword data -- paid, organic and site search. It is now possible. Using the scale of the cloud and Back Azimuth's VOCDMS database solution, we are able to combine the data and then mine it in hundreds of different ways to help marketers find opportunities which were never possible before. In this video, Bill Hunt, founder and president, Back Azimuth, discusses his company's consulting for a huge online retailer, Yummie Tummie. 0:09 Bill Hunt, founder and president, Back Azimuth Consulting, discusses the ideal target customer who has more than a million keywords that can benefit from Back Azimuth advanced keyword management software or VOCD MS. These are large travel, computer, etail, and retail companies that get a large number of keyword queries that would bring people to their products. 0:22 Bill Hunt speaks to a group of digital marketers at SES. Bill asks the audience about their client-base and how many keywords they monitor and where the opportunities that are not being taken advantage of are. 0:47 Bill expands on the challenges faced by companies that have a million or more keywords and how there are hundreds of thousands of ways in which consumers will look for their product and each of these keywords has a different value. Some of the keyword queries will convert, some won't. The best thing VOCDMS can do for companies is to help them understand how to find those keywords that will convert and generate the most value for them. 01:11 Yummie Tummie (www.yummielife.com/) case study -- Bill begins by presenting a company product which could be referenced using different descriptions. These product names included girdle, shapewear, shaping underwear, shapewear intimates, and Spanx. The age differential is significant, according to Bill, because anyone over the age of 30 would describe the product as a girdle and anyone under the age of 30 would call it spanx or shapewear. The brand, in this case, wants to call it, Shapewear Intimate. Bill describes how the VOCDMS keyword management software discovered that 75% of the entire search related to shapewear came down to a simple formula: clothing type + shapewear. Bill says you have to match the interest and intent to what your prospective customer wants. 04:15 Bill describes how his company revamped Yummie Tummie's keyword research by rebuilding the company's entire website creating a whole new site taxonomy which translates into an experience that provides the user with progressive levels of information about shapewear. 07:14 Bill discusses how the VOCDMS solution mines big keyword data, by managing it in a single database with filters that look for the needle in a haystack. VOCDMS is used by large travel companies, electronic manufacturers, similar to an HP or Dell, that have large sets of data. Travelocity is a client that has tons of keyword volume from different destinations. It takes advantage of VOCDMS by targeting their product to the sets of keywords that their customer base uses for searching. 08:37 To learn more about how your company can benefit from advanced keyword management and VOCDMS, please visit: http://back-azimuth.com/contact Phone: 866-599-8225 If you are interested in a pilot project and want to see how Back Azimuth Consulting's Voice of the Consumer Data Management System can work for you, all that is required is access to your main data such as web analytics, paid search data, and any kind of segmentation or keyword work that you have already done previously.
Views: 806 Bill Hunt
Data Mining Project 2 Video Fall 2014 By Danny L. Cook
 
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Data Mining Class CS 583 Texas Southern University Fall Semester 2014 By: Danny L. Cook Graduate Student Computer Science Title of Paper Read Reported on: Clustering Through Decision Tree Construction Research Paper Reading And Analysis
Views: 66 dannyboyakadboy11
Excel at Data Mining - Connecting to a SQL Server Data Source
 
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In this video, Billy Decker of StatSlice Systems shows you how to connect to a SQL Server data source in less than 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will connect to a SQL Server data source and create a Neural Network Model on the data. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 You will also need to attach the AdventureworksDW2012 data file to SQL Server which can be downloaded here: http://msftdbprodsamples.codeplex.com/releases/view/55330 *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: 3450 StatSlice Systems
10 Query Tuning Techniques Every SQL Programmer Should Know
 
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Presenters: Kevin Kline Aaron Bertrand
Views: 254432 PASStv
database marketing
 
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A discussion of database marketing from text chapter 11.
Views: 4960 DrKC2010
Data Modeling for Power BI
 
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A data model is like the foundation for your house, get it right and everything else goes better. Join the Power BI desktop team in this session to learn about the key steps, and best practices, you need to take to ensure a good data model.
Views: 100257 Microsoft Power BI
Data Analysis using Excel- Database Queries, Filters and Pivot Tables
 
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I have noticed that many people throughout the world have been interested in my training videos on Using Database Queries and Pivot Tables in Microsoft Excel. So this training video, while very helpful for Active Planner customers, is applicable to any Excel user who wants to create database queries and then analyze that data using Filters and Pivot Tables. And as an added bonus, we will go into SQL Management Studio to build and debug our query and I will show you how to create a PIVOT query. I have created a new video for Sage 300 users so check it out at: https://youtu.be/HXzm8s2mVhI And Sage 500 users check out this new video at: https://youtu.be/UWJ9UrTeEr8 Thank you, Doug Leasure
Views: 172195 ActivePlanner
Excel: Data Cleaning with Excel Part 1
 
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Exercise File can be uploaded at: http://analytics4all.org/exercise-file-downloads
Views: 20972 Analytics4All
Business Data Analysis with Excel
 
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Lecture Starts at: 8:25 Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation where many of the tools in the analyst's tool belt (e.g., regression) aren't ideal for the task. Despite these challenges, proper analysis of business data represents a fundamental skill required of Business/Data Analysts, Product/Program Managers, and Data Scientists. At this meetup presenter Dave Langer will show how to get started analyzing business data in a robust way using Excel – no programming or statistics required! Dave will cover the following during the presentation: • The types of business data and why business data is a unique analytical challenge. • Requirements for robust business data analysis. • Using histograms, running records, and process behavior charts to analyze business data. • The rules of trend analysis. • How to properly compare business data across time, organizations, geographies, etc.Where you can learn more about the tools and techniques. *Excel spreadsheets can be found here: https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Business%20Data%20Analysis%20with%20Excel **Find out more about David here: https://www.meetup.com/data-science-dojo/events/236198327/ -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8xWx0 See what our past attendees are saying here: https://hubs.ly/H0f8xGd0 -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 50259 Data Science Dojo
Statistics and Data Mining at Linköping University
 
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Shaheer Mansoor is a master´s student from Pakistan. He is studying Statistics and Datamining at Linköping University in Sweden. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex datasets to improve analysis, prediction and decision making. The programme focuses on modern developments in the intersection of statistics, artificial intelligence and database management, providing the participants with unique competence in the labour market. Read more: http://www.liu.se/statistics-data-mining
Views: 5914 LinkopingUniversity

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