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: 27078 Extreme Automation - Kamal Girdher
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: 34065 Microsoft Power BI
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: 75141 Steve Fox
This video shows how configure to setup the Data Mining Client For Excel addin. This addin is part of the Microsoft SQL Server 2008 Data Mining Add-ins for Microsoft Office 2007 download available at: http://www.microsoft.com/DOWNLOADS/details.aspx?familyid=896A493A-2502-4795-94AE-E00632BA6DE7.
Views: 34506 DeveloperVideos
Even official documentation https://docs.microsoft.com/en-us/sql/analysis-services/data-mining/sql-server-data-mining-add-ins-for-office?view=sql-server-2017 didn't stop me from installing this addins on Excel 2016!
Views: 37 Slava Zhuk
Curso: Inteligencia de Negocios. Docente: Brian Cesar Pando Soto Integrantes: - Taboada Arévalo, Evonny Kristhel -Nieto Collado, Frank Universidad Nacional Agraria de la Selva / Facultad de Ingeniería en Informática y Sistemas / FIIS / 2013 /
Views: 7709 Evonny Taboada Arevalo
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: 22223 StatSlice Systems
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: 99917 Skillshare
In this talk, we will explore how the Python's openpyxl module allows your Python programs to read and modify Excel spreadsheet files. By using Python, you can take your Excel and data manipulation skills to the whole new level. PERMISSIONS: The original video was published on Six Feet Up Corp YouTube channel with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=ueq1iTWQU5U Additional recommended material for Python learners: https://amzn.to/2UMFhRt Python Programming: A Step By Step Guide From Beginner To Expert https://amzn.to/2JsiyZX A Smarter Way to Learn Python: Learn it faster. Remember it longer. https://amzn.to/2CwoGKu Python Crash Course: A Hands-On, Project-Based Introduction to Programming https://amzn.to/2Fi4cG9 Python Programming: An Introduction to Computer Science
Views: 304788 Coding Tech
การติดตั้ง Data Mining Add-ins สำหรับ Excel 2013 เพื่อให้ Excel สามารถเรียกใช้บริการ Analysis Services ของ SQL Server 2014 ในการทำ data mining ==ดาวน์โหลด Data Mining Add-ins สำหรับ Excel 2013 ได้ที่ http://www.microsoft.com/en-us/download/details.aspx?id=35578
Views: 6963 prasertcbs
Watch this short tutorial video to learn how to do basket analysis with Excel 2007 and the SQL Server Data Mining add-in. You can download the SQL Server Data Mining add-in here http://www.microsoft.com/sqlserver/2008/en/us/data-mining-addins.aspx Get more information at http://blogs.msdn.com/bi
Views: 22138 wowmsft
Ejemplo de Árboles de decisión y de obtener información de predicción.
Views: 2505 Cristián Rojas Catalán
It is easy to quantify survey data when it is multiple choice You can use a pivot table to figure out what percentage each answer has But what about free-form text answers? These are hard to process if you have hundreds or thousands of them. Sentiment Analysis is a machine-based method for predicting if an answer is positive or negative. Microsoft offers a tool that does Sentiment Analysis in Excel - Azure Machine Learning. Traditional sentiment analysis requires a human to analyze and categorize 5% of the statements. Traditional sentiment analysis is not flexible - you will rebuild the dictionary for each industry. Excel uses MPQA Subjectivity Lexicon (read about that at http://bit. ly/1SRNevt) This generic dictionary includes 5,097 negative and 2,533 positive words Each word is assigned a strong or weak polarity This works great for short sentences, such as Tweets or Facebook posts It can get fooled by double-negatives To install, go to Insert, Excel Store, search for Azure Machine Learning Specify an input range and two blank columns for the output range. The heading for the input range has to match the schema: tweet_text Companion article at: http://sfmagazine.com/post-entry/may-2016-excel-sentiment-analysis/
Views: 5558 MrExcel.com
This brief video shows how to load the Data Analysis Add-in in Microsoft Excel 2016. Same procedure applies in Excel 2013.
Views: 19220 Joshua Emmanuel
In this video, Billy Decker of StatSlice Systems shows you how to detect categories in your data in 5 minutes with the Microsoft Excel data mining add-in.* In this example, we will uncover hidden categories or clusterings in our 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: 2971 StatSlice Systems
FREE Course! Click: https://www.teachucomp.com/free Learn about Creating a Data Model from Excel Tables in Microsoft Excel at www.teachUcomp.com. A clip from Mastering Excel Made Easy v. 2016. Get the complete tutorial FREE at http://www.teachucomp.com/free - the most comprehensive Excel tutorial available. Visit us today!
Views: 37444 TeachUComp
Import data into dynamic tables in Excel and stay up to date with latest information without browsing, Run time data or statistics analysis, maybe it be Sports information, weather forecast or statistics,connect link once and enjoy forever, illustrated with multiple examples.
Views: 21393 Excel to Excel
Predict who survives the Titanic disaster using Excel. Logistic regression allows us to predict a categorical outcome using categorical and numeric data. For example, we might want to decide which college alumni will agree to make a donation based on their age, gender, graduation date, and prior history of donating. Or we might want to predict whether or not a loan will default based on credit score, purpose of the loan, geographic location, marital status, and income. Logistic regression will allow us to use the information we have to predict the likelihood of the event we're interested in. Linear Regression helps us answer the question, "What value should we expect?" while logistic regression tells us "How likely is it?" Given a set of inputs, a logistic regression equation will return a value between 0 and 1, representing the probability that the event will occur. Based on that probability, we might then choose to either take or not take a particular action. For example, we might decide that if the likelihood that an alumni will donate is below 5%, then we're not going to ask them for a donation. Or if the probability of default on a loan is above 20%, then we might refuse to issue a loan or offer it at a higher interest rate. How we choose the cutoff depends on a cost-benefit analysis. For example, even if there is only a 10% chance of an alumni donating, but the call only takes two minutes and the average donation is 100 dollars, it is probably worthwhile to call.
Views: 191088 Data Analysis Videos
This video shows how to construct a confidence interval estimate using Data Analysis in Excel. The resulting confidence interval estimate is based on the t-distribution. How to load Data Analysis in Excel 2013-2016 https://youtu.be/SqpSwxJ9t2k
Views: 7521 Joshua Emmanuel
Sentiment Analysis using Microsoft Azure Machine Learning in excel 2016 Please click below link to get sample data https://www.kaggle.com/c/si650winter11/d
Views: 1629 Bittu Rakesh
A common task for scientists and engineers is to analyze data from an external source. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. See http://apmonitor.com/che263/index.php/Main/PythonDataAnalysis
Views: 184399 APMonitor.com
In this video you will learn how to create connection string for SQL Server or Analysis services in Excel and then you can use in Applications or such as Microsoft Dynamics to make connection to Analysis services. You can visit our blog http://sqlage.blogspot.com/ Twitter https://twitter.com/AamirSh48904922 Facebook https://www.facebook.com/SqlAge
Views: 17489 TechBrothersIT
How to use the Excel Data Analysis Tool Pack to forecast seasonal data. This is a video from our course; Excel for Decision Making Under Uncertainty. Click here to find out more: www.myonlinetraininghub.com/excel-for-decision-making-course
Views: 29950 MyOnlineTrainingHub
Segunda clase Online realizada por Data Mining Perú Business Intelligence con Power Pivot Pueden descargar los Archivos de la clase en el siguiente enlace: https://goo.gl/DrdzZv
Views: 2441 DMC Perú
Excel Crash Course for Finance Professionals - FREE | Corporate Finance Institute Enroll in the FREE full course to earn your certification and advance your career: http://courses.corporatefinanceinstitute.com/courses/excel-crash-course-for-finance The ultimate Excel crash course for finance professionals. Learn all the Excel tips, tricks, shortcuts, formulas and functions you need for financial modeling in this free online course. Key concepts include: formatting, ribbon shortcuts, if statements, eomonth, year, paste special, fill right, fill down, auto sum, sumproduct, iferror, today(), concatenate, special numbers, vlookup, index, match, xirr, xnpv, yearfrac, and much more. -- FREE COURSES & CERTIFICATES -- Enroll in our FREE online courses and earn industry-recognized certificates to advance your career: ► Introduction to Corporate Finance: https://courses.corporatefinanceinstitute.com/courses/introduction-to-corporate-finance ► Excel Crash Course: https://courses.corporatefinanceinstitute.com/courses/free-excel-crash-course-for-finance ► Accounting Fundamentals: https://courses.corporatefinanceinstitute.com/courses/learn-accounting-fundamentals-corporate-finance ► Reading Financial Statements: https://courses.corporatefinanceinstitute.com/courses/learn-to-read-financial-statements-free-course ► Fixed Income Fundamentals: https://courses.corporatefinanceinstitute.com/courses/introduction-to-fixed-income -- ABOUT CORPORATE FINANCE INSTITUTE -- CFI is a leading global provider of online financial modeling and valuation courses for financial analysts. Our programs and certifications have been delivered to thousands of individuals at the top universities, investment banks, accounting firms and operating companies in the world. By taking our courses you can expect to learn industry-leading best practices from professional Wall Street trainers. Our courses are extremely practical with step-by-step instructions to help you become a first class financial analyst. Explore CFI courses: https://courses.corporatefinanceinstitute.com/collections -- JOIN US ON SOCIAL MEDIA -- LinkedIn: https://www.linkedin.com/company/corporate-finance-institute-cfi- Facebook: https://www.facebook.com/corporatefinanceinstitute.cfi Instagram: https://www.instagram.com/corporatefinanceinstitute Google+: https://plus.google.com/+Corporatefinanceinstitute-CFI YouTube: https://www.youtube.com/c/Corporatefinanceinstitute-CFI
Views: 366643 Corporate Finance Institute
Analytics Accelerator Program, February 2016-April 2016 Batch
Views: 2466 Equiskill Insights LLP
How to use web scraping to extract data from a website
Views: 1212 Web Developer Ninja
Reliable Lean Six Sigma SPC Software Addin for Excel. Innovative design simplifies learning to a single click. Control Chart, Data Mining and Statistics Wizards make Six Sigma Simple. Download 30-day trial at www.qimacros.com This video answers the questions: 1. What is QIMacros? 2. What's is different about QIMacros? 3. Why should I choose QIMacros as my Six Sigma SPC Software?
Views: 1639 QIMacros
Includes: sorting, finding, filtering, removing duplicates, DSUM & DCOUNT, tables, data validation, subtotals and text importer wizard. Phew! Lots...
Views: 3858 University of Adelaide IT Training
Configuración complemento mineria de datos excel 2010
Views: 3250 Marco s
Презентация магистерской программы "Интеллектуальный анализ данных"
Views: 1229 НИУ ВШЭ - Нижний Новгород (official)
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/H0hz7sf0 Watch the latest video tutorials here: https://hubs.ly/H0hz8rL0 See what our past attendees are saying here: https://hubs.ly/H0hz7ts0 -- 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: 51382 Data Science Dojo