What is clustering Partitioning a data into subclasses. Grouping similar objects. Partitioning the data based on similarity. Eg:Library. Clustering Types Partitioning Method Hierarchical Method Agglomerative Method Divisive Method Density Based Method Model based Method Constraint based Method These are clustering Methods or types. Clustering Algorithms,Clustering Applications and Examples are also Explained.
Views: 100717 IT Miner - Tutorials & Travel
I've created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline. Curriculum for this video: https://github.com/llSourcell/Learn_Data_Science_in_3_Months Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Week 1 - Learn Python - EdX https://www.edx.org/course/introduction-python-data-science-2 - Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU Week 2 - Statistics & Probability - KhanAcademy https://www.khanacademy.org/math/statistics-probability Week 3 - Data Pre-processing, Data Vis, Exploratory Data Analysis - EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis Week 4 - Kaggle Project #1 Week 5-6 - Algorithms & Machine Learning - Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/ Week 7 - Deep Learning - Part 1 and 2 of DL Book https://www.deeplearningbook.org/ - Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3 Week 8 - Kaggle Project #2 Week 9 - Databases (SQL + NoSQL) - Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197 - EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2 Week 10 - Hadoop & Map Reduce + Spark - Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617 - Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf Week 11 - Data Storytelling - Edx https://www.edx.org/course/analytics-storytelling-impact-1 Week 12- Kaggle Project #3 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hiring? Need a Job? See our job board!: www.theschool.ai/jobs/ Need help on a project? See our consulting group: www.theschool.ai/consulting-group/ Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 301899 Siraj Raval
Big Data Analytics. Provides an overview of data scientist definition, jobs, skills, and example of projects. Becoming Data Scientist: https://goo.gl/JWyyQc Introductory R Videos: https://goo.gl/NZ55SJ Machine Learning videos: https://goo.gl/WHHqWP Deep Learning: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi Text mining: https://goo.gl/7FJGmd Data Visualization: https://goo.gl/Q7Q2A8 Playlist: https://goo.gl/iwbhnE
Views: 57255 Bharatendra Rai
In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst. ► Full Playlist Explaining Data Jargon ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for Data Analysts ( https://youtu.be/Vtk50Um_yxA ) ► Break Into the Data Industry with the best data analytics online learning resources from Edureka! ( http://bit.ly/2yCbsac ) --- affiliate link to help support this channel!^ Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor I receive a lot of questions about what it takes to become a data analyst and what is a data analyst. Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry What will you actually be asked to do on the day to day as a data analyst. ► Top 4 Responsibilities in the Daily Life of a Data Analyst: 1 ) Mathematics Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics. - Addition - Subtraction - Multiplication - Division - Most Importantly --- Statistics Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you. 2 ) Computer Programming You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data. Before we move on let me define the term Query, if it does not resonate with you. You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data. ► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) 3 ) Know the Tools of the Trade Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc... As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate: - Duplicated data - Improperly formatted data - Incomplete data - Inaccurate data - This data will corrupt your findings and could possibly lose you client or employer millions of dollars. Make sure you know how to use those data analytics tools WELL! 4 ) Communicate and Present Insights Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives. Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best. The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide. Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don't know what's inside, but it is screaming opportunity from the darkness. TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond. ► Edureka Big Data Masters Program ( http://bit.ly/2yCbsac ) affiliate link^ ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Computer ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel!
Views: 121675 Ben G Kaiser
In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it). The example I use is preparing a dataset of brain scans to classify whether or not someone is meditating. The challenge for this video is here: https://github.com/llSourcell/prepare_dataset_challenge Carl's winning code: https://github.com/av80r/coaster_racer_coding_challenge Rohan's runner-up code: https://github.com/rhnvrm/universe-coaster-racer-challenge Come join other Wizards in our Slack channel: http://wizards.herokuapp.com/ Dataset sources I talked about: https://github.com/caesar0301/awesome-public-datasets https://www.kaggle.com/datasets http://reddit.com/r/datasets More learning resources: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/ https://www.youtube.com/watch?v=kSslGdST2Ms http://freecontent.manning.com/real-world-machine-learning-pre-processing-data-for-modeling/ http://docs.aws.amazon.com/machine-learning/latest/dg/step-1-download-edit-and-upload-data.html http://paginas.fe.up.pt/~ec/files_1112/week_03_Data_Preparation.pdf Please subscribe! And like. And comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 191393 Siraj Raval
Current Giveaway - http://bit.ly/HowMuchGiveAway Nviddia GTX 1080 Ti - https://amzn.to/2Hiw5xp 6X GPU Mining Rig Case - https://bitcoinmerch.com/products/crypto-coin-open-air-mining-frame-rig-case-6-gpus-eth-btc-ethereum-6-fans PCI-E Raisers -https://bitcoinmerch.com/products/6-pcs-usb-3-0-pcie-pci-e-express-1x-to-16x-extender-riser-card-adapter-cable 1000W EVGA G2 Power Supply - https://bitcoinmerch.com/products/evga-210-gq-1000-v1-gq-80-plus-gold-1000w-eco-mode-semi-modular-power-supply SanDisk SSD PLUS 120GB Solid State Drive - https://goo.gl/JtBk1D 4gb DDR4 Ram - https://bitcoinmerch.com/products/dell-4-gb-certified-memory-module-1rx8-ddr4-udimm-2133mhz-non-ecc Asus 6 PCI-E Motherboard for LGA 1151 - https://bitcoinmerch.com/products/copy-of-gigabyte-ga-h110-d3a-rev-1-0-lga-1151-intel-h110-sata-6gb-s-usb-3-1-atx-intel-motherboard Intel BX80677G3930 7th Gen Celeron CPU - https://goo.gl/je75jC Total cost: Around $7000+ Profit: $45 - $55 per day. Electricity Cost - $120 Per month. Profit per month after electricity cost $1230 ROA in less than 6 months. Forum Post - https://goo.gl/ZL7ED2 TRACK LIST 00:00 - Ehrling - Sthlm Sunset - https://soundcloud.com/ehrling/ehrlin... 02:53 - Ehrling - Stay Forever Ft. Yohanna Seifu - https://soundcloud.com/ehrling/ehrlin... 06:06 - Ehrling - All I Need - https://soundcloud.com/ehrling/ehrlin... 08:39 - Ehrling - Palm Trees - https://soundcloud.com/ehrling/ehrlin... 12:02 - Ehrling - Adventure - https://soundcloud.com/ehrling/ehrlin... 14:11 - Ehrling - No Worries (Feat. Timon & Pumbaa) - https://soundcloud.com/ehrling/no-wor... 17:21 - Ehrling - Tease - https://soundcloud.com/ehrling/ehrlin...
Views: 1171096 How Much?
https://upgrad.com/data-analytics/ Thanks to the digital revolution, analytics is sweeping across industries in a huge way. Mastering certain data analytics skills can enable you to chart a successful career in this lucrative and rapidly changing domain. Data analytics is changing the way we live - from that app you use to navigate to work every day or the cabs you hail through your phone, or the platforms you order food from, to the online shopping you find yourself doing on weekends. All of this activity generates massive amounts of data. This is where companies who have created these products come in. Analytics is changing the way we also do business. Deriving insights from large volumes of data to enable better decision-making and an even better customer experience has become the norm for competitive firms these days. Which is why being a data analyst in this world pays off well. Through this UpGrad Careers-In-Shorts Series, let us go through all you need to know about data analytics - the most promising career of tomorrow! The first one here is about the 4 core skills that will help you transition to the field of data analytics - a career of the future.
Views: 38869 Rohit Sharma
Most people view building a mining rig as an expensive or confusing thing to do. However, we break down what exactly you need for your mining rig & how to do it for as little cost as possible. G3900 CPU: http://amzn.to/2CLBR82 H110 Mobo: http://amzn.to/2BE2dtn 4GB RAM: http://amzn.to/2CKSWiC 128GB SSD: http://amzn.to/2BmAOPX 500W PSU: http://amzn.to/2CJ51F1 Mining Frame: http://amzn.to/2Bpd9Ow AMD RX GPU's: http://amzn.to/2CLdh7u For PC parts: • Buy from Amazon in US: http://amzn.to/2krqEWz • Buy from Wootware in SA: https://goo.gl/LHuwN5 • Buy Mining stuff on Amazon: http://amzn.to/2BsFwLw • You can support us on Patreon: https://www.patreon.com/UFDTech • Bitcoin Dono Address: 1G5n6qFafWSYf8CZikZTXXcThpoxKeXK1K Video was edited on: • X399 Gaming Pro Carbon: http://amzn.to/2iPnnzB • Threadripper 1950X: http://amzn.to/2ikITbh • MSI RX Vega 64: http://amzn.to/2A2JW7Q • Trident Z RGB: http://amzn.to/2prkDHI • Corsair H100i: http://amzn.to/2gRg0mU • ASUS PCI WiFi Adapter: http://amzn.to/2teOAwm • Enthoo Evolv: http://amzn.to/2oHZU5o • Corsair LL 120's: http://amzn.to/2z1w25M • Thermaltake Toughpower RGB 850W: http://amzn.to/2lSKNUv Video was shot on: • Panasonic GH4: http://amzn.to/2tyKUpJ • Sigma 18-35 f1.8: http://amzn.to/2tyDKBB • Tascam DR-40: http://amzn.to/2tRVLxo • AKG Lavalier Mic: http://amzn.to/2uzaVW3 • Rode VideoMic Pro: http://amzn.to/2uzxOZf • Benro Tripod & Head: http://amzn.to/2u0P9xk • Godox LED Lights: http://amzn.to/2uTeHJ2 For the intro/outro music by Kalyptra: https://goo.gl/KyLzTB For the music in the video: https://goo.gl/IMZC9A My Twitter - http://www.twitter.com/ufdisciple My Facebook - http://www.facebook.com/ufdtech My Instagram - http://www.instagram.com/ufdtech Thanks to Reece Hill for filming the video! Executive Producer: Ronald Bodinger
Views: 347315 UFD Tech
A data mining project as part of requirements for Applied Data Mining at Rockhurst University. This presentation explores the mining of data utilizing R programming. Methods used are Decision Tree and Linear Regression models to predict the outcome of whether a customer will default on their next monthly credit card payment.
Views: 2188 Jonathan Walker
In this video, we show you how you can start analyzing your own process with the process mining software Disco (http://fluxicon.com/disco/) in less than five minutes. After watching this video, you will know the data requirements for process mining by heart, you will be able to identify suitable use cases, and you can put your new skills to use right away, on your own process. Here is what you will learn: 1. What is process mining, and why do I need it? 2. How does it work? 3. Process mining with Disco 4. Case studies Watch this video to get started with process mining and then download the free demo version of Disco from our website here: http://fluxicon.com/disco/. If you need an extended evaluation license, get in touch with Anne at [email protected].com.
Views: 18813 Fluxicon Process Mining
by Andreas Platschek At: FOSDEM 2017 One of the major challenges for certification in the SIL2LinuxMP project, isto show that Linux does not only define a development process, but alsofollows it. To this end (and far beyond!) the meta-data of commits to theLinux kernel are analyzed. The talk covers everything from gathering the data, to distributing it toevery one in the project while keeping it the data up-to-date and of courseour first analysis results. Each of these phases contain their own set ofproblems that needed to be considered, leading to a framework called DLCDM(Development Life-Cylce Data-Mining) that is introduced for the first timeduring this talk. One of the major challenges for certification in the SIL2LinuxMP project, isto show that Linux does not only define a development process, but alsofollows it. To this end (and far beyond!) the meta-data of commits to theLinux kernel are analyzed. There are several intended outputs we hope to getout of this analysis, some examples are: - Competence of persons involved (IEC 61508-1, 6.2.13/6.2.14) - Dependencies amongst developers (Independence of persons doing code reviews) - Identify patches that did not get enough review (based on patch complexity, experience of author, reviews, etc.) - Automatic notification of patches in our configuration - Bug analysis (based on Fixes: tag) - Subsystem dependencies and conflicts The talk covers everything from gathering the data, to distributing it toevery one in the project while keeping it the data up-to-date and of courseour first analysis results. Each of these phases contain their own set ofproblems that needed to be considered, leading to a framework called DLCDM(Development Life-Cylce Data-Mining) that is introduced for the first timeduring this talk. Room: UD2.120 (Chavanne) Scheduled start: 2017-02-04 12:00:00
Views: 233 FOSDEM
Data mining is one of the unique techniques for analyzing information to extract certain data patterns and make a decision to an outcome of the existing requirements. Data mining is widely used in client research, services analysis, market research and so on. It is totally based on a mathematical algorithm and analytical abilities to drive the desired outcomes from the huge data resource collection. For more details contact us at https://www.dataplusvalue.com/data-mining-services-india.html or call us at +91 8377013007
Views: 3 DataPlusValue
What kind of laptop should you get if you want to do machine learning? There are a lot of options out there and in this video i'll describe the components of an ideal laptop for ML. I'll also mention the ideal desktop, DIY machine, and cloud option. We'll discuss how RAM, GPUs, CPUs, motherboards, hard drives, and other components affect training and inference time. This video was not sponsored. Only a few days left to signup for my dapps course! https://www.theschool.ai Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Helpful resources: https://lambdal.com/raw-configurator?product=quad https://www.nvidia.com/en-us/geforce/products/10series/laptops/ https://www.google.com/chromebook/device/acer-chromebook-11/ https://medium.com/yanda/building-your-own-deep-learning-dream-machine-4f02ccdb0460 https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 267059 Siraj Raval
#kmean datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 432291 Last moment tuitions
📚📚📚📚📚📚📚📚 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: 32892 5 Minutes Engineering
http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud detection? One of the more obvious, important uses in our world today. fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com
Views: 828080 Hitesh Choudhary
This video discuss How to become a data analyst in India. For more videos on Jobs &Careers :https://www.youtube.com/channel/UCEFTTJFLp4GipA7BLZNTXvA?view_as=subscriber For aptitude classes :https://www.youtube.com/watch?v=lxm6ez2cx6Y&list=PLjLhUHPsqNYnM1DmZhIbtd9wNhPO1HGPT Every business collects data such as sales figures, market research, logistics, or transportation costs. A data analyst's job is to take that data and analyse it to help companies make better business decisions. Some examples of a data analyst basic job functions include: 1) estimating market shares; 2) establishing a price of new materials for the market; 3) reducing transportation costs; 4) timing of sales and 5) figuring out when to hire or reduce the workforce.Data analysts are responsible for collecting, manipulating, and analyzing data. How To Get There? By obtaining a university degree, learning important analytical skills, and gaining valuable work experience, you can become a successful data analyst. A bachelor's degree is needed for most entry-level jobs, and a master's degree will be needed for many upper-level jobs. To become an initial level data analyst, you’ll have to earn a degree in a subject such as mathematics, statistics, economics, marketing, finance, or computer science. Higher level data analyst jobs may require a master’s or doctoral degree, and they usually guarantee higher pay. Individuals looking for data analyst jobs must be knowledgeable in computer programs such as Microsoft Excel, Microsoft Access, SharePoint, and SQL databases. Data analysts also must have good communication skills, as they must have an open line of communication with the companies with which they work. Lets see some of the Best courses on Analytics offered in India. 1. Advanced Analytics for Management – IIM This program enables practitioners, managers, and decision-makers to use advanced analytics for better decision-making 2. Analytics Essentials – IIIT, Bangalore “Analytics Essentials”is a 3 months week-end program by International Institute of Information Technology Bangalore (IIITB)providing a foundational certification course in Business Analytics 3. Business Analytics and Intelligence (BAI) – IIM Bangalore This course provides in-depth knowledge of handling data and Business Analytics’ tools that can be used for fact-based decision-making. The participants will be able to analyse and solve problems from different industries such as manufacturing, service, retail, software, banking and finance, sports, pharmaceutical, aerospace etc. 4. Certificate Program in Business Analytics – ISB, Hyderabad A combination of classroom and Technology aided learning platform, .Participants will typically be on campus for a 5 day schedule of classroom learning every alternate month for a span of 12 months, which would ideally be planned to include a weekend. 5. Data Analysis Online courses – SRM University SRM University offers part time online courses in data analysis in collaboration with Coursera, edX, Udacity. 6. Executive Program in Business Analytics – IIM Calcutta This executive 1 year long distance program is designed to expose participants to the tools and techniques of analytics. The program covers topics such as Data Mining, Soft Computing, Design of Experiments, Survey Sampling, Statistical Inference, Investment Management, Financial Modelling, Advanced marketing Research etc. 7. Executive Program in Business Analytics and Business Intelligence – IIM Ranchi Course duration is 3 months. Classes will be conducted by eminent professors and industry experts in the weekends in Mumbai/ Kolkata /Delhi /Bengaluru and in addition to these, there will be one-week learning in IIM Ranchi. 8. Jigsaw Academy courses Jigsaw Academy provides some online analytics courses.Their courses include; Foundation Course in Analytics Data Science Certification Human Resources (HR) Analytics Course Big Data Analytics Using Hadoop and R Advanced Certification in Retail Analytics Advanced Course in Financial Analytics Analytics with R Great Lakes PG Course in Business Analytics 9. M. Tech. Computer Science and Engineering with Specialization in Big Data Analytics – VIT VIT offers full time course in Big Data analysis to promote an academic career for further research in theoretical as well as applied aspects of Big Data Analytics 10. M.Tech (Database Systems) – SRM University SRM University offers a two year full time course in database systems where the students are exposed to theoretical concepts complemented by related practical experiments. 11. M.Tech Computer Engineering and Predictive Analytics – Crescent Engineering College Salary The Salary of Data analysts depends on job responsibilities. An entry-level data analyst with basic technical tools might be looking at anything from Rs. 5 lakhs to 12 lakhs per year. A senior data analyst with the skills of a data scientist can command a high price. #dataanalyst #careeroptions #datascience
Views: 46331 Freshersworld.com Jobs & Careers
Get Recruitment Notifications of all private and govt jobs , Mock test details ,Previous year question papers only at Freshersworld.com – the No.1 jobsite for entry level candidates in India. (To register : http://freshersworld.com?src=Youtube ) – This video is all about “Careers and Training courses for Big Data There are a handful of working definitions for big data, but to me it is most simply put as data sets so large and complex that it becomes difficult or impossible to process them using traditional database management applications. Granted, the term may apply differently to different organizations. For a smaller company, facing hundreds of gigabytes of data for the first time may trigger a need to explore new tools. Other companies that generate tons of transactional data, like UPS, wouldn't flinch with their existing toolsets until they hit tens or hundreds of terabytes. For freshers who wants to start learning big data here are a few tips: 1. Begin with the basics: If you are looking at building a career in big data, you can start with developing the core aptitudes such as curiosity, agility, statistical fluency, research, scientific rigor and skeptical nature. You have to decide which facet of data investigation (data wrangling, management, exploratory analysis, prediction) are you looking at acquiring. The first step to learning big data is to develop basic level of familiarity with programming languages. 2. Experience in programming languages: Begin with developing basic data literacy and an analytic mindset by building knowledge of programming languages such as Java, C++, Pig Latin and HiveQL. Figure out where you want to apply your data analytics skills to describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations. 3. Expertise in Hadoop: Developing knowledge about Hadoop Map-Reduce and Java is essential if you’re looking to be a high-performance data software engineer. 4. What are you looking for? If you are looking for a career switch to big data, begin with developing the skill sets required to work with Hadoop. A well-rounded understanding of Hadoop requires experience in large-scale distributed systems and knowledge of programming languages. 5. Data Analytics Skills: If you want to learn the fundamentals and want to get an indepth understanding of every aspect of Big Data, the resource material provided by Apache’s library is very useful. The Hadoop programme offered by Apache is an open-source software for reliable, scalable, distributed computing. Some of the other programmes offered are HBase Hive, Mahout, Pig ZooKeeper. 6. Online Courses: The big data universe is still very young, to get a well rounded expertise in big data it is important to learn and hone skills related to the subject. Decide on the course based on the skill set you're looking to get. Just by dedicating some time and energy, you can tackle learning big data with these free online classes. Applications of Big Data Big data includes problems that involve such large data sets and solutions that require a complex connecting the dots. You can see such things everywhere. 1. Quora and Facebook use Big data tools to understand more about you and provide you with a feed that you in theory should find it interesting. The fact that the feed is not interesting should show how hard the problem is. 2. Credit card companies analyze millions of transactions to find patterns of fraud. 3. There are similar problems in defense, retail, genomics, pharma, healthcare that requires a solution. The companies offering jobs on Big Data are : Qualcomm India Pvt Ltd, Accenture, Dev Solutions So let us summarize as Big Data is a group of problems and technologies related to the availability of extremely large volumes of data that businesses want to connect and understand. The reason why the sector is hot now is that the data and tools have reached a critical mass. This occurred in parallel with years of education effort that has convinced organizations that they must do something with their data treasure. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube Download our app today to manage recruitment when ever and where ever you want : Link :https://play.google.com/store/apps/details?id=com.freshersworld.jobs&hl=en ***Disclaimer: This is just a training video for candidates and recruiters. The name, logo and properties mentioned in the video are proprietary property of the respective organizations. The Preparation tips and tricks are an indicative generalized information. In no way Freshersworld.com, indulges into direct or indirect promotion of the respective Groups or organizations.
Views: 83650 Freshersworld.com Jobs & Careers
This video will show you how to start bitcoin mining from home. It's very easy and "free" to do if you have a gaming PC. ******************************************************************** Any Donations Are Welcome ►Paypal https://www.paypal.me/WeDoTechWDT ►Bitcoin 1KGESqGNeFBsouKCKEYzhyf6nKhFqAyuM4 ►Ethereum 0x3da0ce6f05765c61ffee9aa0d43e585e2420c3d2 ►Zcash t1JVneAaxywmymbjBx9jNPTJ48Ftf2qeMcW Bitcoin Wallet https://app.wirexapp.com/join/9vX02iahhkunpa5S5drbyA Nicehash Miner https://www.nicehash.com Nicehash Profitability Calculator https://www.nicehash.com/index.jsp?p=calc ******************************************************************** Cheapest Computer Parts in South Africa Rebel Tech (South Africa) ►Shop - https://goo.gl/BSq15c ►Facebook - https://www.facebook.com/rebeltechcc/ ******************************************************************** Cheapest Games Online ►https://www.g2a.com/r/wedotech ******************************************************************** Social Media: ►Instagram: https://www.instagram.com/we_do_tech/ ►Twitter: https://twitter.com/_WeDoTech_ ►Facebook: https://www.facebook.com/wedotech/ Website: www.wedotech.co.za ********************************************************************
Views: 522462 We Do Tech
** 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: 266050 edureka!
CRISP-DM stands for Cross-Industry Standard Process for Data Mining, is an industry-proven way to guide your data mining efforts. This talk covers this dominant process, what it is, how it is developed, where it is today and why it's time for you to get involved.
Views: 5709 PyData
** Data Scientist Masters Program: https://www.edureka.co/masters-program/data-scientist-certification ** This edureka video on Data Science will introduce you to the concepts of Data Science and how it is used to solve real-world problems. You will learn how Data Science works with an example on UBER. Data is everywhere, and its growing at an exponential rate. So, Data science is the process of using the data to find solutions / to predict outcomes of a problem statement. Below are the topics covered in this video: 0:57 What is Data Science? 1:11 How Data Science works? : Data Science at UBER 2:06 Data Science Process a. Business Requirements b. Data Collection c. Data Cleaning d. Data Exploration and Analysis e. Data Modelling f. Data Validation g. Deployment and Optimization 4:17 Data Science Applications 6:05 Who is a Data Scientist? 6:18 Data Scientist Job Trends 6:51 Data Scientist Skills Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS Machine Learning Podcast: https://castbox.fm/channel/id1832236 Instagram: https://www.instagram.com/edureka_learning/ Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #edureka #DataScienceEdureka #whatisdatascience #Datasciencein8minutes #Datasciencecourse #datascience - - - - - - - - - - - - - - About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)
Views: 19032 edureka!
#etl #datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected]mail.com Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 70143 Last moment tuitions
** NLP Using Python: - https://www.edureka.co/python-natural-language-processing-course ** This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics. The following topics covered in this video : 1. The Evolution of Human Language 2. What is Text Mining? 3. What is Natural Language Processing? 4. Applications of NLP 5. NLP Components and Demo Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV --------------------------------------------------------------------------------------------------------- Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ --------------------------------------------------------------------------------------------------------- - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 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 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 Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. -------------------------- Who Should go for this course ? Edureka’s NLP Training is a good fit for the below professionals: From a college student having exposure to programming to a technical architect/lead in an organisation Developers aspiring to be a ‘Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Text Mining Techniques 'Python' professionals who want to design automatic predictive models on text data "This is apt for everyone” --------------------------------- Why Learn Natural Language Processing or NLP? Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users. NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data. --------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 50903 edureka!
Data mining Assignment help services at Globalwebtutors are available 24/ by online Data mining experts , Data mining tutors are available for instant Data mining questions help , Data mining writers can help you with complex Data mining dissertation requirements. [email protected] + 1-646-513-2712
Views: 7 jhon smith
A Goal oriented Requirement Analysis Approach for the Selection of Data Mining Techniques for Non Ex IEEE PROJECTS 2018-2019 TITLE LIST Call Us: +91-7806844441,9994232214 Mail Us: [email protected] Website: : http://www.nextchennai.com : http://www.ieeeproject.net : http://www.projectsieee.com : http://www.ieee-projects-chennai.com : http://www.24chennai.com WhatsApp : +91-7806844441 Chat Online: https://goo.gl/p42cQt Support Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Video Tutorials * Supporting Softwares Support Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * Remote Connectivity * Document Customization * Live Chat Support
Views: 1 IEEE PROJECTS CHENNAI
For the full presentation contact [email protected] Changing Requirements of Business Analytics in Financial Services was presented by Jon Farrar at the 2012 Salford Analytics and Data Mining Conference (ADMC) in San Diego, CA.
Views: 104 Salford Systems
Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #OPTICS Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj OPTICS is a density based clustering technique in data mining for identifying arbitrary shaped clusters. Watch Now ! OPTICS هي تقنية تجميع تعتمد على الكثافة في التنقيب عن البيانات لتحديد المجموعات العشوائية. شاهد الآن ! ОПТИКА - это метод кластеризации на основе плотности при добыче данных для идентификации кластеров произвольной формы. Смотри ! OPTICS es una técnica de agrupación basada en la densidad en la minería de datos para identificar clusters con formas arbitrarias. Ver ahora ! OPTICS ist eine dichte-basierte Clustering-Technik im Data Mining zur Identifizierung beliebig geformter Cluster. Schau jetzt ! OPTICS est une technique de clustering basée sur la densité dans l'exploration de données pour identifier des groupes de formes arbitraires. Regarde maintenant ! OPTICS é uma técnica de clustering baseada em densidade em mineração de dados para identificar clusters de forma arbitrária. Assista agora ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 3104 Ranji Raj
http://www.visacoach.com/visa-denial-social-media-data-mining.html USCIS recently hired contractors to research social media to provide additional data for the extreme vetting of Fiance, Spouse and other visa applicants. Expect one’s social media “skeletons” to lead to denial. To Schedule your Free Consultation with Fred Wahl, the Visa Coach visit http://www.visacoach.com/talk.html or Call - 1-800-806-3210 ext 702 or 1-213-341-0808 ext 702 Bonus eBook “5 Things you Must Know before Applying for your Visa” get it at http://www.visacoach.com/five.html Fiancee or Spouse visa, Which one is right for you? http://imm.guru/k1vscr1 What makes VisaCoach Special? Ans: Personally Crafted Front Loaded Presentations. Front Loaded Fiance Visa Petition http://imm.guru/front Front Loaded Spouse Visa Petition http://imm.guru/frontcr1 K1 Fiancee Visa http://imm.guru/k1 K1 Fiance Visa Timeline http://imm.guru/k1time CR1 Spousal Visa http://imm.guru/cr1 CR1 Spouse Visa Timeline http://imm.guru/cr108 Green Card /Adjustment of Status http://imm.guru/gc USCIS recently announced new contracts given to companies to search through social media to collect data on Fiance and other visa applicants. Collection starts October 18. If you have any "suspect" exposure, you have only a few more days to take it down. One of VisaCoach's clients has already experienced denial due to his Facebook presence. This couple's case was as near perfect as we have seen. They were young and in love. They had known each other for a few years and had met more than once. They were evenly matched by age, values and religion. Their "front loaded" petition was awesome and included many solid evidences of their bona fides. The American sponsor even accompanied his fiancé to the interview to demonstrate his sincerity and support for the petition. After a brief interview where the sponsor was not allowed to join in nor asked any questions before, during or after, the consular officer, denied the case. The couple was devastated and confused. What could have gone wrong? A consular officer who exhibits professionalism will state the reasons for denial in writing. And provide this to the rejected applicant immediately, often at the close of the interview itself. You may not agree with the decision, but at least know what it was and then have a starting point for renewed efforts. The officer refused to provide any verbal or written explanation. All the couple had was the fiancee's memory of the interview. I asked her to write a transcript of what happened, to recall exactly what was said and even what the body language was, so that we could study this in an attempt to reconstruct what MIGHT have been in the consular officer’s mind. What seemed odd and out of context, was the consular officer made some comments about "conservative values" and what is a "woman's role in society and in the home". Those comments seemed rather strange at the time and the foreign born fiancé had no idea where those comments came from. Eventually it dawned on us. The American sponsor is active on FaceBook. He is outspoken and his views are somewhat "anti feminist". He had posted on his social media pages, and entered into many online debates, his ideas on conservative values, and HIS ideas about a women's role in the home and society. He is not a bad guy. Not a bad husband. He was just expressing his free speech. He just had some strong views that are not popular, that are not considered "politically correct". The consular officer did her own internet search, found his activity and "Was NOT amused", and denied, putting this loving couple's life's on hold. Was it fair or reasonable that they were denied?. No, I don't think so. Happy end to the story. We took down his Facebook account, reapplied, and six months later they had their visa and began their married life together in Alaska. One random consular officer searching on Facebook ended in a denial. What will happen when ALL Fiance and Spouse applications are accompanied by a detailed dossier of one's online statements, comments jokes, embarrassments, positive and negative feedback from friends or trolls? Expect disaster. Expect many more denials, simply due to exercising a US Citizen's right to free speech. In Conclusion: "Freedom of Speech", doesn't mean freedom to get your visa. The prudent path is prior to applying for a Fiance or Spouse visa to make sure there are no skeletons in your online closet. Clean or temporarily remove, or make private, potentially controversial aspects of your online and public presence before proceeding with your visa application.
Views: 15915 Visa Coach
Author Jane Cleland-Huang provides an audio recording of the Requirements column, in which she discusses how basic data-mining skills can be useful for processing domain documents early during requirements engineering. From IEEE Software's May/June 2015 issue: http://www.computer.org/csdl/mags/so/2015/03/index.html. Visit IEEE Software: http://www.computer.org/software.
Views: 625 ieeeComputerSociety
Reach out to us on www.techontea.com Subscribe to our Channel and Follow us on Social Media to stay updated How to Create Excel Database File and Open in Orange 1. Open Microsoft Excel 2. Create New File 3. Create Tables and Add Values 4. Save File 5. Open Orange Data Mining Tool Currently there is no data shown, now we will open our Exel File 6. Open Excel Data File Now you can see the Excel Data in Data Table, Orange is able to identify the Data Type Automatically like Text, Numeric, Categorical Thank you for watching this Video Hope it was Helpfull Subscribe and Stay connected with us! 👉 Subscribe on YouTube: https://goo.gl/hJCieo 👉 Like us on Facebook: https://www.facebook.com/techontea 👉 Follow us on Twitter: https://twitter.com/techontea 👉 Follow us on Instagram: https://www.instagram.com/techontea You can always ask for a solution buy just filling your query details on www.techontea.com We will make sure to provide you your solution as soon as possible About: Tech on Tea a show where we talk about Blogging, WordPress, SEO, Entrepreneurship. IT Solutions and give resolutions and tips for your IT Requirements. If you are looking for any technology solutions, learning new things and want to get a standard resolutions for your issues than, this channel is perfect fit for you. Subscribe to stay updated with channel updates.
Views: 48 Tech on Tea
This video tutorial on Master Data Management provides information about considering various aspects during requirement gathering for MDM projects. You can visit Informatica related videos here : https://www.youtube.com/watch?v=twIkRnMeJ9w&list=PLRt-r4QiDOMcXBly04UU4-BdLZsIjzrHj&index=1 Website: http://guru4technoworld.wix.com/technoguru Facebook : https://www.facebook.com/a2zoftech/
Views: 1252 Sandip M
. In this video topics like Elements of data warehouse Trends in data warehousing Data warehouse project planning Data warehouse project management this is just in breif coverage of of the Subject #learnwithsahuji #dwhmwithsahuji
Views: 197 Learn With Sahuji
Job Roles For DATA ENTRY OPERATOR : Know more about job roles and responsibility in DATA ENTRY . Coming to DATA ENTRY OPERATOR opportunities for freshers in India,Visit http://www.freshersworld.com?src=Youtube for detailed information,Job Opportunities,Education details and Career growth of DATA ENTRY OPERATOR. No matter what your educational background is, data entry operator jobs are available for all fresh candidates. People usually do not seek this position thinking that this is a low-level job. As a matter of fact, it is not lower than any other entry level position in corporate world. The main job of a data entry operator is to update, add and maintain data in a system or managing databases. The data entry operator is expected to insert or add data related to the company (both text and numerical) from a source file provided by the company. The candidate should also verify and sort the information as per given instruction. Other operational work includes generating routine reports and filing documents related to their work. Mostly, freshers with bachelor degree in arts and science are sought for this position. Even diploma candidates are opted for this position by many companies. Usually, candidates with professional degree, master degree or doctorate would not be sought for this position. The basic requirements are a) Knowledge and savvy in computer operation b) Expertise in MS-Office and other related software c) High typing speed – minimum market requirement is 40 WPM with 95% accuracy. d) Basic communication skills in English Usually, the candidates with good computer skill would be sought without regards to their educational background. Rotational shifts are rare and both male and female are sought. This job is also available in working-from-home option in some companies. There are short terms courses with certification for data entry offered by many institutions. Though it is not an essential certification, it would give a competitive edge over other candidates. Those who have working knowledge of Tally are sought for accountancy related data entry with a slightly higher pay. The same goes for those with commerce related educational background. With an increase in growth of BPO industry in India, there is a very high demand for data entry specialists. With one to three years experience in data entry, one can apply for jobs related to data management, document imaging, data mining, data processing and other related fields. If you want to grow in the same field, with three or more years of experience in data entry job, you can apply for senior data entry position or data analyzer positions. With more experience, you can apply for managerial positions like transaction processor, document processor and many others. Your scope is not restricted to back office operations. Candidates with a few years of experience in data entry can take up operational related jobs in KPO and customer service department. Yet, they would be considered as fresher in the new department. This job is for those who do not have a fancy degree and yet, want to take up corporate job. With this job, entry into corporate world becomes easy for all kinds of candidates. The academic excellence is not an important qualification for this job. Thus, candidates with backlog and those with moderate communication skill can apply for this position if, their typing skill is excellent. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
Views: 234924 Freshersworld.com Jobs & Careers
[Streamed version. Front & back trimmed. Slide issue in beginning.] An edited version is available: https://www.youtube.com/watch?v=ANqB72b0r38 Slides: http://www.slideshare.net/gregmakowski/kamanja-driving-business-value-through-realtime-decisioning-solutions Greg Makowski, Director of Data Science, LigaDATA This talk will start with a number of complex data real-time use cases, such as a) complex event processing, b) supporting the modeling of a data mining department and c) developing enterprise applications on Apache big-data systems. While Hadoop and big data has been around for a while, banks and healthcare companies tend not to be early IT adopters. What are some of the security or roadblocks in Apache big data systems for such industries with high requirements? Data mining models can be trained in dozens of packages, but what can simplify the deployment of models regardless of where they were trained or with what algorithm? Predictive Modeling Markup Language (PMML), is a type of XML with specific support for 15 families of data mining algorithms. Data mining software such as R, KNIME, Knowledge Studio, SAS Enterprise Miner are PMML producers. The new open-source product, Kamanja, is the first open-source, real-time PMML consumer (scoring system). One advantage of PMML systems is that it can reduce time to deploy production models from 1-2 months to 1-2 days - a pain point that may be less obvious if your data mining exposure is competitions or MOOCs. Kamanja is free on Github, supports Kafka, MQ, Spark, HBase and Cassandra among other things. Being a new open-source product, initially, Kamanja supports rules, trees and regression. I will cover an architecture of a sample application using multiple real-time open source data, such as social network campaigns and tracking sentiment for the bank client and its competitors. Other real-time architectures cover credit card fraud detection. A brief demo will be given of the social network analysis application, with text mining. An overview of products in the space will include popular Apache big data systems, real-time systems and PMML systems. For more details: http://kamanja.org/ http://www.meetup.com/SF-Bay-ACM/events/223615901/ http://www.sfbayacm.org/event/kamanja-new-open-source-real-time-system-scoring-data-mining-models Venue sponsored by eBay, Food and live streaming sponsored by LigaDATA, San Jose, CA, July 27, 2015 Chapter Chair Bill Bruns Data Science SIG Program Chair Greg Makowski Vice Chair Ashish Antal Volunteer Coordinator Liana Ye Volunteers Joan Hoenow, Stephen McInerney, Derek Hao, Vinay Muttineni Camera Tom Moran Production Alex Sokolsky Copyright © 2015 ACM San Francisco Bay Area Professional Chapter
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Lesson 2: Building a Forecasting Scenario (Intermediate Data Mining Tutorial) - Adding a Data Source View for Forecasting (Intermediate Data Mining Tutorial) + Understanding the Requirements for a Time Series Model (Intermediate Data Mining Tutorial) - Creating a Forecasting Structure and Model (Intermediate Data Mining Tutorial) - Modifying the Forecasting Structure (Intermediate Data Mining Tutorial) - Customizing and Processing the Forecasting Model (Intermediate Data Mining Tutorial) - Exploring the Forecasting Model (Intermediate Data Mining Tutorial) - Creating Time Series Predictions (Intermediate Data Mining Tutorial) - Advanced Time Series Predictions (Intermediate Data Mining Tutorial) + Time Series Predictions using Updated Data (Intermediate Data Mining Tutorial) + Time Series Predictions using Replacement Data (Intermediate Data Mining Tutorial) + Comparing Predictions for Forecasting Models (Intermediate Data Mining Tutorial)
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A version of this video with closed captions can be accessed at https://youtu.be/tmV2HZF4i1Y. In this webinar hosted by James Bell Associates on May 18, 2017, Dr. Dana Weiner discusses strategies for mining administrative data for the purpose of assessing the characteristics and needs of at-risk child welfare populations. Using examples from a federal Permanency Innovations Initiative (PII) grantee in Illinois, Dr. Weiner identifies the key requirements of productive data mining, steps in the data mining process, and useful statistical techniques for analyzing and making sense of administrative data. We accept comments in the spirit of our comment policy: https://www.hhs.gov/web/socialmedia/policies/comment-policy.html
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Florida Atlantic University Department of Computer and Electrical Engineering and Computer Science Data Mining and Machine Learning and Empirical Software Engineering Lab
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FIB Master's Degrees are official university studies within the framework of the European Higher Education Area (EHEA). Your degree is acknowledged all across the globe and it meets EU’s requirements. More information at: http://masters.fib.upc.edu/ The master empowers graduates with solid knowledge and hands-on experience on the techniques to manage, analyze and extract hidden knowledge from Big Data ensembles, either structured and unstructured, and to build adaptive Analytic systems able to exploit that knowledge in modern organizations. In particular the master addresses the new challenges of the smart society bloom: fraud detection, bioinformatics, extracting information from open linked data, real time analysis of sensor data and social networks, and customer relationship management,
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Learn What is Data Entry and What about the Data Entry Operator Job, How to Get it data entry job ,Required Skills,Meaning,Types of Data entry in Hindi. Good typing and numeric key entry skills are a common prerequisite. Knowledge of database software, spreadsheets, and word processing is helpful. Good spelling, grammar, and punctuation skills are also necessary, as well as strong reading comprehension. A data entry clerk, similar to a typist, is a member of staff employed to enter or update data into a computer system database, often from paper documents using a keyboard, optical scanner, or data recorder. If you want to start career as a data entry Operator then this video is for you. Visit Our Website: http://www.cpitudaipur.com Visit Our Blog: http://cpitudaipur.blogspot.in/ Visit Our Facebook Page: http://facebook.com/cpitudr Please Subscribe to Our Channel https://www.youtube.com/channel/UCSMsxXvvi-7XvygtsMWRBOg
Views: 436681 Career Planet Computer Education