SigmaWay's RapidMiner and Data Analytics Course

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz Language: English | VTT | Size: 1.72 GB | Duration: 8 section | 22 lectures | (3h 11m) What you'll learn RapidMiner- User Interface, Storing and using Data, Various Data Analysis Operators Data Mining Techniques- Text Mining, Web Mining Data Analysis Techniques- Regression, Factor Analysis, Principal component Analysis Applied Data Sciences Processes- Twitter Sentiment Analysis, Product Propensity Analysis, Fraud Detection, Factor Analysis Requirements Basic Understanding of Statistics Interest in Machine Learning and Data Analytics Description Welcome to Sigmaway's Rapid Miner Course series where we aim to help budding industry professionals and data scientists understand various data analytics processes and show them how these processes are performed in a statistical software like RapidMiner. The course takes you through a guided journey across various process and situations a Data Analyst might face, and teaches you the theoretical concepts behind such process and shows you how to perform them in RapidMiner, a " No Code " analytics software. Understanding data and how to use it should not be limited requirements like knowledge of coding. We at Sigmaway firmly believe that you have the power to understand and use the plethora of data available to you, and we want to help enable you in doing so. Our course takes you through concepts like Web mining Text Mining Linear Regression Fraud Analysis Principal Component Analysis Sentiment Analysis and more. So join us, so that we may help you open up your horizons to the beautiful world of Data Analysis Music: bensound Note: Please use Head-Phones for optimum viewing experience. Who this course is for: Beginner students interested in Machine Learning and RapidMiner Entry Level Professionals interested in Data Analytics Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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