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

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