SigmaWay's RapidMiner and Data Analytics Course
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
- Basic Understanding of Statistics
- Interest in Machine Learning and Data Analytics
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
Principal Component Analysis
So join us, so that we may help you open up your horizons to the beautiful world of Data Analysis
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
As a Six Sigma exponent who is an IT engineer with an MBA in services and certifications in risk management (FRM, GARP), project management (PMP, PMI-USA) and process improvement (Master Black Belt and Black Belt certifications from ASQ-USA), I can leverage my cross-functional expertise and exposure to multiple domains to provide innovative solutions to my clients.
Currently, I work as a Director at SigmaWay LLC, a boutique solutions provider in Process Consulting, Analytics, Market Intelligence, Training, and niche IT Services with offices in the US and India.
In the past, I have held process re-engineering and operations management roles in Genpact, and led operations for offshore teams facing leading commercial finance clients in the USA, managed multiple transitions for both commercial finance and Analytics processes, as well as undertaken process improvements.
I have also held the following certifications in derivatives and related products from NSE, India
NCFM Certification in Derivatives 2005
NCFM Certification in Debt Markets 2005
NCFM Certification in Securities 2006
NCFM Certification in Commodity Derivatives 2006
NCFM Certification in Capital Markets 2005
With experience in Market Analysis, and proficiencies in multiple domains like Data Mining, Data Cleaning, Data Analysis and Inference based Data Reporting, I have worked with multiple clients to create customized and standardized market research reports.
I have completed my Masters in Business Administration, from ICFAI Hyderabad, one of the pioneering institutes in research and have completed various courses from Universities like Macquarie University, Australia.
My role as a Market Research Analyst at Ken Research has allowed me to work on multiple industries and gain insights from industry specialists. I have created end to end Syndicated and Customized Market Research Reports on a wide-spanning range of genre's such as
My role as a Data Analyst at Sigmaway LCC has led me to work on a Social Media Analysis project for a large Canadian Oil and Lubricants Company, where I performed Twitter Sentiment Analysis, Amazon Sentiment Analysis and Google Trends Analysis for the client, leading to inferences which have helped the client improve their social media campaigns.
While working with Sigmway LLC I have been tasked to create training courses dealing with domains such as Data Analytics, Advanced Excel, and others. Also, I have been tasked to manage multiple projects involving product development and advertising to drive revenues.
I hope to further lay my footing the Data Science and Data Analytics as I grow in my career and knowledge