Tutor profile: Soumyadeep D.
Why use SAS?
Unlike R programming, SAS doesn't always allow us to play with every result obtained from the program. However, if we are interested in Data Analytics for the Private Sector, e.g. Banking or Business, SAS is the most preferable that can there be.
Subject: R Programming
How strong is R as a programming language?
As strong as any programming language in the market can be; sometimes even stronger. If we are to Statistical Data Analysis, Data Mining, Machine Learning or Creating Artificial Intelligence Algorithms; there is no better programming language to be used. I can teach you the secrets of R programming and how to use that language for every day-to-day work.
How do I collect necessary information from the mundane Data?
There are many stages while understanding and processing Data: 1. Data Handling: works with types of data, presentation of data 2. Data Cleansing: deleting unnecessary pieces of information 3. Data Processing: different well-known methods to obtain knowledge from data 4. Testing: to test whether the information gathered from the data are valid at all 5. Inference: finally, learn to take the decision from the data
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