" HOUR OF DATA SCIENCE "
THE HOUR OF DATA SCIENCE
Data Science , well I guess if you are an active Internet user I guess you already have come across this word be at any educational purpose or any advertisement at YouTube.
So allow me to make you understand Data Science in really short way and simple, to be very simple Data means something very informative to someone and non informative to someone right? Science is the scientific way to deal with respective field , here we come that how science can help you to understand data efficiently and effectively, so the term Data Science.
So some of the terms are
- Data Classification
- Data Cleansing
- Data Filtration
- Data Extraction
Data Classification : Data Classification may be defined as way to actually classify what data is needed out of so many big data, i.e which data is needed to operate in the operation to make sure there isn't any backstore with it.
Data Cleansing : The Act of Cleaning the data out of so many mixed data after classification , to fill missing data , or to correct any wrong data , i.e to reduce or to remove any noise.
Data Filtration :To filter out the operators that are required for the specific purpose to increase out the performance and to remove any sort of mis- calculation bug
Data Extraction : To extract the right requirements such that there isn't any false output by the operation and thus promising optimised output.
The world of Data Science is huge and requires huge processing to deliver the optimised result. Documentation can really help the required data to be fetched out and thus helping out in the go, Data Science is truely a required solution to help future data and to serve well ,making sure it's best justified whenever it is needed.