Data Science Life Cycle: The Builiding Blocks Of Data Science

-
The Data Science Life Cycle depends on five building blocks: Data Collection, Data Prepration (preprocessing),Mathematical Models, Engineering, Knowledge Discovery and Communication.

Comments

Post a Comment

Popular posts from this blog

Importance of Data Science: The Present Senerio

-
Image
In the present   scenario the structured and unstructured digital data increasingly in broder way.use of present   technologies enable us to cost saving and proper management of critical data.this data is collected from different types of sources like sensor technology used in different places like malls,movie hall,airport etc,data gathered from e commerce websites like amazon,flipkart etc.,online transactional data of different bank users,data on different types of social media platforms like facebook ,whatsapp,instagram,twitter etc,data on internet in the form of images,videos etc. every day approx 3 Quintillion bytes of data are generated.organisations are flooded with large amout of data.so this is very challenging task to handle digital data and how to utilize this data. 😟😟 this image is taken from:- https://intellipaat.com/blog/what-is-data-science/ Now the workdone by data science . Data science provides a way to bring together the entities l...
Read more