📊📈📉
The data science:
is a collection of techniques used to extract value from data.
it is rely on finding useful patterns, connections and relationship within data.
Utilizes certain specialized computational methods in order to discover meaningful and useful
structures within a dataset. and is closely associated with a number of related areas
such as database systems, data engineering, visualization, data analysis,
experimentation, and business intelligence (BI).
Data science involves inference and iteration of many different hypotheses.
One of the key aspects of data science is the process of generalization of patterns
from a dataset.
One of the goals of data science is
finding previously unknown patterns in data.
Source: From the Data science concept and practice book .
According to what we read,
we are supposed to know the primary goal, which is to analyze and extract value from data, that is, to find hidden relationships in a large set of data. Suppose that we, as a company, are launching a specific product. With the help of data science, I can explore the users information and based on that I can launch marketing campaigns and understand customers’ needs based on the evidence and patterns extracted from the data. This is a simple example without going into any details of the process.
If you have any additional information, please write it in the comment.🫱🏼🫲🏽
Top comments (0)