Data science is an integrative field that uses scientific methods, processes, algorithms, and systems to extract, knowledge and awareness from data in various forms, both structured and unstructured, similar to data mining
Data science is a “concept to unify statistics, data analysis, machine learning, and their related methods in order to understand and analyse actual phenomena” With data.
Different kinds of Data Science:-
- Artificial intelligence
- R programming
- Deep learning
- Machine learning
- Text mining and Analytics
How to work on Data Science?
Data science workflow is a non-linear, iterative process that involves asking questions, getting Data, exploring data, modeling data, and communication Data. Their work through implementation and then test.
The team Data science process provides a life cycle to structure the development of your data science projects. The lifecycle outlines the steps, from start to finish, that projects usually follow when they are executed.
Why do we need Data Science:-
Data science helps humans make better decisions; either quicker decisions or better decisions .it can do more than that. Data science is not a new role, but the creation of a chief data scientist represents the enhance of executive capability for big data solutions. Data scientists are big data wranglers.
Purpose of Data Science:-
In simple word is the purpose of data analytics is make best out of waste. It is very important to first clearly understand for what purpose you are conducting the analysis. Data analysis is a process of applying the statistical practice to organize, represent, describe, evaluate and interpret data.
Importance of Data Science:-
Data science is a combining field, it deals with processes and systems, that are used to extract knowledge or understanding from large amounts of data.
It is an “idea to bind together measurements, information, examination, machine learning and their related strategies “ keeping in mind the end goal to “comprehend & break real miracle with data. It uses systems & hypothesis drawn from numerous fields inside the setting of arithmetic, insights, data science and software engineer.
Benefits of Data Science:-
- Data science deals with process & systems
- It is used to extract knowledge & insights, from large amounts of data
- Data science is a tool that can be used to help reduce costs
- It can find new markets & make better decisions
- Data science techniques are great at spotting abnormalities. Optimization, constraint problems, predict and targeting.