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Data Science Tutorial
Introduction to data science
Data science helps the user by providing an ability to analyze huge data sets and by doing necessary operations, data science will save precious time and makes some big profit out of it.
Data science helps the user by providing an ability to analyze huge data sets and by doing necessary operations, data science will save precious time and makes some big profit out of it.
Data science is very much popular in today’s world scenario as there is a huge amount of data generated each day in different fields like mart, hospitals, colleges, etc.
Users need to perform some operations by analyzing the dataset and then find something useful from that data.
For example- Suppose there is a dataset of a mart, which contains data for 4 users.
Data Science Process
Step 1: Organize Data
It includes the physical storage and formatting of data and integrated finest practices in data management.
Step2: Package Data
In this the prototypes are created, the visualization is built and also statistics is performed. It includes logically joining and manipulating the raw data into a new representation and package.
Step 3: Deliver Data
In this process data is delivered to those who need that data.
Users need to perform some operations by analyzing the dataset and then find something useful from that data.
For example- Suppose there is a dataset of a mart, which contains data for 4 users.
Data Science Process
Step 1: Organize Data
It includes the physical storage and formatting of data and integrated finest practices in data management.
Step2: Package Data
In this the prototypes are created, the visualization is built and also statistics is performed. It includes logically joining and manipulating the raw data into a new representation and package.
Step 3: Deliver Data
In this process data is delivered to those who need that data.
Data Science vs. Data Analysis
It’s very important to know that data science and Data analysis are little similar but, there so many differences between them. Let’s check out the differences
| Data Science | Data Analysis |
| Providing strategic actionable insights into the world | Providing operational observations into issues |
| Mathematical, technical and strategic knowledge are mandatory | Data analysis and visualization skills required |
| Deal with big data | Not necessarily deal with big data |
In brief, with the help of data science, we will be able to analyze datasets, understand it and by performing necessary operations, we will get the resultant which will be beneficial for users.
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