Data Science process in Foundation of Data Science

 Define Data Science process 

        Data Science process is the structured approach is used to solving the problem and extracting insights of data. In below section Data science process have few steps are there, they breakdown here.

Type's of Data Science Process

Setting the Research Goals

        This step involves acquiring data from all the identified  internal and external sources, which helps to answer the business question.

Retrieving Data

        Design a data collection process to collect the required data. Data available with the company that is already collected and stored. Data from outside organization high-quality data freely available for public and commercial use.

Data Preparation

        Data Preparation is the process of Cleaning, Transforming and Modeling the raw data an that data are flexible and reuse the data. The Data Preparation have three steps they are.

Types of Preparation of Data

Data Exploration

        Data Exploration is the process of analysis and visualization the data model . They have understand the Data structure like pattern, structure , cover etc.

• Understanding Data Structure
• Descriptive Statistics
• Data Distribution Analysis
• Correlation Analysis
• Feature Selection

Data Modeling

   Data modeling is the process of designing and organizing data structures to represent and manage information effectively in a system or database. It defines data objects, their attributes, and relationships to ensure efficient storage, access, and integrity.

Presentation and Automation

          It an insights efficiently and streaming data overflows to save the times and ensure consistency are analysis. 

Types

• Data Visualization
• Reporting
• Interactive dashboard