Data SCIENCE LIFE CYCLE

By Great Learning

14th Oct 2022

The Data Science life cycle is the process of using data to answer scientific questions. It begins with a question, followed by,

1.Data Collection,

2.Data Processing,

4.Conclusion.

3.Data analysis, &

It is the process of gathering data from various sources & then compiling it in a format that is suitable for further analysis. Data collection can be done manually or through automated means.

data collection

It is a technique used to convert raw data into useful information. It involves cleaning, organizing, & transforming data which helps turn data into insights & knowledge.

data Processing

It is the process of identifying, collecting, cleaning, analyzing, & interpreting data with the goal of discovering useful insights, suggesting conclusions, & supporting decision-making.

data analysis

It is the final step in the data analysis process, in which the researcher interprets the findings of the data and draws conclusions about what the data means.

Data Conclusion

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