One framework that can help data scientist carry out their work is the OSEMN Framework. OSEMN are clear stages or sequences of activities that are important in a data science process.
The OSEMN framework contains various step-by-step alias step carried out by data scientist.
Starting from data collections, data preparation to data interpretation. This framework can be useful framework for solving problem in the field of data science analysis.
It could said that of OSEMN stages very coherent so that if one of the stages is missed or missing the conclusion cannot be drawn.
In the bellow is explanation about OSEMN:
Determine what data would be useful
Evaluate what data are available
Decide on how the data can be gathered
Correct inconsistent formatting
Remove duplicate records
Handle missing values
Remove inaccurate information
Examine variable distributions
Examine variable relationships
Perform statistical tests
Select a model type for your goals (often in cooperation with a partner)
Categories of models include:
Classification - Is this “A” or “B”?
Regression - How much or how many?
Clustering - What natural segments can we find in our data?
Create presentations of your findings