What are the different types of analysis in data science?
In data science, the main types of analysis include descriptive, diagnostic, predictive, and prescriptive analysis.
Can you explain each type briefly?
Sure! Descriptive analysis summarizes past data, diagnostic analysis identifies causes of past outcomes, predictive analysis forecasts future trends, and prescriptive analysis suggests actions to achieve desired outcomes.
Which type is most commonly used?
Descriptive analysis is often the most commonly used as it provides insights into historical data, helping organizations understand what has happened.
How do I choose the right type of analysis for my project?
Choosing the right type depends on your goals: if you want to understand past performance, use descriptive; for future predictions, go with predictive analysis.
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