CRISP-DM
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What is CRISP-DM?
CRISP-DM (Cross-Industry Standard Process for Data Mining) is a widely used methodology for planning and executing data mining projects. It provides a structured approach with six phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. CRISP-DM helps ensure projects are focused, efficient, and deliver valuable insights.
What other technologies are related to CRISP-DM?
CRISP-DM Complementary Technologies
Python
Python is a versatile programming language often used in data mining and analysis tasks within the CRISP-DM framework, particularly for data preparation, modeling, and evaluation stages. It complements CRISP-DM by providing the tools to execute the process.
SQL
SQL is a standard language for managing and querying databases. It complements CRISP-DM, specifically in the data understanding and data preparation phases, by enabling data extraction, cleaning, and transformation.
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Which job functions commonly mention CRISP-DM?
Data Scientist
38 Data Scientist jobs mention CRISP-DM
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jobs on Sumble
Data Architect
4 Data Architect jobs mention CRISP-DM
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jobs on Sumble
Machine Learning
7 Machine Learning jobs mention CRISP-DM
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jobs on Sumble
Data Analyst
28 Data Analyst jobs mention CRISP-DM
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jobs on Sumble
Data Engineer
8 Data Engineer jobs mention CRISP-DM
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jobs on Sumble
Which organizations are mentioning CRISP-DM?
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