Data Science Methodology

📄 Summary

This course introduces data science methodologies, including the IBM Foundational Methodology and Cross Industry Process for Data Mining (CRISP-DM). These are used as tools to effectively answer questions in a prescribed, logical sequence, and provide a framework for problem solving.

📑 Main Topics

• The IBM Foundational Methodology for Data Science

• The six stages in the Cross Industry Process for Data Mining (CRISP-DM) methodology, including Business Understanding and Data Understanding

🔑 Key Skills Learned

• The use of methodologies to solve business problems in a structured, consistent manner.

• An understanding of the importance of methodologies in data science.

🏆 Certificates

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