CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutSign UpSign In
DanielBarnes18

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place. Commercial Alternative to JupyterHub.

GitHub Repository: DanielBarnes18/IBM-Data-Science-Professional-Certificate
Path: blob/main/03. Data Science Methodology/README.md
Views: 4585

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

🔑 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

To verify the certificates, click the images to follow the links.