- Data Science
- Methodology
- CRISP-DM
- Data Analysis
- Data Mining
Data Science Methodology
Completed by Abigail Lewis Johnson
September 12, 2019
8 hours (approximately)
Abigail Lewis Johnson's account is verified. Coursera certifies their successful completion of Data Science Methodology
What you will learn
Describe what a methodology is and why data scientists need a methodology.
Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study.Â
Determine an appropriate analytic model including predictive, descriptive, and classification models to analyze a case study. Â
Decide on  appropriate sources of data for your data science project.Â
Skills you will gain
