- Type Validation
- Level Advanced
- Time Days
- Cost Paid
The credential earner has demonstrated hands-on proficiency in applying Data Science concepts to a real world inspired challenge. The earner can follow the data science methodology involving problem definition, data collection, data wrangling, exploratory data analysis, data visualization, model development, and model evaluation. The individual has also demonstrated proficiency in documenting their work and preparing a full formal data science project report.
- Type Validation
- Level Advanced
- Time Days
- Cost Paid
Skills
Earning Criteria
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Pass the Coursera course assessment criteria.