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Data Science Methodology Variability
- Data science projects differ greatly from software engineering in process maturity and predictability.
- The uncertainty and manual exploration elements in data science hinder traditional estimation and management methods.
Core Challenges in Data Science Projects
- Key challenges in data science projects include project management, team coordination, and data management.
- Understanding business needs, team collaboration, and handling data privacy and validation are critical.
Data Science vs Software Engineering
- Data science projects face unique challenges like uncertainty in solution approach and data quality issues.
- These differences necessitate new methodologies distinct from traditional software engineering ones.