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Matching Challenge: Data Science Foundations
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Data Science: Foundations, Definitions, Lifecycle, Ethics, and Cloud Computing
May 12, 2026
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Matching Challenge: Data Science Foundations
Match each item on the left with its corresponding item on the right!
⏱️ Time:
2:00
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Interdisciplinary field
Exploratory Data Analysis (EDA)
Reproducibility
CRISP-DM
Interdisciplinary Definition of Data Science
Data Analysis Pipeline (EDA and Confirmatory)
Ethics in Data Science
Machine learning models are trained on biased data
Big data workloads require heavy computation and storage
Data science results must be trusted and reused
With These: