Question:

Consider the following steps of a data science workflow to be arranged in correct order :
A. Data preprocessing

B. Model building

C. Data collection

D. Data visualization and interpretation

E. Model evaluation

Choose the correct answer from the options given below :

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Remember: You can't clean what you haven't collected, and you can't evaluate a model you haven't built!
Updated On: Jun 6, 2026
  • C, A, B, E, D
  • A, C, B, D, E
  • C, B, A, D, E
  • B, C, A, E, D
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The Correct Option is A

Solution and Explanation

The Data Science workflow follows a logical progression from raw data to final communication. 1. Step-by-Step Logic:
Data Collection (C): The foundation of any project. You must first acquire the raw data.
Data Preprocessing (A): Cleaning, handling missing values, and preparing the data for the algorithm.
Model Building (B): Selecting the algorithm and training it on the prepared data.
Model Evaluation (E): Testing the model against metrics (accuracy, precision, etc.) to ensure it works.
Data Visualization and Interpretation (D): Final step where insights are communicated through charts and reports. 2. Resulting Sequence: The only logical flow is C $\to$ A $\to$ B $\to$ E $\to$ D.
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