Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
Certification Provider: Python Institute
Corresponding Certification: Python Institute Certification
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Updated: Oct 09, 2026
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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Statistical Methods and Modeling | ||
| Data Acquisition and Pre-Processing | 29.2% | |
| SQL and Data Management | ||
| Data Visualization and Communication | ||
| Exploratory Data Analysis |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?
- A. A strong negative linear relationship
- B. A weak positive relationship
- C. No correlation
- D. A moderate non-linear association
Correct Answer: A 🗳️
Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?
- A. Replacing with NULL
- B. Filling with random values
- C. Imputation using mean or median
- D. Dropping all columns
Correct Answer: C 🗳️
Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)
- A. It assumes a normal distribution
- B. It enables confidence interval estimation
- C. It uses random sampling with replacement
- D. It requires a large population sample
Correct Answer: B,C 🗳️
Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)
- A. df.loc[2:7, ['col1', 'col2']]
- B. df.loc[:, 'col1']
- C. df.iloc[0:5, 'col2']
- D. df['col1', 'col2']
Correct Answer: A,B 🗳️
Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)
- A. Features with different units and scales
- B. Boolean feature encoding
- C. Distance-based modeling algorithms
- D. Presence of duplicate data
Correct Answer: A,C 🗳️
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