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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Analysis Fundamentals | 20% | - Introduction to Data Analysis
|
| Working with Data Using Python Libraries | 30% | - Data Visualization
|
| Applied Data Analysis Projects | 20% | - Data Analysis Workflow
|
| Python Programming for Data Analysis | 30% | - Python Data Types and Structures
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?
- A. Min-max normalization
- B. Log transformation
- C. Z-score normalization
- D. One-hot encoding
Correct Answer: C 🗳️
Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)
- A. Regularly update all packages using pip update all
- B. Use virtual environments to isolate project dependencies
- C. Use PIP to install and uninstall third-party libraries as needed
- D. Always install packages system-wide for accessibility
Correct Answer: B,C 🗳️
Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?
- A. To prevent features with larger scales from dominating distance calculations
- B. To convert strings into numeric values
- C. To make all features interpretable as binary values
- D. To compress all values into integers
Correct Answer: A 🗳️
Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?
- A. Filling with random values
- B. Replacing with NULL
- C. Imputation using mean or median
- D. Dropping all columns
Correct Answer: C 🗳️
What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?
- A. A moderate non-linear association
- B. A strong negative linear relationship
- C. No correlation
- D. A weak positive relationship
Correct Answer: B 🗳️
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