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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Communication | ||
| Topic 2: SQL and Data Management | ||
| Topic 3: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 4: Statistical Methods and Modeling | ||
| Topic 5: Exploratory Data Analysis |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question 1
What is the main purpose of defining a class when working with complex data structures in a Python-based analysis project?
A. To avoid using loops and conditional logic
B. To ensure all values are stored as plain strings
C. To define global variables that persist across files
D. To encapsulate related data and behavior for better organization
Question 2
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:
A. Heatmap
B. Scatter plot
C. Histogram
D. Line chart
Question 3
What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?
A. To sort the DataFrame by a specific column
B. To split the data into subgroups for aggregation
C. To filter rows based on index values
D. To append new rows to the DataFrame
Question 4
Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)
A. It enables confidence interval estimation
B. It uses random sampling with replacement
C. It requires a large population sample
D. It assumes a normal distribution
Question 5
Which of the following exceptions would most likely be raised if a string is directly converted to an integer in Python?
A. RuntimeError
B. IOError
C. ValueError
D. TypeError
Solutions:
| Question 1 Answer: D | Question 2 Answer: A,B | Question 3 Answer: B | Question 4 Answer: A,B | Question 5 Answer: C |



