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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Applied Data Analysis Projects | 20% | - Exploratory Data Analysis (EDA)
|
| Python Programming for Data Analysis | 30% | - Control Flow and Functions
|
| Data Analysis Fundamentals | 20% | - Data Collection and Preparation
|
| Working with Data Using Python Libraries | 30% | - NumPy Fundamentals
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which data collection method is most appropriate when gathering opinions from a target audience at scale?
A) Web scraping
B) Transactional data
C) Sensor logs
D) Surveys
2. What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?
A) Seaborn requires no data preprocessing for missing values
B) Seaborn provides high-level abstractions for attractive and informative graphics
C) Seaborn automatically saves plots as image files
D) Seaborn works exclusively with NumPy arrays
3. What object-oriented principle allows a child class to reuse and extend the behavior of a parent class in a Python data modeling scenario?
A) Abstraction
B) Encapsulation
C) Composition
D) Inheritance
4. Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)
A) df.dtypes
B) df.to_csv()
C) df.info()
D) df.memory_usage()
5. Which Python tool or library is best suited for retrieving data from HTML tables on web pages?
A) pandas.read_html()
B) math
C) sqlalchemy
D) re
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A,C | Question # 5 Answer: A |
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