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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis Fundamentals | 20% | - Data Collection and Preparation
|
| Topic 2: Python Programming for Data Analysis | 30% | - File Operations
|
| Topic 3: Applied Data Analysis Projects | 20% | - Exploratory Data Analysis (EDA)
|
| Topic 4: Working with Data Using Python Libraries | 30% | - Pandas Library
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?
A) dictionary
B) tuple
C) list
D) set
2. Which term best describes the process of combining customer data from multiple systems into a single unified dataset?
A) Data warehousing
B) Data normalization
C) Data binning
D) Data integration
3. Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?
A) lambda expression with reduce
B) filter() function with map
C) for loop with if condition
D) while loop with try block
4. Which of the following are limitations of manual data collection methods?
(Choose two)
A) High scalability
B) Increased chance of human error
C) Time-consuming process
D) Seamless integration with big data tools
5. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)
A) pivot_table()
B) median()
C) var()
D) sort_values()
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B,C | Question # 5 Answer: B,C |
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