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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:
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
Correct Answer: D 🗳️
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
Correct Answer: D 🗳️
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
Correct Answer: C 🗳️
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
Correct Answer: B,C 🗳️
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()
Correct Answer: B,C 🗳️
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