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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Visualization and Communication | 15% | - Data storytelling and reporting
|
| SQL and Database Integration | 10% | - SQL querying
|
| Data Acquisition and Preprocessing | 30% | - Data cleaning and validation
|
| Data Exploration and Statistical Analysis | 25% | - Inferential statistics
|
| Data Modeling and Machine Learning Basics | 20% | - Supervised learning fundamentals
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)
- A. Adding descriptive axis labels
- B. Avoiding color entirely
- C. Customizing tick labels
- D. Disabling grid lines in all cases
Correct Answer: A,C 🗳️
Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?
- A. A DataFrame is a one-dimensional array of Series
- B. A Series contains multiple DataFrames
- C. A Series can only be created from a DataFrame
- D. A DataFrame is a two-dimensional container of Series objects
Correct Answer: D 🗳️
Which file formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)
- A. TSV
- B. CSV
- C. JSON
- D. XML
Correct Answer: C,D 🗳️
When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
- A. on
- B. ignore_index
- C. dropna
- D. suffixes
Correct Answer: A,D 🗳️
When creating a line chart with Matplotlib, which function is most appropriate to add a text label at a specific data point?
- A. plt.annotate()
- B. plt.title()
- C. plt.legend()
- D. plt.xlabel()
Correct Answer: A 🗳️




