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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Communication | 15% | - Visualization with Matplotlib and Seaborn
|
| Topic 2: Data Modeling and Machine Learning Basics | 20% | - Model performance and optimization
|
| Topic 3: Data Acquisition and Preprocessing | 30% | - Data cleaning and validation
|
| Topic 4: SQL and Database Integration | 10% | - Python-database connectivity
|
| Topic 5: Data Exploration and Statistical Analysis | 25% | - Inferential statistics
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
- A. suffixes
- B. on
- C. dropna
- D. ignore_index
Correct Answer: A,B 🗳️
Which practices are considered part of professional Python scripting standards?
(Choose two)
- A. Using consistent indentation and naming conventions
- B. Avoiding error handling to keep code clean
- C. Avoiding use of modules and libraries
- D. Including in-line comments and docstrings
Correct Answer: A,D 🗳️
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 split the data into subgroups for aggregation
- B. To sort the DataFrame by a specific column
- C. To append new rows to the DataFrame
- D. To filter rows based on index values
Correct Answer: A 🗳️
Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?
- A. python get pandas
- B. python install pandas
- C. install pip pandas
- D. pip install pandas
Correct Answer: D 🗳️
Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)
- A. Use the requests module to retrieve JSON responses
- B. Open Excel files using matplotlib
- C. Load CSV directly with re.compile()
- D. Access data using requests.get() and parse it with .json()
Correct Answer: A,D 🗳️
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