Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
Certification Provider: Python Institute
Corresponding Certification: Python Institute Certification
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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Acquisition and Preprocessing | 30% | - Data preparation with Pandas and NumPy
|
| Topic 2: Data Exploration and Statistical Analysis | 25% | - Descriptive statistics
|
| Topic 3: SQL and Database Integration | 10% | - Relational database concepts
|
| Topic 4: Data Modeling and Machine Learning Basics | 20% | - Supervised learning fundamentals
|
| Topic 5: Data Visualization and Communication | 15% | - Visualization with Matplotlib and Seaborn
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
What is the main purpose of using the bootstrapping technique in inferential statistics?
- A. To increase the number of features in a model
- B. To estimate the sampling distribution by resampling with replacement
- C. To filter outliers from a dataset
- D. To validate the syntax of SQL queries in Python
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
Which of the following are key differences between Pandas and NumPy arrays?
(Choose two)
- A. Pandas Series are more memory efficient than NumPy arrays
- B. Pandas integrates better with tabular data and missing values
- C. NumPy supports string indexing; Pandas does not
- D. Pandas handles labeled data; NumPy does not
Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?
- A. .csv
- B. .txt
- C. .json
- D. .xml
Why might using a pie chart to represent category proportions be less effective than a bar chart?
- A. Human perception is less accurate at judging angles than lengths
- B. Pie charts cannot be created using Seaborn
- C. Bar charts are limited to one variable only
- D. Pie charts display individual data points more clearly
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