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Python Institute PCAD-31-02 exam : Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)

PCAD-31-02 Exam Questions
  • Exam Code: PCAD-31-02
  • Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
  • Updated: Aug 23, 2026
  • Q & A: 146 Questions and Answers
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Python Institute PCAD-31-02 exam demo

Python Institute PCAD-31-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Visualization and Communication15%- Visualization with Matplotlib and Seaborn
  • 1. Heatmaps, pair plots and correlation matrices
  • 2. Customization and styling
  • 3. Line, bar, scatter, histogram, box plots
- Visualization principles and best practices
  • 1. Choosing appropriate chart types
  • 2. Audience-focused presentation
  • 3. Color, layout and clarity
- Data storytelling and reporting
  • 1. Structuring insights and conclusions
  • 2. Written and verbal presentation techniques
Topic 2: Data Modeling and Machine Learning Basics20%- Supervised learning fundamentals
  • 1. Regression: linear, multiple, polynomial
  • 2. Classification: logistic regression, k-NN, decision trees
  • 3. Model training, testing and evaluation
- Model performance and optimization
  • 1. Overfitting, underfitting and generalization
  • 2. Accuracy, precision, recall, F1-score
  • 3. Hyperparameter tuning basics
Topic 3: SQL and Database Integration10%- Python-database connectivity
  • 1. Error handling and best practices
  • 2. Connecting to SQLite, MySQL or PostgreSQL
  • 3. Executing queries and retrieving results
- Relational database concepts
  • 1. Tables, keys, relationships and normalization
- SQL querying
  • 1. Subqueries and filtering
  • 2. SELECT, WHERE, JOIN, GROUP BY, aggregate functions
Topic 4: Data Exploration and Statistical Analysis25%- Exploratory data analysis
  • 1. Identifying patterns, trends and outliers
  • 2. Feature selection and dimensionality reduction basics
- Descriptive statistics
  • 1. Correlation and covariance analysis
  • 2. Measures of central tendency and dispersion
  • 3. Frequency distributions and percentiles
- Inferential statistics
  • 1. Hypothesis testing and confidence intervals
  • 2. Probability concepts and distributions
  • 3. Statistical significance and interpretation
Topic 5: Data Acquisition and Preprocessing30%- Data cleaning and validation
  • 1. Quality assurance and validation techniques
  • 2. Data standardization and transformation
  • 3. Handling missing, duplicate and invalid values
- Data collection, integration and storage
  • 1. Data formats and storage systems
  • 2. Data collection methods and sources
  • 3. Data integration and merging
- Data preparation with Pandas and NumPy
  • 1. Indexing, filtering, sorting and grouping
  • 2. Data structures: Series, DataFrame, ndarray
  • 3. Data reshaping and aggregation

Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

A) Box plot
B) Line chart
C) Pie chart
D) Scatter plot


2. When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?

A) The dataset is uniformly distributed
B) The dataset contains outliers
C) The dataset is positively skewed
D) The dataset has a normal distribution


3. What is the primary purpose of using annotations in a data visualization?

A) To highlight important data points and provide contextual information
B) To replace the need for axes
C) To ensure faster rendering in large datasets
D) To enhance interactivity in static plots


4. Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

A) Heatmap
B) Line chart
C) Histogram
D) Scatter plot


5. How would you extract the last three rows of a DataFrame df using position-based indexing?

A) df.iloc[-3:]
B) df[-3]
C) df.tail(3)
D) df.loc[-3:]


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: A,D
Question # 5
Answer: A

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