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Python Institute PCAD-31-02

PCAD-31-02

Exam Code: PCAD-31-02

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

Updated: Aug 01, 2026

Q & A: 146 Questions and Answers

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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

1. Which practices are typically part of the data integration process?
(Choose two)

A) Data encryption
B) Format standardization
C) Neural network training
D) Schema alignment


2. What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?

A) Seaborn requires no data preprocessing for missing values
B) Seaborn works exclusively with NumPy arrays
C) Seaborn provides high-level abstractions for attractive and informative graphics
D) Seaborn automatically saves plots as image files


3. In supervised learning, what is the primary goal when training a model on labeled data?

A) To learn a function that maps inputs to known outputs
B) To discover hidden patterns without outputs
C) To analyze unstructured data formats like text
D) To cluster data points into similar groups


4. Which actions are considered part of basic data validation tasks in Python using Pandas?
(Choose two)

A) Confirming numeric columns contain only integers
B) Replacing NULL values with placeholders
C) Sorting the data frame by index
D) Checking for duplicate rows


5. Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)

A) flask
B) NumPy
C) pandas
D) Pygame


Solutions:

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

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