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Python Institute PCAD-31-02 Exam Syllabus Topics:

SectionWeightObjectives
Working with Data Using Python Libraries30%- Pandas Library
  • 1. Data selection and filtering
  • 2. Handling missing data
  • 3. DataFrame operations (merge, join, concat)
  • 4. Series and DataFrame structures
  • 5. GroupBy operations
- Data Visualization
  • 1. Matplotlib basics
  • 2. Seaborn introduction
  • 3. Customizing plots
  • 4. Creating basic charts (line, bar, scatter, histogram)
- NumPy Fundamentals
  • 1. NumPy arrays and operations
  • 2. Array indexing and slicing
  • 3. Vectorized operations
  • 4. Basic statistical functions
Python Programming for Data Analysis30%- Control Flow and Functions
  • 1. Return values and scope
  • 2. Conditional statements (if, elif, else)
  • 3. Loops (for, while)
  • 4. Function definitions and parameters
- File Operations
  • 1. Writing to files
  • 2. Context managers (with statement)
  • 3. Reading from files (text, CSV)
- Python Data Types and Structures
  • 1. Lists, tuples, dictionaries, sets
  • 2. Numbers, strings, booleans
  • 3. Data type conversions
Data Analysis Fundamentals20%- Data Collection and Preparation
  • 1. Data sources and acquisition methods
  • 2. Data import/export operations
  • 3. Data cleaning and preprocessing basics
- Introduction to Data Analysis
  • 1. Types of data (structured, unstructured, semi-structured)
  • 2. Data analysis concepts and terminology
  • 3. Data analysis process lifecycle
Applied Data Analysis Projects20%- Exploratory Data Analysis (EDA)
  • 1. Data distribution analysis
  • 2. Pattern identification
  • 3. Correlation analysis
  • 4. Descriptive statistics computation
- Data Analysis Workflow
  • 1. Data exploration and cleaning
  • 2. Results interpretation and presentation
  • 3. Analysis and modeling
  • 4. Problem definition

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q78-Q83):

NEW QUESTION # 78
Which method in a Python class is responsible for initializing the object's attributes at the time of creation?

Answer: D


NEW QUESTION # 79
Which practices are typically part of the data integration process?
(Choose two)

Answer: A,D


NEW QUESTION # 80
Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?

Answer: D


NEW QUESTION # 81
Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)

Answer: A,B


NEW QUESTION # 82
Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?

Answer: C


NEW QUESTION # 83
......

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