Python Institute PCAD-31-02 Valid Exam Pdf | New PCAD-31-02 Test Syllabus

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q136-Q141):

NEW QUESTION # 136
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)

Answer: C,D


NEW QUESTION # 137
Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?

Answer: C


NEW QUESTION # 138
Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

Answer: A,D


NEW QUESTION # 139
Why is it important to manage object identity correctly in complex data analysis pipelines?

Answer: C


NEW QUESTION # 140
Which operations are valid and commonly used on Python lists during data transformation tasks?
(Choose two)

Answer: B,D


NEW QUESTION # 141
......

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