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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q131-Q136):

NEW QUESTION # 131
Which practices are typically part of the data integration process?
(Choose two)

Answer: A,B


NEW QUESTION # 132
Which of the following would most likely be classified as unstructured data?

Answer: C


NEW QUESTION # 133
What is the primary goal of pre-processing data before performing analysis?

Answer: C


NEW QUESTION # 134
What is the primary advantage of using web scraping as a data collection method in business analytics?

Answer: A


NEW QUESTION # 135
Which of the following exceptions would most likely be raised if a string is directly converted to an integer in Python?

Answer: C


NEW QUESTION # 136
......

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