PCAD-31-02 Latest Exam Vce | Latest PCAD-31-02 Exam Forum

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q142-Q147):

NEW QUESTION # 142
What is the primary advantage of using web scraping as a data collection method in business analytics?

Answer: A


NEW QUESTION # 143
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

Answer: B,D


NEW QUESTION # 144
Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)

Answer: B,C


NEW QUESTION # 145
When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?

Answer: C


NEW QUESTION # 146
When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)

Answer: A,B


NEW QUESTION # 147
......

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