PCAD-31-02 Study Materials and Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Test Dumps - PCAD-31-02 PDF Guide - UpdateDumps

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q73-Q78):

NEW QUESTION # 73
What distinguishes structured data from unstructured data in the context of data modeling and storage?

Answer: C


NEW QUESTION # 74
Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

Answer: A,B


NEW QUESTION # 75
Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)

Answer: A,D


NEW QUESTION # 76
Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?

Answer: D


NEW QUESTION # 77
Which technique is considered a primary defense against SQL injection when executing database queries from Python?

Answer: D


NEW QUESTION # 78
......

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