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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Valid Python Institute PCAD-31-02 Exam Dumps Questions - Confirm Your Success Reply

At the SurePassExams offer students Python Institute PCAD-31-02 practice test questions, and 24/7 support to ensure they do comprehensive preparation for the Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) (PCAD-31-02) exam. SurePassExams Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) (PCAD-31-02) practice test material covers all the key topics and areas of knowledge necessary to master the Python Institute Certification Exam.

Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q89-Q94):

NEW QUESTION # 89
Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

Answer: C,D


NEW QUESTION # 90
Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)

Answer: B,C


NEW QUESTION # 91
Which practices are considered part of professional Python scripting standards?
(Choose two)

Answer: B,D


NEW QUESTION # 92
What does the standard deviation of a dataset represent in the context of statistical analysis?

Answer: A


NEW QUESTION # 93
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?

Answer: A


NEW QUESTION # 94
......

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