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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

>> PCAD-31-02 Exam Fee <<

The Python Institute PCAD-31-02 Exam Dumps In PDF File Format

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q116-Q121):

NEW QUESTION # 116
What is the correct sequence to connect to a database and execute a query using the sqlite3 module in Python?

Answer: A


NEW QUESTION # 117
What is the primary purpose of using annotations in a data visualization?

Answer: A


NEW QUESTION # 118
Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)

Answer: B,D


NEW QUESTION # 119
Which of the following are key differences between Pandas and NumPy arrays?
(Choose two)

Answer: A,D


NEW QUESTION # 120
What is the best approach when comparing SQL NULL values with Python data during conditional checks?

Answer: A


NEW QUESTION # 121
......

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