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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Analysis Fundamentals	20%	- 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
Topic 2: Applied Data Analysis Projects	20%	- Data Analysis Workflow 1. Analysis and modeling 2. Results interpretation and presentation 3. Data exploration and cleaning 4. Problem definition - Exploratory Data Analysis (EDA) 1. Correlation analysis 2. Data distribution analysis 3. Descriptive statistics computation 4. Pattern identification
Topic 3: Working with Data Using Python Libraries	30%	- Data Visualization 1. Matplotlib basics 2. Seaborn introduction 3. Customizing plots 4. Creating basic charts (line, bar, scatter, histogram) - NumPy Fundamentals 1. Vectorized operations 2. Basic statistical functions 3. Array indexing and slicing 4. NumPy arrays and operations - Pandas Library 1. Data selection and filtering 2. DataFrame operations (merge, join, concat) 3. GroupBy operations 4. Handling missing data 5. Series and DataFrame structures
Topic 4: Python Programming for Data Analysis	30%	- Control Flow and Functions 1. Return values and scope 2. Loops (for, while) 3. Conditional statements (if, elif, else) 4. Function definitions and parameters - Python Data Types and Structures 1. Data type conversions 2. Numbers, strings, booleans 3. Lists, tuples, dictionaries, sets - File Operations 1. Reading from files (text, CSV) 2. Context managers (with statement) 3. Writing to files

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q22-Q27):

NEW QUESTION # 22
Which of the following statistical measures are considered measures of central tendency?
(Choose two)

A. Mode
B. Interquartile range
C. Mean
D. Variance

Answer: A,C

NEW QUESTION # 23
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)

A. SELECT
B. DELETE
C. INSERT
D. UPDATE

Answer: C,D

NEW QUESTION # 24
Which of the following exceptions would most likely be raised if a string is directly converted to an integer in Python?

A. IOError
B. ValueError
C. TypeError
D. RuntimeError

Answer: B

NEW QUESTION # 25
What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?

A. Use .isin() to compare the foreign key column against the parent key column
B. Use df.sort_values() to sort both columns before merging
C. Use df.dropna() on the foreign key column
D. Use df.merge() with how='outer'

Answer: A

NEW QUESTION # 26
Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A. Using global variables instead of object properties
B. Applying inheritance to avoid redundant code
C. Replacing all functions with lambda expressions
D. Encapsulating behavior in class methods

Answer: B,D

NEW QUESTION # 27
......

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