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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q118-Q123):

NEW QUESTION # 118
Which method is typically used in Pandas to check if a column contains only values within an expected range?

A. df.sample()
B. df.isin()
C. df.clip()
D. df.sort_values()

Answer: B

NEW QUESTION # 119
Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?

A. A Series contains multiple DataFrames
B. A DataFrame is a one-dimensional array of Series
C. A Series can only be created from a DataFrame
D. A DataFrame is a two-dimensional container of Series objects

Answer: D

NEW QUESTION # 120
Which of the following best describes the purpose of the plt.subplot() function in Matplotlib?

A. It configures multiple plots in a grid layout within a single figure
B. It links Matplotlib with Seaborn's grid styling
C. It overlays multiple plots in the same figure without axes
D. It creates a 3D surface plot using pandas

Answer: A

NEW QUESTION # 121
Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)

A. Splitting data into training and test sets
B. Randomizing the test dataset labels
C. Training on the entire dataset including test records
D. Using cross-validation to assess generalizability

Answer: A,D

NEW QUESTION # 122
Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

A. Scatter plot
B. Line chart
C. Box plot
D. Pie chart

Answer: C

NEW QUESTION # 123
......

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