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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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) - Pandas Library 1. DataFrame operations (merge, join, concat) 2. Data selection and filtering 3. Handling missing data 4. GroupBy operations 5. Series and DataFrame structures - NumPy Fundamentals 1. Vectorized operations 2. Array indexing and slicing 3. Basic statistical functions 4. NumPy arrays and operations
Topic 2: 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. Context managers (with statement) 2. Writing to files 3. Reading from files (text, CSV) - Control Flow and Functions 1. Conditional statements (if, elif, else) 2. Return values and scope 3. Loops (for, while) 4. Function definitions and parameters
Topic 3: 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 cleaning and preprocessing basics 3. Data import/export operations
Topic 4: Applied Data Analysis Projects	20%	- Data Analysis Workflow 1. Results interpretation and presentation 2. Problem definition 3. Analysis and modeling 4. Data exploration and cleaning - Exploratory Data Analysis (EDA) 1. Descriptive statistics computation 2. Pattern identification 3. Data distribution analysis 4. Correlation analysis

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q74-Q79):

NEW QUESTION # 74
Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)

A. df.to_csv()
B. df.dtypes
C. df.info()
D. df.memory_usage()

Answer: B,C

NEW QUESTION # 75
What is the correct sequence to connect to a database and execute a query using the sqlite3 module in Python?

A. Connect → Commit → Execute → Close
B. Execute → Connect → Commit → Close
C. Connect → Execute → Commit → Close
D. Commit → Connect → Execute → Close

Answer: C

NEW QUESTION # 76
When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?

A. sum()
B. skew()
C. std()
D. mean()

Answer: B

NEW QUESTION # 77
What is the correct SQL statement to permanently remove a table named customers from a database?

A. DROP TABLE customers;
B. REMOVE TABLE customers;
C. TRUNCATE TABLE customers;
D. DELETE TABLE customers;

Answer: A

NEW QUESTION # 78
Which Python tool or library is best suited for retrieving data from HTML tables on web pages?

A. pandas.read_html()
B. re
C. math
D. sqlalchemy

Answer: A

NEW QUESTION # 79
......

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