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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Python Basics for Data Analysis	32.5%	- Introduction to NumPy 1. Arrays, basic operations, indexing, slicing - Core Python syntax and data types 1. Lists, tuples, sets, dictionaries 2. Variables, numbers, strings, booleans - Built-in modules for data work 1. math, statistics, datetime, collections, csv - Control flow and functions 1. Basic exception handling 2. Defining and calling functions, parameters, return values 3. Conditional statements, loops, iteration
Topic 2: Working with Data and Performing Simple Analysis	25%	- Data cleaning and preparation 1. Formatting and standardizing values 2. Handling missing values, duplicates, and errors 3. Filtering, sorting, transforming data - Data aggregation and grouping 1. Summarizing and grouping datasets - Exploratory data analysis 1. Calculating mean, median, mode, range, variance, standard deviation 2. Identifying patterns, trends, and outliers - Data acquisition and loading 1. Importing data from external sources 2. Reading text, CSV, and structured files
Topic 3: Introduction to Data and Data Analysis Concepts	22.5%	- Data types and measurement scales 1. Nominal, ordinal, interval, ratio scales 2. Qualitative vs quantitative data - Definition and classification of data 1. Role of data in decision-making and business 2. Process of turning raw data into insights 3. Difference between data, information, and knowledge - Data lifecycle and ethical considerations 1. Data collection, storage, processing, usage, and sharing 2. Privacy, security, bias, and fairness in data - Basic statistical concepts 1. Population, sample, variable, observation 2. Descriptive vs inferential statistics
Topic 4: Data Visualization and Communication	20%	- Creating basic visualizations 1. Line charts, bar charts, histograms, pie charts 2. Using text and simple plotting tools - Interpreting and presenting results 1. Reporting findings clearly and concisely 2. Deriving conclusions and insights - Principles of effective data visualization 1. Choosing appropriate chart types 2. Clarity, simplicity, and accuracy

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q44-Q49):

NEW QUESTION # 44
You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.

Answer: A

Explanation:
It wraps file reading and integer conversion in a try block, catches the relevant file, conversion, and indexing exceptions, prints the value only in the no-error path using an else block, and uses a finally block to always print the final message.

NEW QUESTION # 45
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.strip().split(', ')
B. fields = line.replace(', ', '|').split('|')
C. fields = line.split(', ').trim()
D. fields = line.split().strip(', ')

Answer: A

Explanation:
Stripping removes leading and trailing whitespace from the line, and then splitting on the comma- space delimiter correctly separates the values into a list for further formatting.

NEW QUESTION # 46
Which of the following statements about Python functions are correct? (Choose two.)

A. Functions can only return numeric values or strings.
B. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
C. Default parameters must always come before required ones in the parameter list.
D. If a function does not contain a returnstatement, it returns Noneby default.
E. A function cannot call itself or be passed as an argument to itself.
F. passexecutes the function body and returns its result.

Answer: B,D

Explanation:
Positional arguments are matched to parameters by their position, so they must follow the defined order, while keyword arguments are matched by name and can be provided in any order. If a function completes without an explicit return statement, Python returns None automatically.

NEW QUESTION # 47
What will be the output of the following code?

A. 5 5
B. 10 5
C. 5 10
D. 10 10

Answer: A

Explanation:
The function declares the variable as global and assigns it the value 5. When the function is called, it updates the global variable and returns 5, so both the returned value and the global variable printed afterward are 5.

NEW QUESTION # 48
You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
Python evaluates the addition first because of operator precedence. The expression 2 + 3 equals
5, then x *= 5 multiplies the current value of x (4) by 5, resulting in a final value of 20.

NEW QUESTION # 49
......

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