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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Working with Data and Performing Simple Analyses	32.5%	- Data Cleaning and Transformation 1. Perform basic data transformation (filtering, sorting, grouping) 2. Handle missing and inconsistent data - Data Analysis with Python Libraries 1. Perform basic operations with NumPy arrays 2. Use the math and statistics modules for basic calculations 3. Utilize the collections module for specialized containers 4. Work with the datetime module for date/time data - Simple Analytical Techniques 1. Calculate descriptive statistics (mean, median, mode) 2. Identify basic patterns and trends in data
Topic 2: Introduction to Data and Data Analysis Concepts	22.5%	- Data Analysis Process and Workflow 1. Identify common data sources and collection methods 2. Explain the role of data cleaning and preparation 3. Describe the steps of the data analysis process - Data Ethics and Privacy 1. Recognize ethical considerations in data handling 2. Understand basic data privacy concepts - Define and Classify Data 1. Explain how data becomes meaningful 2. Classify data as quantitative or qualitative 3. Differentiate structured, semi-structured, and unstructured data
Topic 3: Python Basics for Data Analysis	32.5%	- Data Structures 1. Work with lists, tuples, dictionaries, and sets 2. Apply common operations and methods to data structures - File Handling 1. Read from and write to files (text, CSV) 2. Use the csv module for basic CSV operations - Python Fundamentals 1. Define and use functions 2. Implement control flow structures (loops, conditionals) 3. Use variables, data types, and basic operators
Topic 4: Communicating Insights and Reporting	12.5%	- Data Visualization 1. Interpret simple data visualizations 2. Select appropriate visuals for different data types 3. Recognize common visualization types (bar, line, pie charts) - Data Storytelling and Reporting 1. Structure insights as a narrative 2. Create clear and concise analytical reports 3. Present insights with visual and verbal techniques

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q39-Q44):

NEW QUESTION # 39
A dictionary is defined as d = {"a":1, "b":2}. The programmer accesses d["c"]. What happens when this line executes?

A. Raises KeyError
B. Adds key automatically
C. Returns 0
D. Returns None

Answer: A

Explanation:
Accessing a non-existent key using square brackets raises a KeyError. Python does not automatically create missing keys, so the program will terminate unless the exception is handled.

NEW QUESTION # 40
Which of the following statements about Python functions are correct? (Choose two.)

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

Answer: D,E

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 # 41
A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?

A. None
B. True
C. Error
D. False

Answer: B

Explanation:
The not operator has higher precedence than and, so not False becomes True first. Then True and True is evaluated, resulting in True as the final Boolean value.

NEW QUESTION # 42
A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?

A. Error
B. Modifies original
C. Creates new list
D. Returns None

Answer: C

Explanation:
Slicing creates a new list object rather than modifying the original. The expression lst[::-1] returns a reversed copy, leaving the original list unchanged.

NEW QUESTION # 43
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.replace(', ', '|').split('|')
B. fields = line.strip().split(', ')
C. fields = line.split(', ').trim()
D. fields = line.split().strip(', ')

Answer: B

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 # 44
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