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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q37-Q42):

NEW QUESTION # 37
You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

A. cleaned_city = city.upper().replace(" ", "")
B. cleaned_city = city.strip().capitalize()
C. cleaned_city = city.upper().strip()
D. cleaned_city = city.strip().title()

Answer: D

Explanation:
Stripping removes leading and trailing whitespace, and applying title formatting capitalizes the first letter of each word while converting the remaining letters to lowercase, producing the correctly standardized city name.

NEW QUESTION # 38
A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?

A. 3 and 3.5
B. 3 and 4
C. 3.5 and 3
D. 4 and 3

Answer: C

Explanation:
The / operator performs true division, returning a float result of 3.5. The // operator performs floor division, truncating the decimal part and returning the integer value 3.

NEW QUESTION # 39
A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

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

Answer: A

Explanation:
In Python, any non-empty list evaluates to True in a Boolean context. Even though the element inside the list is zero, the list itself is not empty, so the result is True.

NEW QUESTION # 40
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. Returns 0
C. Adds key automatically
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 # 41
Which of the following statements about Python functions are correct? (Choose two.)

A. A function cannot call itself or be passed as an argument to itself.
B. passexecutes the function body and returns its result.
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. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
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 # 42
......

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