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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q35-Q40):

NEW QUESTION # 35
You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics

A. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
B. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
C. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics
D. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics

Answer: B

Explanation:
It uses statistics.stdev() to compute the standard deviation, statistics.mean() to compute the average and math.ceil() to round it up to the nearest whole number, and statistics.median() to compute the median.

NEW QUESTION # 36
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.strip().capitalize()
B. cleaned_city = city.upper().strip()
C. cleaned_city = city.strip().title()
D. cleaned_city = city.upper().replace(" ", "")

Answer: C

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 # 37
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. Functions can only return numeric values or strings.
C. If a function does not contain a returnstatement, it returns Noneby default.
D. passexecutes the function body and returns its result.
E. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
F. Default parameters must always come before required ones in the parameter list.

Answer: C,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 # 38
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.split().strip(', ')
B. fields = line.split(', ').trim()
C. fields = line.strip().split(', ')
D. fields = line.replace(', ', '|').split('|')

Answer: C

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 # 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. None
C. False
D. Error

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
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