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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Communicating Insights and Reporting	12.5%	- Data Visualization 1. Select appropriate visuals for different data types 2. Recognize common visualization types (bar, line, pie charts) 3. Interpret simple data visualizations - Data Storytelling and Reporting 1. Create clear and concise analytical reports 2. Structure insights as a narrative 3. Present insights with visual and verbal techniques
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. Apply common operations and methods to data structures 2. Work with lists, tuples, dictionaries, and sets
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. Explain the role of data cleaning and preparation 2. Identify common data sources and collection methods 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
Working with Data and Performing Simple Analyses	32.5%	- Data Analysis with Python Libraries 1. Utilize the collections module for specialized containers 2. Perform basic operations with NumPy arrays 3. Work with the datetime module for date/time data 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 - Simple Analytical Techniques 1. Identify basic patterns and trends in data 2. Calculate descriptive statistics (mean, median, mode)

Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

Question 1

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.

A.

B.

C.

Question 2

You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.

A.

B.

C.

D.

Question 3

You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
B. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
C. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
D. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."

Question 4

A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?

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

Question 5

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. False
B. True
C. Error
D. None

Solutions:

Question 1
Answer: C

Question 2
Answer: C

Question 3
Answer: D

Question 4
Answer: A

Question 5
Answer: B