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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Python Basics for Data Analysis32.5%- Python Fundamentals
  • 1. Use variables, data types, and basic operators
  • 2. Implement control flow structures (loops, conditionals)
  • 3. Define and use functions
- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)
- Data Structures
  • 1. Work with lists, tuples, dictionaries, and sets
  • 2. Apply common operations and methods to data structures
Introduction to Data and Data Analysis Concepts22.5%- Data Analysis Process and Workflow
  • 1. Identify common data sources and collection methods
  • 2. Describe the steps of the data analysis process
  • 3. Explain the role of data cleaning and preparation
- Define and Classify Data
  • 1. Classify data as quantitative or qualitative
  • 2. Differentiate structured, semi-structured, and unstructured data
  • 3. Explain how data becomes meaningful
- Data Ethics and Privacy
  • 1. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
Communicating Insights and Reporting12.5%- 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. Present insights with visual and verbal techniques
  • 2. Structure insights as a narrative
  • 3. Create clear and concise analytical reports
Working with Data and Performing Simple Analyses32.5%- Data Cleaning and Transformation
  • 1. Handle missing and inconsistent data
  • 2. Perform basic data transformation (filtering, sorting, grouping)
- Simple Analytical Techniques
  • 1. Identify basic patterns and trends in data
  • 2. Calculate descriptive statistics (mean, median, mode)
- Data Analysis with Python Libraries
  • 1. Work with the datetime module for date/time data
  • 2. Utilize the collections module for specialized containers
  • 3. Use the math and statistics modules for basic calculations
  • 4. Perform basic operations with NumPy arrays

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

Question 1

You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np

A. timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np
B. timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5)
C. timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np
D. timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np


Question 2

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

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


Question 3

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 4

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. Error
D. False


Question 5

A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

A. 10
B. 5
C. None
D. Error


Solutions:

Question 1
Answer: B
Question 2
Answer: A,D
Question 3
Answer: C
Question 4
Answer: A
Question 5
Answer: A

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