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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Introduction to Data and Data Analysis Concepts22.5%- Define and Classify Data
  • 1. Differentiate structured, semi-structured, and unstructured data
  • 2. Classify data as quantitative or qualitative
  • 3. Explain how data becomes meaningful
- Data Ethics and Privacy
  • 1. Recognize ethical considerations in data handling
  • 2. Understand basic data privacy concepts
- 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
Python Basics for Data Analysis32.5%- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)
- 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. Define and use functions
  • 3. Implement control flow structures (loops, conditionals)
Communicating Insights and Reporting12.5%- 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
- Data Visualization
  • 1. Select appropriate visuals for different data types
  • 2. Recognize common visualization types (bar, line, pie charts)
  • 3. Interpret simple data visualizations
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)
- Data Analysis with Python Libraries
  • 1. Work with the datetime module for date/time data
  • 2. Perform basic operations with NumPy arrays
  • 3. Use the math and statistics modules for basic calculations
  • 4. Utilize the collections module for specialized containers
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data

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

1. You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?

A) To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))
B) To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
C) To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))


2. 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 None
C) Returns 0
D) Adds key automatically


3. You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

A)

B)

C)

D)


4. The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A) School and homework together take up half of the day's time.
B) Sleep and school take up the majority of time in a day.
C) Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
D) Leisure and meals combined equal the time spent at school.
E) Commuting is the second most time-consuming activity.
F) More time is spent commuting than on leisure.


5. A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.

A) It uses unstructured interviews to validate automated tracking, improving bias detection.
B) It relies on observational methods, which are more accurate than surveys or sensors.
C) It limits sampling to one demographic, ensuring high-quality data within a specific group.
D) It combines automated data collection with representative sampling, reducing the risk of bias.


Solutions:

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

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