Python Institute PCED-30-02 real dump : PCED - Certified Entry-Level Data Analyst with Python

  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 13, 2026
  • Q&As: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Working with Data and Performing Simple Analysis25%- Data cleaning and preparation
  • 1. Handling missing values, duplicates, and errors
  • 2. Filtering, sorting, transforming data
  • 3. Formatting and standardizing values
- Data acquisition and loading
  • 1. Reading text, CSV, and structured files
  • 2. Importing data from external sources
- Exploratory data analysis
  • 1. Identifying patterns, trends, and outliers
  • 2. Calculating mean, median, mode, range, variance, standard deviation
- Data aggregation and grouping
  • 1. Summarizing and grouping datasets
Topic 2: Data Visualization and Communication20%- Interpreting and presenting results
  • 1. Deriving conclusions and insights
  • 2. Reporting findings clearly and concisely
- Principles of effective data visualization
  • 1. Choosing appropriate chart types
  • 2. Clarity, simplicity, and accuracy
- Creating basic visualizations
  • 1. Line charts, bar charts, histograms, pie charts
  • 2. Using text and simple plotting tools
Topic 3: Introduction to Data and Data Analysis Concepts22.5%- Definition and classification of data
  • 1. Role of data in decision-making and business
  • 2. Difference between data, information, and knowledge
  • 3. Process of turning raw data into insights
- Data lifecycle and ethical considerations
  • 1. Data collection, storage, processing, usage, and sharing
  • 2. Privacy, security, bias, and fairness in data
- Basic statistical concepts
  • 1. Descriptive vs inferential statistics
  • 2. Population, sample, variable, observation
- Data types and measurement scales
  • 1. Nominal, ordinal, interval, ratio scales
  • 2. Qualitative vs quantitative data
Topic 4: Python Basics for Data Analysis32.5%- Core Python syntax and data types
  • 1. Lists, tuples, sets, dictionaries
  • 2. Variables, numbers, strings, booleans
- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
- Control flow and functions
  • 1. Conditional statements, loops, iteration
  • 2. Basic exception handling
  • 3. Defining and calling functions, parameters, return values
- Built-in modules for data work
  • 1. math, statistics, datetime, collections, csv

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

1. 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.strip().split(', ')
B) fields = line.split(', ').trim()
C) fields = line.split().strip(', ')
D) fields = line.replace(', ', '|').split('|')


2. Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?

A) 8
B) "555"
C) 15
D) Error


3. You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique

A) from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)
B) from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np
C) from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
D) from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np


4. Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

A) text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
B) text[6:8].isdigit()returns True, and text.endswith("Final")returns True
C) text[0:6].isalpha() returns True, and text.find("2024") returns 6
D) text.isalpha()returns True, and text.find ("2024")returns True
E) text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
F) text[-6].isdigit() returns True, text.startswith("r") returns True


5. What will be the output of the following code?

A) 5 10
B) 10 10
C) 10 5
D) 5 5


Solutions:

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

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