Python Institute PCED-30-02 dumps - in .pdf

PCED-30-02 pdf
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Sep 16, 2026
  • Q & A: 52 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Sep 16, 2026
  • Q & A: 52 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Python Institute PCED-30-02 dumps - Testing Engine

PCED-30-02 Testing Engine
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Sep 16, 2026
  • Q & A: 52 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

Question #1

A teacher wants to compare the number of students in different school clubs:

Which type of chart would be most appropriate to show this comparison? Select the best answer.

  • A. Pie chart
  • B. Line chart
  • C. Bar chart
  • D. Bubble chart
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ExamDumpsVCE members. You can sign-up / login (it's free).

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.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Below are six possible summaries for your presentation:
- Summary 1: "The data revealed a moderate positive correlation between age and recycling frequency. While 72% of students reported recycling paper regularly, only 39% reported recycling plastic."
- Summary 2: "Analysis showed notable differences in recycling habits by material type, with paper being most recycled and plastic least recycled."
- Summary 3: "Older kids recycled more than younger ones. Paper was the most recycled item- plastic got forgotten a lot."
- Summary 4: "Student responses showed positive environmental habits overall, though participation varied by waste type."
- Summary 5: "A lot of students said they recycle. Some didn't answer every question, so we couldn't figure out everything."
- Summary 6: "We asked more than 300 students about recycling. Most said they recycle paper, but way fewer recycle plastic." Which communication style is the best fit for Group A (data scientists) and Group B (12-year- olds), respectively? Select the best answer.

  • A. Summary 1 for Group A, Summary 6 for Group B
  • B. Summary 6 for Group A, Summary 3 for Group B
  • C. Summary 4 for Group A, Summary 3 for Group B
  • D. Summary 6 for Group A, Summary 5 for Group B
  • E. Summary 2 for Group A. Summary 6 for Group B
  • F. Summary 1 for Group A, Summary 3 for Group B
Reveal Solution  Discussion  0

Correct Answer: F  🗳️

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Question #4

An e-commerce site records every product view and purchase.
Which of the following best describes how these logs become marketing insights?

  • A. Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.
  • B. Raw event logs are structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.
  • C. Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.
  • D. Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

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(math.ceil(statistics.mean(steps)))
    print(statistics.median(steps))
  • B. import math
    print(math.stdev(steps))
    print(statistics.mean(steps))
    print(statistics.median(steps))
    import statistics
  • C. import math
    print(statistics.variance(steps))
    print(math.ceil(sum(steps) / len(steps)))
    print(math.floor(statistics.median(steps)))
    import statistics
  • D. import math
    print(statistics.stdev(steps))
    print(round(math.mean(steps)))
    print(math.median(steps))
    import statistics
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for ExamDumpsVCE members. You can sign-up / login (it's free).

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