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Python Institute PCED-30-02 Valid Braindumps - PCED - Certified Entry-Level Data Analyst with Python

PCED-30-02
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 01, 2026
  • Q & A: 52 Questions and Answers
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About Python Institute PCED-30-02 Exam

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

1. A government agency collects citizen data for various public services.
What is the primary reason for emphasizing careful data management throughout the entire data lifecycle in this context? Select the best answer.

A) To guarantee the long-term availability and integrity of crucial citizen datasets for future policy formulation and evaluation.
B) To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.
C) To streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.
D) To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.


2. A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?

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


3. A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A) Retaining user data permanently unless users explicitly request deletion.
B) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
C) Automatically opting users into data sharing unless they manually change settings.
D) Limiting data access only to marketing staff to streamline personalization.
E) Implementing encryption for both stored and transmitted customer data.


4. 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)


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

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


Solutions:

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

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