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Python Institute PCED-30-02 guide torrent - PCED - Certified Entry-Level Data Analyst with Python

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PCED-30-02 guide torrent
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Introduction to Data and Data Analysis Concepts22.5%- Data Analysis Process and Workflow
  • 1. Describe the steps of the data analysis process
  • 2. Identify common data sources and collection methods
  • 3. Explain the role of data cleaning and preparation
- Data Ethics and Privacy
  • 1. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
- 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
Communicating Insights and Reporting12.5%- Data Storytelling and Reporting
  • 1. Create clear and concise analytical reports
  • 2. Present insights with visual and verbal techniques
  • 3. Structure insights as a narrative
- Data Visualization
  • 1. Select appropriate visuals for different data types
  • 2. Interpret simple data visualizations
  • 3. Recognize common visualization types (bar, line, pie charts)
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. Work with lists, tuples, dictionaries, and sets
  • 2. Apply common operations and methods to data structures
- Python Fundamentals
  • 1. Use variables, data types, and basic operators
  • 2. Implement control flow structures (loops, conditionals)
  • 3. Define and use functions
Working with Data and Performing Simple Analyses32.5%- Data Cleaning and Transformation
  • 1. Perform basic data transformation (filtering, sorting, grouping)
  • 2. Handle missing and inconsistent data
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data
- Data Analysis with Python Libraries
  • 1. Work with the datetime module for date/time data
  • 2. Use the math and statistics modules for basic calculations
  • 3. Utilize the collections module for specialized containers
  • 4. Perform basic operations with NumPy arrays

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

Question #1

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. Error
  • B. 5
  • C. None
  • D. 10
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

  • A. cleaned_city = city.strip().title()
  • B. cleaned_city = city.strip().capitalize()
  • C. cleaned_city = city.upper().replace(" ", "")
  • D. cleaned_city = city.upper().strip()
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?

  • A. Error
  • B. None
  • C. False
  • D. True
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

  • A. Creating summary tables and charts to describe patterns in historical data.
  • B. Designing a data pipeline to ingest and process real-time sensor data.
  • C. Developing machine learning algorithms to predict user behavior.
  • D. Recommending pricing strategies using predictive modeling and A/B testing.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?

  • A. Creates new list
  • B. Error
  • C. Returns None
  • D. Modifies original
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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