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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Introduction to Data and Data Analysis Concepts22.5%- Data Ethics and Privacy
  • 1. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
- Data Analysis Process and Workflow
  • 1. Describe the steps of the data analysis process
  • 2. Explain the role of data cleaning and preparation
  • 3. Identify common data sources and collection methods
- 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
Topic 2: Communicating Insights and Reporting12.5%- Data Visualization
  • 1. Recognize common visualization types (bar, line, pie charts)
  • 2. Select appropriate visuals for different data types
  • 3. Interpret simple data visualizations
- Data Storytelling and Reporting
  • 1. Present insights with visual and verbal techniques
  • 2. Structure insights as a narrative
  • 3. Create clear and concise analytical reports
Topic 3: 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
- Data Analysis with Python Libraries
  • 1. Work with the datetime module for date/time data
  • 2. Utilize the collections module for specialized containers
  • 3. Use the math and statistics modules for basic calculations
  • 4. Perform basic operations with NumPy arrays
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data
Topic 4: Python Basics for Data Analysis32.5%- Python Fundamentals
  • 1. Define and use functions
  • 2. Implement control flow structures (loops, conditionals)
  • 3. Use variables, data types, and basic operators
- Data Structures
  • 1. Apply common operations and methods to data structures
  • 2. Work with lists, tuples, dictionaries, and sets
- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)

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

1. You are writing a function to validate battery voltage readings. The rules are:
- If the reading is "MISSING"or None, return "Missing".
- If the value is below 2.5or above 4.2, return "Outlier".
Otherwise, return "Normal".
Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.

A)

B)

C)

D)


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


3. Which of the following statements about Python functions are correct? (Choose two.)

A) Default parameters must always come before required ones in the parameter list.
B) Functions can only return numeric values or strings.
C) A function cannot call itself or be passed as an argument to itself.
D) Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
E) If a function does not contain a returnstatement, it returns Noneby default.
F) passexecutes the function body and returns its result.


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

Which statements are most accurate? (Choose two.)

A) Sleep and school take up the majority of time in a day.
B) School and homework together take up half of the day's time.
C) Commuting is the second most time-consuming activity.
D) Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
E) Leisure and meals combined equal the time spent at school.
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 limits sampling to one demographic, ensuring high-quality data within a specific group.
B) It combines automated data collection with representative sampling, reducing the risk of bias.
C) It relies on observational methods, which are more accurate than surveys or sensors.
D) It uses unstructured interviews to validate automated tracking, improving bias detection.


Solutions:

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

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