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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Python Basics for Data Analysis | 32.5% | - Core Python syntax and data types
- 1. Lists, tuples, sets, dictionaries
- 2. Variables, numbers, strings, booleans
- Built-in modules for data work
- 1. math, statistics, datetime, collections, csv
- Control flow and functions
- 1. Defining and calling functions, parameters, return values
- 2. Conditional statements, loops, iteration
- 3. Basic exception handling
- Introduction to NumPy
- 1. Arrays, basic operations, indexing, slicing
|
| Working with Data and Performing Simple Analysis | 25% | - Data cleaning and preparation
- 1. Formatting and standardizing values
- 2. Filtering, sorting, transforming data
- 3. Handling missing values, duplicates, and errors
- 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 aggregation and grouping
- 1. Summarizing and grouping datasets
|
| Data Visualization and Communication | 20% | - Principles of effective data visualization
- 1. Choosing appropriate chart types
- 2. Clarity, simplicity, and accuracy
- Creating basic visualizations
- 1. Using text and simple plotting tools
- 2. Line charts, bar charts, histograms, pie charts
- Interpreting and presenting results
- 1. Reporting findings clearly and concisely
- 2. Deriving conclusions and insights
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data types and measurement scales
- 1. Nominal, ordinal, interval, ratio scales
- 2. Qualitative vs quantitative data
- Definition and classification of data
- 1. Difference between data, information, and knowledge
- 2. Process of turning raw data into insights
- 3. Role of data in decision-making and business
- Basic statistical concepts
- 1. Population, sample, variable, observation
- 2. Descriptive vs inferential statistics
- Data lifecycle and ethical considerations
- 1. Privacy, security, bias, and fairness in data
- 2. Data collection, storage, processing, usage, and sharing
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)
A) Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
B) Commuting is the second most time-consuming activity.
C) Leisure and meals combined equal the time spent at school.
D) School and homework together take up half of the day's time.
E) More time is spent commuting than on leisure.
F) Sleep and school take up the majority of time in a day.
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) Error
B) False
C) True
D) None
3. 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 relies on observational methods, which are more accurate than surveys or sensors.
B) It limits sampling to one demographic, ensuring high-quality data within a specific group.
C) It uses unstructured interviews to validate automated tracking, improving bias detection.
D) It combines automated data collection with representative sampling, reducing the risk of bias.
4. The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)
A) Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
B) Commuting is the second most time-consuming activity.
C) Leisure and meals combined equal the time spent at school.
D) School and homework together take up half of the day's time.
E) More time is spent commuting than on leisure.
F) Sleep and school take up the majority of time in a day.
5. A loop includes a break statement when a condition is met. The programmer wants to understand how break affects loop execution. What happens when break is executed inside the loop?
A) Error
B) Loop ends immediately
C) Skips one iteration
D) Loop restarts
Solutions:
Question # 1 Answer: A,F | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A,F | Question # 5 Answer: B |