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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Visualization and Communication	20%	- 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 - Principles of effective data visualization 1. Choosing appropriate chart types 2. Clarity, simplicity, and accuracy
Python Basics for Data Analysis	32.5%	- Control flow and functions 1. Basic exception handling 2. Conditional statements, loops, iteration 3. Defining and calling functions, parameters, return values - 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
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 - Basic statistical concepts 1. Descriptive vs inferential statistics 2. Population, sample, variable, observation - Definition and classification of data 1. Process of turning raw data into insights 2. Difference between data, information, and knowledge 3. Role of data in decision-making and business - Data lifecycle and ethical considerations 1. Data collection, storage, processing, usage, and sharing 2. Privacy, security, bias, and fairness in data
Working with Data and Performing Simple Analysis	25%	- Data aggregation and grouping 1. Summarizing and grouping datasets - Data cleaning and preparation 1. Handling missing values, duplicates, and errors 2. Formatting and standardizing values 3. Filtering, sorting, transforming data - Exploratory data analysis 1. Calculating mean, median, mode, range, variance, standard deviation 2. Identifying patterns, trends, and outliers - Data acquisition and loading 1. Reading text, CSV, and structured files 2. Importing data from external sources

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q38-Q43):

NEW QUESTION # 38
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. None
C. False
D. True

Answer: D

Explanation:
The in operator checks for substring presence. Since the character "a" exists in "apple", the expression evaluates to True, demonstrating how membership works for strings in Python.

NEW QUESTION # 39
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. 0
C. None
D. 1

Answer: D

Explanation:
Integers are immutable in Python. Reassigning b to a new value does not affect a or c, which still reference the original integer value 10.

NEW QUESTION # 40
A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.

A. SQL, because it directly converts tabular data into database tables that Excel can open.
B. XML, because it automatically preserves spreadsheet formatting and charts.
C. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
D. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.

Answer: D

Explanation:
CSV stores tabular data in a simple plain-text, comma-separated format that is widely supported by spreadsheet applications like Excel, making it ideal for sharing datasets for easy import and analysis.

NEW QUESTION # 41
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.

Answer: B

Explanation:
It uses a context manager to automatically close the file after reading and wraps the operation in a try-except block to gracefully handle a missing file error, assigning an empty list if the file is not found.

NEW QUESTION # 42
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. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
D. passexecutes the function body and returns its result.
E. A function cannot call itself or be passed as an argument to itself.
F. If a function does not contain a returnstatement, it returns Noneby default.

Answer: C,F

Explanation:
Positional arguments are matched to parameters by their position, so they must follow the defined order, while keyword arguments are matched by name and can be provided in any order. If a function completes without an explicit return statement, Python returns None automatically.

NEW QUESTION # 43
......

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