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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Data Analysis and Visualization	- Data visualization 1. Plot interpretation 2. Matplotlib basics - Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling
Data Handling and Processing with Python	- Working with data structures 1. Iterating and transformations 2. Lists, tuples, dictionaries - Data manipulation libraries 1. Pandas fundamentals 2. NumPy basics
Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Python Programming Fundamentals	- Basic syntax and data types 1. Variables and operators 2. Control flow basics

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

Question #1

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.