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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Data and Data Analysis Concepts | 22.5% | – Basic statistical concepts
– Definition and classification of data
– Data lifecycle and ethical considerations
– Data types and measurement scales
|
| Topic 2: Python Basics for Data Analysis | 32.5% | – Built-in modules for data work
– Core Python syntax and data types
– Control flow and functions
– Introduction to NumPy
|
| Topic 3: Data Visualization and Communication | 20% | – Interpreting and presenting results
– Principles of effective data visualization
– Creating basic visualizations
|
| Topic 4: Working with Data and Performing Simple Analysis | 25% | – Exploratory data analysis
– Data cleaning and preparation
– Data acquisition and loading
– Data aggregation and grouping
|
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