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Data Types and Data Structures
Understanding data types and structures is crucial in data science. Various forms of data can be classified as structured, semi-structured, or unstructured, each with its own characteristics. Python provides a range of data types, such as integers, floats, strings, and booleans, and offers essential data structures like lists, dictionaries, and data frames for effective data management.
Sections
Learn important concepts in this section
Learn important concepts in this section
Learn important concepts in this section
Learn important concepts in this section
Learn important concepts in this section
Data can be structured, semi-structured, or unstructured.
Python supports several data types including int, float, str, and bool.
Lists, tuples, dictionaries, and sets are essential data structures in Python.
Pandas DataFrames are crucial for handling structured data in real-world projects.
Structured Data
Data organized in tabular format, readily stored in databases.
SemiStructured Data
Data that lacks a strict structure but possesses organizational properties.
Unstructured Data
Data with no predefined format, making it complex to analyze.
List
An ordered and mutable collection of items.
Tuple
An ordered and immutable collection of items.
Dictionary
An unordered collection that stores data in key-value pairs.
Set
An unordered collection of unique elements.
DataFrame
A two-dimensional table structure used in Pandas for handling data.
Practice Exercises
Total Questions
5
Estimated Time
10 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting