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Coursera

Python Fundamentals: Apply Data Structures

EDUCBA via Coursera

Overview

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Master the fundamentals of Python data structures and build practical programming skills for organizing, manipulating, and analysing data. In Master Python Fundamentals: Analyze & Apply Data Structures, you will progress from core concepts such as matrix operations, list concatenation, dictionary merging, and collection arithmetic to more advanced techniques, including sorting algorithms, binary search, and string manipulation. Through hands-on coding exercises and practice quizzes, you will strengthen your problem-solving skills while learning how to apply Python functions to real-world programming tasks. Designed for beginners and learners looking to reinforce their Python foundation, this course provides a structured learning experience that builds confidence step by step. You will learn to work efficiently with Python lists, dictionaries, matrices, and collection types, perform data searching and text processing, and combine multiple data operations to solve practical coding challenges. What makes this course unique is its progression from foundational data handling to advanced data manipulation, with every concept reinforced through practical coding examples instead of theory alone. By the end of the course, you will be able to analyse matrices, implement list and dictionary operations, apply sorting algorithms and binary search, perform arithmetic on collections, evaluate string manipulation techniques, and confidently develop efficient Python solutions that prepare you for more advanced programming, data analysis, and machine learning studies.

Syllabus

  • Building Strong Python Foundations
    • This module introduces learners to Python’s essential data handling capabilities, including matrices, lists, and dictionaries. By practicing list concatenation, arithmetic operations, and dictionary merging, learners build a strong foundation in Python data structures and basic algorithms. The lessons provide hands-on experience with real-world coding scenarios, preparing learners for more advanced data manipulation tasks.
  • Advancing with Python Data Handling
    • This module advances Python skills by exploring sorting algorithms, binary search, and string manipulation techniques. Learners practice applying Python’s built-in functions for efficient data searching, reversing strings, and working with advanced list and dictionary examples. The lessons emphasize performance, problem-solving, and real-world applications of Python data structures.

Taught by

EDUCBA

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4.6 rating at Coursera based on 17 ratings

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