This course is designed to equip learners with a foundational and functional understanding of Python programming through the progressive exploration of core logic and data-handling structures. Through real-world examples and carefully sequenced lessons, students will learn to apply control flow, construct efficient loops, evaluate Boolean logic, and manipulate complex data collections like dictionaries and lists.



Mastering Python Logic and Data Structures
This course is part of Python Mastery: Core Concepts, Data Structures & OOP Specialization

Instructor: EDUCBA
Access provided by UCENM
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11 assignments
July 2025
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There are 3 modules in this course
This module introduces learners to one of Python’s most powerful built-in data structures—the dictionary. Starting with foundational concepts such as syntax and creation, the module gradually explores more complex operations like nested dictionaries and key-based data manipulation. Through practical demonstrations and examples, learners will gain confidence in using dictionary methods, updating values, and applying built-in functions to solve real-world problems. By the end of this module, learners will be proficient in storing, retrieving, and managing data using Python dictionaries efficiently and effectively.
What's included
10 videos4 assignments
This module introduces foundational programming constructs that are critical for writing structured and logical Python code. Learners will explore essential concepts such as using the print() function, importing modules, assigning variables, structuring code with proper indentation, and working with conditional logic and Boolean values. As the lessons progress, the module delves into more complex conditions and the use of assertions to validate program behavior. Through practical explanations and contextual examples, learners will develop a strong base to write robust, readable, and logically sound Python programs.
What's included
9 videos4 assignments
This module provides learners with a practical understanding of iteration structures and data manipulation techniques in Python. Beginning with foundational looping mechanisms, it builds toward deeper insights into how iterative logic supports repeated operations, conditionally and efficiently. Learners explore Python’s while and for loops, understand iteration principles, and discover the usefulness of the pass statement as a syntactic placeholder. The module then transitions to Pythonic constructs like list comprehensions, showcasing how they streamline the creation of new lists from existing sequences. Finally, the process of cleaning up data and managing memory through deletion operations is explored. This module empowers learners to write clean, efficient, and readable iterative code in Python.
What's included
6 videos3 assignments
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