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Mastering Python Logic and Data Structures

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Mastering Python Logic and Data Structures

Instructor: EDUCBA

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Gain insight into a topic and learn the fundamentals.
4.5

11 reviews

7 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.5

11 reviews

7 hours to complete
Flexible schedule
Learn at your own pace

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Shareable certificate

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Assessments

11 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Python Mastery: Core Concepts, Data Structures & OOP Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

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.

The course begins by introducing Python dictionaries—key-value data structures essential for structured data manipulation. Learners will explore dictionary creation, access methods, and nested structures. Next, the course advances into essential programming concepts such as printing, importing, variable assignment, block structuring, and conditional execution. Finally, students will build mastery over iterative operations using for and while loops, learn the role of the pass statement, and streamline their workflows using list comprehensions and value cleanup techniques. Through interactive content, assessments, and practice quizzes, learners will be empowered to analyze program flow, synthesize list-based logic, and refine their approach to structured problem-solving in Python.

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

10 videosTotal 82 minutes
  • Introduction to Dictionaries11 minutes
  • Dictionary Syntax9 minutes
  • Dictionaries Example7 minutes
  • Continuation of Dictionaries Example6 minutes
  • Dictionaries Example Continued9 minutes
  • Dictionaries Methods11 minutes
  • Continuation of Dictionaries Methods11 minutes
  • Sample of Dictionaries Methods6 minutes
  • Further Sample of Dictionaries Methods5 minutes
  • Example Revisited7 minutes
4 assignmentsTotal 60 minutes
  • Graded - Mastering Python Dictionaries30 minutes
  • Introduction to Python Dictionaries10 minutes
  • Deep Dive into Dictionary Usage10 minutes
  • Advanced Dictionary Methods10 minutes

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

9 videosTotal 68 minutes
  • Print and Import10 minutes
  • Assignments8 minutes
  • Blocks and Indentation9 minutes
  • Conditions and Boolean Values7 minutes
  • Continuation of Conditions and Boolean Values7 minutes
  • Complex Conditions9 minutes
  • Continuation of Complex Conditions6 minutes
  • Further continuation of Complex Conditions5 minutes
  • Assertions6 minutes
4 assignmentsTotal 60 minutes
  • Graded - Core Programming Concepts30 minutes
  • Printing, Importing & Assignments10 minutes
  • Control Structures & Boolean Logic10 minutes
  • Complex Conditions and Assertions10 minutes

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

6 videosTotal 38 minutes
  • Loops and Iterations11 minutes
  • Iterations Explained7 minutes
  • Continuation of Iterations Explained7 minutes
  • Pass Statement and List Comprehensions5 minutes
  • Continuation of Pass Statement and List Comprehensions5 minutes
  • Deleting Values3 minutes
3 assignmentsTotal 50 minutes
  • Graded - Iterations and List Handling30 minutes
  • Looping Structures10 minutes
  • List Comprehensions and Cleanups10 minutes

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Instructor

EDUCBA
1,591 Courses326,930 learners

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Showing 3 of 11

ON
·

Reviewed on Dec 4, 2025

Instead of just teaching syntax, the lessons push you to understand how to think through a problem. Lots of small logic exercises help sharpen analytical skills.

CN
·

Reviewed on Nov 20, 2025

Beginner-friendly but still challenging enough to stay interesting. Helped me finally understand recursion and linked lists.

SV
·

Reviewed on Nov 27, 2025

Mastering PytLogic-building sections genuinely help in thinking through problems step by step, not just writing code blindly.hon Logic and Data Structures

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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