Python Fundamentals: Apply Data Structures

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Python Fundamentals: Apply Data Structures

This course is part of Python Developer: From Basics to Case Studies Specialization

Instructor: EDUCBA

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

16 reviews

6 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

16 reviews

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Perform matrix operations, list/dictionary handling, and arithmetic.
Apply sorting, searching, and advanced string manipulation.
Evaluate and implement efficient Python data solutions.

Skills you'll gain

Tools you'll learn

Python Programming

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This course is part of the Python Developer: From Basics to Case Studies 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 2 modules in this course

By completing this course, learners will be able to analyze matrices, apply sorting algorithms, implement list and dictionary operations, perform arithmetic on collections, and evaluate advanced searching and string manipulation techniques.

This beginner-friendly yet practical course equips learners with the essential tools to organize, manipulate, and optimize data in Python. Starting with foundational concepts such as matrix operations, list concatenation, and dictionary merging, learners progress toward applying sorting methods, binary search, and string operations to real-world scenarios. Each lesson is designed with hands-on coding exercises and practice quizzes to strengthen problem-solving and critical thinking skills. What makes this course unique is its step-by-step progression from basic to advanced data handling, with an emphasis on practical coding demonstrations rather than theory alone. Learners not only understand the “how” but also the “why” behind Python data operations, giving them confidence to apply concepts in projects and interviews. By the end, learners will be able to evaluate and implement efficient data solutions in Python, building a solid foundation for advanced programming, data analysis, or machine learning.

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.

What's included

12 videos4 assignments

12 videos Total 94 minutes

Course Introduction 3 minutes
Working on Matrix in Python 10 minutes
Working on Matrix in Python Continued 10 minutes
Performing Sort 7 minutes
Merging to Dictionaries 7 minutes
Concatenation of List Example 13 minutes
Excepting Values in List and Adding those Using for Loop 9 minutes
Excepting Values in List and Adding Those Using While Loop 6 minutes
Performing Arithmetic Operation on List 6 minutes
Performing Arithmetic Operation on List Continued 9 minutes
Data Structure in Python 6 minutes
Data Structure in Python Continued 10 minutes

4 assignments Total 60 minutes

Exploring Matrices and Sorting Basics 10 minutes
Mastering Lists and Dictionaries 10 minutes
Operations on Lists and Dictionaries 10 minutes
Graded-Building Strong Python Foundations 30 minutes

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.

What's included

9 videos4 assignments

9 videos Total 84 minutes

List and Dictionary in Python 7 minutes
List and Dictionary in Python Continued 8 minutes
Various Sorting Methods in Python Part 1 9 minutes
Various Sorting Methods in Python Part 2 8 minutes
Binary Search Example 7 minutes
Reversing a String 11 minutes
Dictionary Examples 13 minutes
More on List and Dictionary Examples 13 minutes
String Examples 9 minutes

4 assignments Total 60 minutes

Working with Collections in Depth 10 minutes
Searching and String Manipulation 10 minutes
Applying Python with Practical Examples 10 minutes
Graded-Advancing with Python Data Handling 30 minutes

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Instructor

Instructor ratings

(16 ratings)

EDUCBA

1,050 Courses 247,633 learners

Offered by

EDUCBA

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Reviewed on Jan 20, 2026

Overall a great course and very informative and efficient.

Reviewed on Feb 1, 2026

Instructor was great – very flexible and adapted to everyone’s different level. The course was also entertaining

Reviewed on Jan 28, 2026

The course and all the materials are both comprehensive and informative.

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