Python Data Structures and Algorithms: Complete Guide — 94% OFF Discount Coupon

Understand the algorithms, performance, and implementation of important data structures. Use advanced Python techniques.

★4.6 out of 5
2,243 students
Created by Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Python Data Structures and Algorithms: Complete Guide before you enroll:

•Course Name: Python Data Structures and Algorithms: Complete Guide
•Platform: Udemy
•Instructor: Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy
•Coupon Last Verified: May 9, 2026
•Level: Advanced
•Topic: Programming Languages
•Subtopic: Python
•Total Time: 23h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Develop problem-solving and debugging skills essential for coding interviews. · Apply algorithmic thinking to real-world tasks, writing efficient and readable Python code. · Strengthen confidence in data-driven programming and technical interview readiness.
•Requirements: Basic knowledge of Python syntax and programming concepts is required. · Completion of Learn Python Programming Masterclass (or equivalent experience) recommended.
•Current Price: $11.99 (was $199.99). You save $188.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Python Data Structures and Algorithms: Complete Guide, you'll have these practical skills:

✓Develop problem-solving and debugging skills essential for coding interviews. .
✓Apply algorithmic thinking to real-world tasks, writing efficient and readable Python code. .
✓Strengthen confidence in data-driven programming and technical interview readiness. .
✓Implement core data structures like arrays, stacks, queues, and linked lists from scratch in Python. .
✓Understand algorithm efficiency and analyze code performance using Big-O notation. .
✓Build and compare sorting and searching algorithms including merge, quick, and binary search. .
✓Design and implement trees, heaps, hash tables, and other advanced data structures. .
✓Use Python’s built-in tools effectively, such as heapq, deque, and sorted().

What You Need Before Starting

Before enrolling in Python Data Structures and Algorithms: Complete Guide, make sure you have:

•Basic knowledge of Python syntax and programming concepts is required.
•Completion of Learn Python Programming Masterclass (or equivalent experience) recommended.
•A computer with Python 3 installed and a code editor such as PyCharm, VS Code, or IntelliJ IDEA.
•No prior experience with data structures or algorithms is required — everything is taught from first principles.

About This Udemy Course

The following is the full official course description for Python Data Structures and Algorithms: Complete Guide as published on Udemy by instructor Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy:

Master the foundations that power real-world Python.

Write sorting routines and build important data structures from scratch, then discover the Pythonic way to use them in practice. Write unit tests to validate your code. Master Python's special "dunder" methods.

Why this course?

If you’ve already learned the Python language (for example through Tim Buchalka’s Learn Python Programming Masterclass, rated 4.6/5 from over 100,000 reviews and taken by more than 430,000 learners), this new Python Data Structures and Algorithms course is the next logical step. It takes you from I can write Python to I can design efficient Python, using the data structures and algorithms employers expect.

You’ll be learning with Tim Buchalka and JP (Jean-Paul) Roberts, both highly experienced instructors. Tim is a Udemy Instructor Partner with over 1.7 million students and more than 460,000 reviews across his courses. JP brings his industry insight as a co-instructor, ensuring a practical, robust, and engaging learning experience. Their combined expertise means you can feel confident in the quality of this new course, even before reviews come in.

What makes this course different?
  • Build first, then go Pythonic. Each topic follows a clear pattern: theory, your own code, then Python’s built-in tools like sorted(), heapq, deque, and queue.
  • Hands-on, job-relevant coverage. Arrays, linked lists, stacks, queues, hash tables, sets, trees, heaps, searching, and sorting are all taught with Big-O analysis and unit tests. You’ll always know your code is correct.
  • Up-to-date Python. The course covers modern improvements in CPython, including Python 3.11’s Powersort for list.sort(), with comparisons to earlier approaches.

What learners say about Tim and JP’s teaching:

Note: These quotes reflect students’ experiences from the Python Masterclass. As this Python Data Structures and Algorithms course is newly published, reviews for this course will appear soon.

“Not slow, just the right speed if you already know programming… Excellent trainer thus far.” – Linda

“Great, thorough explanations. Very complete. Thank you!” – Anthony

“Exceptionally good… Really well done!!!” – Rakshan

Is this course for you?
  • Yes: If you already know basic Python and want to think like a software engineer—choose the right structure, reason about performance, and write clean, correct code.
  • Yes: If you’re preparing for coding interviews or want efficient, practical patterns for real projects.
  • No: If you’re brand-new to Python. Start with the Masterclass, then return here.

What you’ll learn
  • Foundations and Big-O: What data structures and algorithms are, time and space complexity, and trade-offs.
  • Arrays and lists: Memory model, resizing, slicing, iteration, and dunder methods for Pythonic sequences.
  • Linked lists: Singly/doubly linked lists, insert/delete, reverse, iterate, indexing, and slicing.
  • Stacks, queues, deques: Manual implementations, plus Python’s deque and queue.
  • Hash tables and sets: Open addressing, chaining, dict and set, and specialized collections.
  • Trees: Binary search trees (insert/search/delete), traversal strategies, fully implement a red-black tree.
  • Heaps and priority queues: Build heaps, Heapsort, and Python’s heapq.
  • Searching: Linear vs. binary search (iterative and recursive).
  • Sorting: Bubble, selection, insertion, merge, quick, counting, radix, and Powersort in Python.
  • Testing and correctness: Write comprehensive unit tests with unittest, inspired by CPython’s testing style.
  • Abstract Base Classes and Protocols: Use both and understand the differences between them.
  • Recursion: When to use it and, importantly, when it's not appropriate.

Your learning experience
  • Code-along videos that take you from fundamentals to advanced structures.
  • Challenges and solutions so you can cement your understanding.
  • Production patterns that map directly to Python’s standard library, ready for work environments.

FAQ

Will I both implement algorithms and use Python’s built-ins?
Yes. You’ll start by building your own, then master robust standard-library tools for production.

Does the course cover modern CPython sorting?
Up-to-date Python. The course covers modern improvements in CPython, including Python's assignment expressions (the walrus operator) and Powersort for list.sort(), with comparisons to earlier approaches.

Is there a refund policy?
Yes. Udemy offers a 30-day refund window on eligible courses.

Enroll now

Join the next step in your Python journey and learn the data structures and algorithms that make great Python code possible from first principles to production-grade patterns with Tim Buchalka and JP Roberts guiding your way.

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Is the Python Data Structures and Algorithms: Complete Guide Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 9, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Python Data Structures and Algorithms: Complete Guide is a high-value resource for learners seeking to build skills inProgramming Languages. Taught by Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy on Udemy, the 23h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $199.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 2,243 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Python Data Structures and Algorithms: Complete Guide:

  • The depth of Programming Languages coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Python Data Structures and Algorithms: Complete Guide Course holds an aggregate rating of 4.6 out of 5 based on 2,243 student reviews on Udemy.

4.6
★★★★★
2,243 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy, the instructor responsible for creating and maintaining Python Data Structures and Algorithms: Complete Guide on Udemy.

Python Data Structures and Algorithms: Complete Guide is taught by Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy, a Udemy instructor specializing in Programming Languages. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming Academy
•Subject Area: Programming Languages
•Teaching Approach: Practical, project-based instruction focused on real-world application of Programming Languages skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Python Data Structures and Algorithms: Complete Guide, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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