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82% Off Python Data Structures & Algorithms + LEETCODE Exercises | Udemy Review & Coupon

82% Off Python Data Structures & Algorithms + LEETCODE Exercises | Udemy Review & Coupon

The DSA is a useful resource for studying for the Cracking the Coding Interview. Animated examples can aid in quicker comprehension and more profound understanding.

This course covers:

This course provides learners with a comprehensive educational experience that covers the key material needed to learn a particular skill set. It is packed with 8 hours of on-demand video lectures and tutorials, 2 articles, 119 downloadable resources, 74 coding exercises, that can all be accessed on mobile and TV devices. Upon successful completion of the course, learners will receive a Certificate of Completion so that they can proudly boast about what they have learned.

What will be learned

Learning data structures and algorithms (DSA) is an essential skill for any programmer. Not only does it open up opportunities with tech-focused roles, but it can help you become a better overall developer. With the right knowledge, you could solve complex technical problems quickly and efficiently. Fortunately, it doesn’t have to be overwhelming – there are resources available to give you a better understanding of DSA concepts and assist in the learning process.

Animated examples are one such tools that can dramatically improve your grasp on concepts such as time and space complexity, problem-solving strategies, sorting and searching algorithms, linked lists, trees and graphs, hashtables and more. With animation technology, developers have the opportunity to visualize algorithms as they run through various operations and uncover clear patterns in their functionalities. By differentiating between each operation visually, animated examples can facilitate more effective learning of DSA than relying on textbooks or lectures alone. Leveraging this type of resource gives learners an edge over simply memorizing abstract equations or struggling through conventional exercises; thus helping them ace interviews with confidence, strengthen their development skills and increase problem solving ability.

About the author

Scott Barrett has a passion for teaching and ensuring that students understand the concepts. He uses animations, coding exercises, and videos to make data structures and algorithms more enjoyable. His courses are designed to help students become proficient in Python programming language, which can open up new opportunities for them in their professional life.


The requirements for participating in this program are fairly simple and straightforward. Firstly, having a basic understanding of programming is important as certain concepts will be used during the course. No previous experience with data structures or algorithms is necessary as these topics will be taught through the program. In other words, even those without any programming background can join and learn from scratch.


Data Structures & Algorithms in Python is an essential course for any aspiring software engineer, providing the foundation needed to understand and implement advanced coding techniques. This comprehensive course provides step-by-step guidance through all of the essential data structures and algorithms with visual instruction to help you keep track of each new concept. Throughout this course you’ll learn everything from basic linked lists and hash tables to more complicated sorting algorithms like insertion sort and selection sort.

In addition to detailed explanations and visuals I have also included helpful tricks and tips specially designed to ease your journey through the world of data structures & algorithms. These include cheat sheets, code snippets, problem solving activities, as well as some hands-on projects which even further increase your understanding and confidence when approaching a coding interview. I am also very active on the discussion board so feel free to ask questions or post practice problems for the entire community’s benefit! You’ll find that the combination of my materials, interactive activities, guided discussions, and personalized feedback will help you master the concepts quickly so that you can ace those interviews!

This course is intended for:

Python Programmers Preparing for an Interview:

When preparing for a Python programming interview, it is important to familiarize yourself with topics related to data structures and algorithms. This includes understanding the different types of data structures such as lists, stacks, queues, trees, hash tables and graphs. It is also important to know common algorithms used in solving problems such as searching (linear and binary search), sorting (insertion, selection and quick sort) and tree traversal (depth-first and breadth-first search). With a solid understanding of these concepts, you will be better prepared to ace a coding interview.

University Students Taking a Data Structures and Algorithms Course:

For university students taking a data structures and algorithms course, this course provides an in-depth look at all the essential concepts. You will learn about basic data structures like linked lists and hash tables, as well as more complicated sorting algorithms such as insertion sort and selection sort. You will also get a chance to work on coding problems that are commonly asked during interviews.

Any Self-Taught Programmer Who Missed Out on a Computer Science Degree:

If you are a self-t aught programmer who didn’t have the opportunity to attend a computer science degree program, this course will help you gain an in-depth understanding of data structures and algorithms. You will learn about terms such as lists, stacks, queues, trees, hash tables and graphs. You will also get an introduction to sorting algorithms like insertion sort and selection sort. Furthermore, this course provides plenty of practice problems , cheat sheets, and code snippets to help you gain confidence and ace those interviews.


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Customer Reviews

Based on 1 review
The course is short and well-structured.

This course met my expectations for a Python algorithms course. The instructor covered various methods and sorting algorithms, explained them using clear animations, discussed performance using the Big O theory, and responded promptly to learner questions. This course is highly regarded in the field of Python algorithms and is worth the investment.

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