The Complete Data Structures and Algorithms Course in Python

100+ DSA Interview Questions for Cracking FAANG with Animated Examples for Deeper Understanding and Faster Learning

4.56 (10249 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Become a better developer by mastering computer science fundamentals

Learn everything you need to ace difficult coding interviews

Cracking the Coding Interview with 100+ questions with explanations

Time and Space Complexity of Data Structures and Algorithms

Recursion

Big O

Course Gallery

The Complete Data Structures and Algorithms Course in Python – Screenshot 1 — Screenshot 1 – The Complete Data Structures and Algorithms Course in Python

The Complete Data Structures and Algorithms Course in Python – Screenshot 2 — Screenshot 2 – The Complete Data Structures and Algorithms Course in Python

The Complete Data Structures and Algorithms Course in Python – Screenshot 3 — Screenshot 3 – The Complete Data Structures and Algorithms Course in Python

The Complete Data Structures and Algorithms Course in Python – Screenshot 4 — Screenshot 4 – The Complete Data Structures and Algorithms Course in Python

Loading charts...

Comidoc Review

Our Verdict

[The Complete Data Structures and Algorithms Course in Python](http://comidoc.com) proves valuable for aspiring FAANG candidates with its comprehensive curriculum and animated examples. Despite minor flaws such as repetitive speech patterns, lack of descriptive variable naming, and uneven depth of programming explanations, the course offers an engaging learning experience through numerous exercises and challenges. For those eager to dive deeper into sets or better develop coding skills, supplementary resources or alternative practice platforms may be needed.

What We Liked

The course covers a wide range of data structures and algorithms with 100+ interview questions to help prepare for FAANG interviews.
Animated examples are used for deeper understanding and faster learning, which is especially helpful for visual learners.
Includes time and space complexity analysis, recursion, and Big O notation, allowing students to fully grasp the performance of data structures and algorithms.
Rich in coding exercises and challenges, enabling students to practice as they learn.

Potential Drawbacks

Some students find the instructor's repetitive use of phrases like 'so', 'over here', and 'so now' distracting, but this does not affect comprehension.
The course occasionally delves into excessive detail for some programming examples while providing less detailed explanations for others.
Code can be harder to follow when using generic variable names like 'i', 'j', and 'k' instead of more descriptive identifiers.
Although the course introduces a variety of concepts, it does not cover sets, leaving students to seek further resources.