DSA Interview Prep

Name: DSA Interview Prep
Availability: InStock

PYTHONPythonInterviewCareerAlgorithms

Master data structures, algorithms, and coding interview patterns in Python — from Big-O fundamentals through FAANG-level problem solving.

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Course Overview

Data Structures & Algorithms — Coding Interview Prep

Master data structures, algorithms, and coding interview patterns in Python — from Big-O fundamentals through FAANG-level problem solving. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You will start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical, with real examples and an AI tutor available when you need help.

How It Works

Each course is broken into four focused lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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How You'll Learn

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Interactive Lessons

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Curriculum

30 Courses

Every course in the DSA Interview Prep learning path.

Python Warm-Up for DSA

A14 lessons

Refresh your Python fundamentals so you can focus entirely on problem-solving during interviews. This course covers the built-in data types…

Time and Space Complexity

A14 lessons

Learn to analyse any algorithm's efficiency before you write a single line of code. This course introduces Big-O, Big-Theta, and Big-Omega…

Arrays and the Two-Pointer Technique

A14 lessonsPRO

Arrays are the most common data structure in coding interviews. This course starts with essential array operations in Python and then dives…

Strings and Pattern Matching

A14 lessonsPRO

String manipulation problems appear in nearly every coding interview round. This course covers Python's rich string API, sliding-window tec…

Sorting Algorithms

A14 lessonsPRO

Understanding sorting at the implementation level gives you vocabulary to discuss trade-offs confidently in interviews. This course impleme…

Binary Search Mastery

A24 lessonsPRO

Binary search is far more powerful than its textbook definition suggests. This course covers the classic implementation, then extends it to…

Linked Lists from Scratch

A24 lessonsPRO

Linked lists test your ability to manipulate pointers and reason about memory without Python's built-in conveniences. This course builds a…

Stacks and Queues in Action

A24 lessonsPRO

Stacks and queues are the backbone of DFS, BFS, expression parsing, and undo systems. This course builds both from Python lists and collect…

Hash Maps and Sets

A24 lessonsPRO

Hash maps transform O(n) linear scans into O(1) lookups and are the secret weapon behind many optimal interview solutions. This course cove…

Recursion and the Call Stack

A24 lessonsPRO

Recursion is the foundation of tree traversal, backtracking, and divide-and-conquer. This course demystifies how the call stack grows and s…

Trees: Traversals and Paths

B14 lessonsPRO

Binary trees appear in over a quarter of LeetCode medium and hard problems. This course builds a TreeNode class, implements all four traver…

Binary Search Trees

B14 lessonsPRO

BSTs combine the ordering property of sorted arrays with the dynamic insertion of linked lists. This course covers BST insert, search, and…

Heaps and Priority Queues

B14 lessonsPRO

Heaps power streaming-median, top-k-elements, and Dijkstra's algorithm. This course explains the heap property, implements a min-heap from…

Graphs: BFS and DFS

B14 lessonsPRO

Graph problems are ubiquitous in system-design and algorithm interviews. This course represents graphs as adjacency lists and adjacency mat…

Dynamic Programming Foundations

B14 lessonsPRO

Dynamic programming intimidates most candidates, but it reduces to two recognisable ingredients: overlapping sub-problems and optimal subst…

DP Patterns: 1D Problems

B14 lessonsPRO

Many interview DP problems reduce to a one-dimensional array of sub-problem answers. This course identifies the key 1D DP patterns — linear…

DP Patterns: 2D Grid Problems

B14 lessonsPRO

2D DP tables model problems where the state depends on two independent indices, such as two sequences being compared or a grid being naviga…

Backtracking: Search and Enumerate

B14 lessonsPRO

Backtracking systematically explores every candidate solution and abandons branches the moment they violate constraints. This course teache…

Greedy Algorithms

B14 lessonsPRO

Greedy algorithms make locally optimal choices at each step and, when applicable, produce a globally optimal result. This course develops t…

Divide and Conquer

B14 lessonsPRO

Divide and conquer splits a problem into independent sub-problems, solves each recursively, and combines the results. This course goes beyo…

Advanced DP: Intervals and Palindromes

B24 lessonsPRO

Interval DP is a powerful pattern where the sub-problem is defined by two endpoints of a range, enabling optimal solutions for palindrome p…

Advanced DP: Knapsack Variants

B24 lessonsPRO

The knapsack family of problems is one of the most prolific DP archetypes in interviews. This course covers 0/1 knapsack, unbounded knapsac…

Shortest Path Algorithms

B24 lessonsPRO

Shortest-path reasoning appears in network routing, word-ladder, and cheapest-flight problems. This course implements Dijkstra's algorithm…

Topological Sort and SCCs

B24 lessonsPRO

Topological sort orders a DAG so that every edge points forward — it is essential for course scheduling, build systems, and dependency reso…

Tries and String Algorithms

B24 lessonsPRO

Tries (prefix trees) solve autocomplete, spell-check, and IP routing in ways that hash maps cannot. This course builds a TrieNode class sup…

Union-Find and Disjoint Sets

B24 lessonsPRO

Union-Find (Disjoint Set Union) offers near-constant-time connectivity queries and is the cleanest solution to problems involving dynamic g…

Bit Manipulation Tricks

B24 lessonsPRO

Bit manipulation lets you solve certain problems in O(1) or O(n) with no extra space by exploiting the binary representation of integers. T…

Monotonic Stacks and Sliding Window Maximum

B24 lessonsPRO

Monotonic stacks and deques maintain a sorted invariant while processing elements left to right, enabling O(n) solutions to problems that w…

System Design for Coding Interviews

B24 lessonsPRO

Many senior interviews include a 30-45 minute system design round where you must sketch scalable architectures on a whiteboard. This course…

FAANG Patterns and Mock Interview

B24 lessonsPRO

This capstone course consolidates every pattern from the track into a structured problem-solving playbook. You will learn to identify which…

FAQ

Frequently Asked Questions

Is the DSA Interview Prep course free?

Yes. You can start the DSA Interview Prep course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing DSA Interview Prep?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the DSA Interview Prep course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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