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๐Ÿ’ป Master Linked Lists And Trees Data Structures with Python course preview

5.0

Course Rating

4.8k+

Learners

1 hr 40 min

Total Content

Beginner

Level

Level: Beginner

๐Ÿ’ป Master Linked Lists And Trees Data Structures with Python

Learn the data structures that power coding interviews. Build Linked Lists, Trees, Heaps, and Priority Queues in Python through hands-on coding and problem-solving.

Lifetime Access

Learn anytime. No deadlines.

Session Recordings

Rewatch sessions and learn at your pace.

Mentor Support

Get guidance and clear your doubts.

Community Access

Learn, connect, and grow together.

Tools & Technologies You'll Use

Python

LeetCode

Linked Lists,

Trees

HashMap

Lifetime Access

Learn at your own pace, anytime, anywhere.

Certificate

Earn a verified certificate upon completion.

Hands-on Projects

Build real-world projects for your portfolio.

Mentor Support

Get guidance and clear your doubts.

Live Sessions Including

Topic Explanation

Learn concepts live with practical examples.

Doubt Clearing Sessions

Ask questions, clear doubts, and get help.

Hands-on Projects

Work on projects with guidance and support.

Mock Interview

Practise interviews and exchange feedback.

Session dates and times are scheduled based on community demand.

Learn First. Pay Later.

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Benefits

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Earn a Verified Certificate

Pay as Much as You Wish

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After this course, you can

Implement linked lists from scratch

Solve tree traversal problems

Master heaps and priority queues

Crack DSA interview questions

Course Curriculum

Follow this structured learning path to build skills from beginner to advanced.

Lessons

Start here after enrolling. These lessons build your core foundation step by step.

Why Arrays Aren't Enough, and What a Node Really Is

19 min

Singly Linked List: Insert, Delete, Search, and the Head Pointer You Keep Losing

15 min

Doubly and Circular Linked Lists: When Going Backwards (or in Loops) Makes Sense

14 min

Reversing a Linked List: The Three-Pointer Dance

14 min

Cycle Detection: Floyd's Tortoise and Hare

12 min

Merging Two Sorted Lists, Plus Mini-Project: A Browser History Manager

17 min

Trees in the Wild: Hierarchy, Terminology, and Building a Tree Node

12 min

Binary Search Tree: Insert, Search, and the Tricky Two-Children Delete

12 min

The Worst Case: How a BST Secretly Becomes a Linked List

19 min

AVL Trees: Rotations and Self-Balancing

18 min

B-Trees: Why Databases Don't Use BSTs

13 min

Validating a BST and Finding Min, Max, and Successor

18 min

DFS vs BFS: The Two Ways to Walk a Tree

15 min

Inorder, Preorder, Postorder: What Each Order Is Actually For

18 min

Iterative Traversals With an Explicit Stack

13 min

Level Order Traversal With a Queue (BFS in Action)

15 min

Tree Construction: Rebuilding a Tree From Traversal Pairs

17 min

Lowest Common Ancestor, Tree Height, and Diameter

15 min

The Heap Property: A Tree Living Inside an Array

13 min

Min Heap and Max Heap: Insert, Extract, Sift-Up, Sift-Down

12 min

Heapify: Building a Heap in O(n)

18 min

Python's heapq Module and Building a Priority Queue Class

14 min

Top-K Problems: Largest, Most Frequent, Kth Smallest

16 min

Merge K Sorted Lists, Plus Mini-Project: A Task Scheduler

19 min

Why Hash Maps Fail at Prefixes, and What a Trie Looks Like

18 min

Trie Implementation: Insert, Search, and startsWith

15 min

Prefix Search: Collecting All Words Under a Prefix

16 min

Dictionary Search With Wildcards

15 min

Auto-complete: Ranking Suggestions by Frequency

13 min

Course Project: A CLI Auto-complete Search Engine

19 min

The Range Query Problem: Why Prefix Sums Break on Updates

15 min

Segment Tree: Build and Query

18 min

Segment Tree: Point Updates and Range Min/Max

13 min

Fenwick Tree (BIT): The Elegant Bit-Trick Alternative

17 min

Segment Tree vs Fenwick Tree: Which One and When

17 min

Tree DP Basics: Counting, Path Sums, and Balanced Trees

16 min

Live Session Recordings

Live

Learn live with instructors, ask questions, and get real-time guidance. Previous recordings are included.

Topic Explanation

Learn concepts live with practical examples and guidance.

Weekly Once

Doubt Clearing Sessions

Ask questions, clear doubts, and get help when you need it.

Weekly Twice

Hands-on Projects

Work on projects with guidance and support from mentors.

Monthly Once

Mock Interview

Practise interviews, exchange feedback, and build confidence.

Daily

Bonus Resources

Get bonus content and resources to practise, revise, and go deeper.

Study Materials

Cheat Sheets

Interview Q&A

PYQ PDFs

PPTs

Quizzes

Requirements

What you should have before starting the course.

Complete a basic Python programming course

Understand variables, loops, and functions

A computer with Python 3 installed

Passion to solve coding problems

Curriculum Designed & Verified by Industry Experts

Learn skills and concepts validated by industry professionals who use them in real-world work every day.

Aarav Sharma

Aarav Sharma

Senior Frontend Engineer, StudioLabs

Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.

LinkedIn
Ananya Mehta

Ananya Mehta

Design Technologist, CraftLabs

Ananya blends design and code to help learners ship portfolio-ready projects.

LinkedIn
Kabir Sayed

Kabir Sayed

Frontend Mentor, PixelWorks

Kabir focuses on clean code, accessibility, and practical frontend delivery.

LinkedIn

This course is for you if you want to

Wherever you are in your journey, this course helps you learn, build, and grow with confidence.

Students & Fresh Graduates

Build a strong foundation and turn what you learn into practical experience.

Learn from beginner to advanced

Build real-world projects

Get feedback and improve

Working Professionals

Upgrade your skills and apply new knowledge directly in your career.

Learn in-demand skills

Apply directly to your work

Grow with practical knowledge

Career Switchers

Follow a clear path as you transition confidently into a new career.

Structured learning path

Hands-on practice

Mentor support at every step

Freelancers & Creators

Sharpen your craft and deliver better results for your clients and audience.

Work on client-ready projects

Improve efficiency and quality

Stay current with modern tools

For anyone who wants to learn, build, and grow. All you need is curiosity and a willingness to take the first step.

What you will get after completing this course

Illustration of a verified course completion certificate

Receive an official course completion certificate

Live verification URL with PDF and downloadable option

Signed by your course designer and the Director of Shattak

Carries your name, course title, and completion date

Recruiters can check it in seconds from your LinkedIn or resume

Pay After Certification

Pay whatever you feel it is worth, only after you get certified. No questions asked.

Hear From Learners Who've Taken This Course

Honest feedback from learners who completed the live sessions.

4.8

24

Clear structure, solid examples, and a fast pace that keeps you engaged.

Riya Jain

Riya Jain

B.Tech, NIT Trichy

4.6

18

Practical sessions with feedback that helped improve my portfolio.

Kabir Singh

Kabir Singh

Frontend Intern, PixelWorks

4.9

12

Loved the structure and the live walkthroughs.

M

Meera Patel

Design Graduate

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Duration

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