Python-powered DSA Mastery

DSA with Python Course: Live Online

Build practical data structures and algorithms skills in 30 days of live classes.

Join at just ₹1,499

Because your career growth shouldn’t be limited by price.

Morning Batch: 7AM-8AM
1 Month Intensive
Live Interactive
Enroll in the DSA Course Watch Curriculum Preview
dsa_mastery.py 
1 class DSAMastery:
2     def __init__(self, student):
3         self.student = student
4         self.skills = []
5         
6     def master_dsa(self):
7         return "Job Ready!"
8         
9 # Your journey starts here
10 you = DSAMastery("Future Developer")
Interactive Learning

See DSA Come to Life

Visualize data structures in real-time with our interactive canvas

Linked List Visualization

Watch nodes connect with elastic springs. Hover to see new nodes slide in with smooth bezier curves. Understand pointers like never before!

Graph Networks

Nodes self-organize using force-directed animation. Edges draw themselves with SVG stroke-dashoffset. Experience BFS and DFS visually!

Binary Search Tree

Watch trees grow from root with balancing animations. Nodes pulse when "inserted". See rotations happen in real-time!

Sorting Algorithms

Live bars rearrange themselves - merge sort merging, quick sort partitioning. Click algorithm names to see them in action!

Hash Tables

See collision resolution animation with keys sliding into buckets. Understand hash functions visually!

Complete Syllabus

Master Every Data Structure

6 comprehensive modules with hands-on visualization

Arrays & Strings

Memory allocation visualization included. Master array manipulation, 2D arrays, and string algorithms.

Dynamic Arrays Sliding Window Two Pointers
  • Array rotation and reversal
  • Kadane's Algorithm
  • String matching algorithms
  • Memory layout visualization

Linked List

Singly, Doubly, Circular with pointer animations. Visualize node connections and traversals.

Singly Linked Doubly Linked Circular
  • Insertion and deletion
  • Reversal algorithms
  • Cycle detection (Floyd's)
  • Merge sorted lists

Stacks & Queues

LIFO vs FIFO with real-time push/pop visualization. Implement using arrays and linked lists.

Stack Queue Deque
  • Parentheses matching
  • Next Greater Element
  • LRU Cache implementation
  • Queue using two stacks

Hashing

Collision handling, HashMaps, Sets. See hash functions and collision resolution in action.

Hash Functions Chaining Open Addressing
  • HashMap implementation
  • Collision resolution
  • Frequency counting
  • Two-sum problem

Trees & BST

Traversal animations, AVL basics. Watch trees grow and balance in real-time.

Binary Tree BST AVL
  • Inorder, Preorder, Postorder
  • Level order traversal
  • LCA problems
  • Tree construction

Graphs

BFS, DFS, Shortest Path with node exploration. Visual graph algorithms in action.

BFS DFS Dijkstra
  • Graph representations
  • Cycle detection
  • Topological sort
  • Shortest path algorithms
Yukti - DSA Instructor
4+ Years @ MNCs
Project-Based Teaching
Your Mentor

Meet Your Mentor

Yukti

4+ Years @ MNCs Industry experience at top tech companies
Masters Candidate, USA Pursuing advanced CS degree
Structured DSA Mentoring Concepts, visualizations and interview practice

"I believe everyone can master DSA with the right guidance. My mission is to make complex concepts simple through visualization and practical examples."

Course Format

Practical DSA Learning at an Accessible Price

Compare a self-guided approach with Kodyfier's structured live course.

Self-Guided Learning

Flexible
  • Learn at your own pace
  • Choose your own resources
  • Support varies by platform
  • Build your own study plan
VS
BEST VALUE

Kodyfier

₹ 1,499
  • Live interactive classes
  • DSA visualization software
  • 24/7 doubt support
  • Interview-focused curriculum

What You Get

Live Classes
Included
Daily Doubt Sessions
Included
Interview Prep Kit
Included
Python Mastery Guide
Included
Complete course package
You Pay: ₹1,499
Interview Ready

Crack Any Interview

Big-O mastery + company-specific prep. Interview preparation is provided; employment outcomes are not guaranteed.

Complexity Comparison

O(1) - Constant
O(log n) - Logarithmic
O(n) - Linear
O(n²) - Quadratic

Mock Interview Sessions

solution.py 
def binary_search(arr, target):
    left, right = 0, len(arr) - 1
    while left <= right:
        mid = (left + right) // 2
        if arr[mid] == target:
            return mid
        elif arr[mid] < target:
            left = mid + 1
        else:
            right = mid - 1
    return -1
LIVE
Interviewer

Stop Waiting. Start Coding.

Your morning 7-8 AM is enough to build real problem-solving skills

ENROLL NOW FOR ₹1,499
Secure Payment
Instant Access
Certificate Included