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Best Python DSA Program - Placement Focused Training With Resume Ready Projects

Master Python DSA with placement-focused training, coding interview preparation, problem-solving, and resume-ready projects designed to build job-ready skills.

11,000+ Total students enrolled
by YTLC Scholars

Overview

Course Overview

Best Python DSA Program is a placement-focused training program designed to build strong programming, problem-solving, and coding interview skills using Python. The course starts with Python fundamentals and DSA concepts and progressively covers time and space complexity, arrays, recursion, searching, sorting, stacks, queues, linked lists, hashing, trees, and traversals. With a strong focus on practical learning, you’ll solve coding and interview problems based on commonly used DSA patterns and develop efficient approaches to problem-solving. Dedicated modules cover DSA interview preparation, AI-powered learning, and interview-focused practice to help you prepare for technical hiring processes. The program also emphasizes resume-ready projects, allowing you to demonstrate your programming and problem-solving abilities through practical work. Whether you’re a student preparing for placements, a beginner learning DSA, or an aspiring software developer preparing for coding interviews, this course provides a structured pathway from Python fundamentals to interview-level DSA skills.

Best Python DSA Program - Placement Focused Training With Resume Ready Projects

Course Information

Duration
11h 45m
Lessons
47 Lessons
Language
English, Hindi
Files
0 files
Last Update
Sep 30, 2026

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Curriculum

Course Module

  • Getting Started with Python Setup and Core Syntax 07:17
  • Mastering Variables, Data Types, and User Input 09:25
  • Conditional Thinking for Problem Solving (if-else Deep Dive) 07:24
  • Loops and Iteration Techniques for Problem Solving 08:40
  • Functions and Modular Coding for DSA 11:27
  • Building Intuition for Time Complexity (Real-World Thinking) 07:30
  • Big-O and Space Complexity Explained for Interviews 14:38
  • Breaking Down Code to Evaluate Performance 11:44
  • Mastering Arrays in Python Lists, Operations, and Traversal Techniques 19:19
  • 1Solving Core Array Problems Two Sum, Stock Buy & Sell, Move Zeroes 30:54
  • Sliding Window Technique for Efficient Problem Solving 14:55
  • Applying Sliding Window Longest Substring Without Repeating Characters 14:05
  • Two-Pointer Technique Solving the Valid Palindrome Problem 07:55
  • Understanding Recursion Base Case, Recursive Case, and Types 12:45
  • Call Stack Deep Dive Visualizing Recursive Execution 13:10
  • Building Logic with Classic Problems Factorial, Fibonacci, Array Reversal 10:55
  • Applying Recursion Fibonacci and String Reversal Problems 20:06
  • Linear vs Binary Search Concepts, Logic, and Use Cases 21:04
  • Applying Binary Search Solve Search Insert Position and Variants 20:34
  • Advanced Binary Search - Finding Peak Element Problem Solving 10:37
  • Sorting Fundamentals Bubble and Selection Sort 15:39
  • Merge Sort Divide and Conquer Approach for Efficient Sorting 16:35
  • Pattern-Based Problem Solving Sort Colors (Dutch Flag Concept) 08:00
  • Understanding Stacks and Queues with Python Implementation 18:10
  • Designing and Solving the Min Stack Problem 13:58
  • FIFO Concepts and Implementing a Queue Using Stacks 28:10
  • Solving Classic Stack Problems Valid Parentheses and Next Greater Element I 21:04
  • Linked List Fundamentals - Nodes, Structure, and Array Comparison 13:23
  • Mastering Singly Linked List Operations and Pointer Techniques 18:26
  • Two-Pointer Strategy - Remove Nth Node from End 12:35
  • Developing Reverse Linked List Logic and Pointer Thinking 09:08
  • Solving the Reverse Linked List Problem Step-by-Step 11:19
  • Advanced Linked List Problems - Cycle Detection and Merging Sorted Lists 25:50
  • Understanding Hashing, Python Dictionaries, Sets, and Frequency Counting 19:51
  • Applying Hash Maps to Solve Duplicate and Array Intersection Problems 16:14
  • Solving Classic Hashing Problems - Valid Anagram and Two Sum 21:37
  • Binary Tree Fundamentals Types, Structure, and Problem-Solving Intuition 10:14
  • Tree Traversal Techniques DFS, BFS, Level Order Traversal, and Queue-Based Processing 21:25
  • Recursive Tree Problem Solving Maximum Depth of Binary Tree (Linkedin & Amazon's Fav. Ques) 11:51
  • Tree Traversal in Practice Binary Tree Inorder Traversal 13:48
  • Breadth-First Search Binary Tree Level Order Traversal (Bloomberg & Amazon's Fav. Ques) 12:51
  • Interview Favorite Solving the Same Tree Problem Efficiently 10:00
  • How Top Candidates Approach DSA Problems and Build Solutions 10:21
  • Pattern Recognition Masterclass Arrays, Hashing, and Recursion Thinking 11:33
  • Complete DSA Interview Roadmap for Product-Based Companies 10:43
  • AI Tools and Prompt Engineering for Faster DSA Learning 16:01
  • AI for DSA Practice Problem Solving, Optimization, and Interview Preparation 12:05
Final Assessment
  • Python DSA Placement Quiz 5 questions

Outcomes

What you'll learn

  • ✓ Time & Space Complexity
  • ✓ Arrays & Problem Solving
  • ✓ Recursion
  • ✓ Searching & Sorting
  • ✓ Stacks & Queues
  • ✓ Linked Lists
  • ✓ Hashing & Dictionaries
  • ✓ Trees & Traversals
  • ✓ Coding Interview Patterns
  • ✓ DSA Problem Solving

After You Start

You'll get

  • • Interview Preparation
  • • Placement-Focused MCQs
  • • Resume-Ready Projects
  • • Problem-Solving Skills

Course Completion Certificate issued under an ISO 9001:2015 & AICTE integrated training program

Course Completion Certificate

Showcase your achievement on your resume. This certificate validates your skills and helps you stand out to employers.

  • • Gain engagement & optimize your LinkedIn with the shareable certificate
  • • Verified by QR via YTLC Scholars' site
  • • Issued instantly on course completion
YTLC Scholars Certificate

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