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Course Overview

This Placement-Oriented Data Structures & Algorithms (DSA) course is designed to help students and job seekers build strong problem-solving skills required for technical interviews, coding tests, and campus placements.
The course focuses on concept clarity, coding implementation, and real interview problems, taught with a practical, step-by-step approach.

Who This Course Is For

Engineering students (CSE / IT / ECE)
Beginners in programming who want to master DSA
Students preparing for FAANG / product-based companies
Candidates targeting campus placements & off-campus drives
Professionals looking to strengthen algorithmic thinking

Programming Languages Covered

C / C++
Java
Python
(Students can choose their preferred language for practice)

Course Curriculum

1. Programming Foundations

Time & Space Complexity (Big-O Notation)
Recursion & Backtracking
Problem-solving strategies

2. Linear Data Structures

Arrays & Strings (Interview-focused problems)
Linked List (Singly, Doubly, Circular)
Stack (Applications & problems)
Queue (Simple, Circular, Deque, Priority Queue)

3. Non-Linear Data Structures

Trees
- Binary Tree
- Binary Search Tree
- Tree Traversals
Heaps & Priority Queues
Hashing (Hash Maps & Hash Sets)

4. Algorithms

Sorting Algorithms (Bubble, Selection, Insertion, Merge, Quick)
Searching Algorithms (Linear, Binary Search)
Greedy Algorithms
Divide & Conquer
Dynamic Programming (Intro to Advanced)
Graph Algorithms (BFS, DFS, Shortest Path basics)

5. Interview Problem Solving

Company-specific coding questions
Pattern-based problem solving
Mock coding interviews
Resume-oriented DSA problems

Teaching Methodology

Mode: Online Live Classes
Concept explanation with visuals
Live coding sessions
Step-by-step problem breakdown
Multiple approaches for each problem
Interview tips & optimization techniques

Key Highlights

✔ Placement-focused curriculum
✔ Real interview questions from top companies
✔ Hands-on coding practice
✔ Personalized doubt-clearing sessions
✔ Mock interviews & assessments
✔ Beginner-friendly to advanced progression

Learning Outcomes

After completing this course, students will be able to:

Write optimized and clean code
Analyze time & space complexity
Solve DSA interview problems confidently
Crack coding rounds and technical interviews
Build a strong foundation for competitive programming

da:T484,

Dr. Umamageswari B is a highly experienced Computer Science tutor with 13 years of teaching experience and a Ph.D qualification, specializing in Data Structures, Algorithms, Competitive Programming, and Java Full Stack Development.

She trains students for technical interviews, problem-solving skills, and core programming foundations, making her an ideal mentor for engineering students, computer science graduates, and aspiring software developers. Her sessions emphasize logical thinking, algorithmic efficiency, and real-world coding practices.

🎓 Qualifications

Ph.D
B.Tech / B.E.
Diploma

🧑‍🏫 Teaching Experience

13 years of experience in Computer Science education
Strong background in algorithms, programming languages, and interview preparation
Experience teaching engineering students and competitive programming aspirants

db:Tbd5,

Overview

The Data Structures & Algorithms in C++ Course by Himanshu Yadav is a comprehensive training program designed for students and aspiring programmers who want to build strong problem-solving skills and prepare for coding interviews and competitive programming. This course focuses on developing a deep understanding of data structures, algorithmic thinking, and efficient coding practices using C++.

The curriculum is carefully structured from fundamental programming concepts to advanced algorithm techniques. Students will learn how to analyze time and space complexity, design optimized solutions, and apply concepts to real-world problem scenarios. Whether you are preparing for technical interviews, coding competitions, or improving core computer science foundations, this course provides the right balance between theory and practical implementation. Classes are available in both online and offline formats, offering flexible learning options.

What Students Will Learn

C++ fundamentals and algorithm complexity analysis
Arrays, strings, and searching techniques
Recursion and backtracking problem-solving methods
Linked lists, stacks, queues, and deques
Heaps and priority queue implementation
Greedy algorithm strategies
Binary trees and binary search trees
Advanced tree-based problem solving
Graph algorithms and traversal techniques
Dynamic programming concepts and optimization methods
Trie data structure and string algorithms
Bit manipulation techniques
Interview preparation strategies and contest problem-solving approaches

Teaching Method

Interactive online and offline classroom sessions
Step-by-step concept explanation with code walkthroughs
Problem-solving focused teaching approach
Live coding demonstrations and practice sessions
Regular assignments and coding challenges
Doubt-clearing and revision sessions

Why Learn With Himanshu Yadav

Himanshu Yadav focuses on building logical thinking and algorithmic clarity among students. The teaching approach emphasizes understanding concepts deeply rather than memorizing solutions. Lessons are structured to help learners progress gradually from basic to advanced problem-solving levels.

Benefits and Outcomes

Strong foundation in data structures and algorithms
Improved coding and problem-solving skills
Better performance in technical interviews
Preparation for competitive programming contests
Enhanced understanding of algorithm optimization
Increased confidence in handling complex coding problems

dc:T8d3,

I’m Himanshu Yadav, a Software Engineer at Expedia Group, specializing in Android Development and Data Structures & Algorithms.

I completed my B.Tech in Information Technology from Netaji Subhas University of Technology (NSUT), Delhi (2020–2024) and received a Pre-Placement Offer (PPO) after my internship at Expedia. After graduation, I joined Expedia full-time, where I currently work on large-scale mobile applications used by millions of users.

At Expedia, I have contributed to core checkout and payment modules, implemented scalable UI components using Kotlin and Jetpack Compose, handled complex validation and error flows, and written high-quality unit tests to ensure system reliability. I work with modern Android architecture, including MVVM, Clean Architecture, Coroutines, and Flow, following industry best practices.

Alongside professional development, I am passionate about problem-solving and competitive programming, with 1000+ solved problems across LeetCode, CodeChef, and CodeForces. I am a 4-Star CodeChef coder and rank in the Top 5% on LeetCode.

What I Teach

✅ Android Development (Kotlin, Jetpack Compose, MVVM, Clean Architecture)
✅ App Architecture & Industry Best Practices
✅ REST APIs, Retrofit, Coroutines, Flow
✅ Data Structures & Algorithms
✅ Competitive Programming
✅ Technical Interview Preparation

My Teaching Approach

My teaching focuses on building strong fundamentals with practical application. I emphasize:

Clear and structured explanations
Real-world examples from industry projects
Hands-on coding practice
Systematic problem-solving techniques
Interview-oriented preparation

Whether you are a beginner starting your Android journey or preparing for software engineering interviews, I will help you develop real-world skills, confidence, and long-term career readiness.

dd:T104b,

Python

Learn Core Python Programming and Problem-Solving Skills

Python is one of the most popular programming languages used in software development, automation, web applications, and data analysis. Its simple syntax makes it an excellent choice for beginners while also supporting advanced programming concepts. Learning Python helps students develop logical thinking, coding skills, and problem-solving techniques that are useful across many areas of technology.

This Core Python with Data Structures and Algorithms (DSA) course introduces learners to Python fundamentals before progressing to programming concepts, object-oriented programming, file handling, and algorithmic thinking.

Module 1: Python Fundamentals

Introduction to Python
Installing Python & IDE Setup
Variables and Data Types
Input and Output
Operators
Type Casting

Module 2: Control Flow

Conditional Statements (if, elif, else)
Nested Conditions
Match Case (Python 3.10+)
Practice Problems

Module 3: Loops

for Loop
while Loop
Nested Loops
break, continue, pass
Pattern Programming
Mini Exercises

Module 4: Functions

Creating Functions
Function Arguments
Return Statements
Lambda Functions
Recursion (Basics)
Variable Scope

Module 5: Python Data Structures

Strings
Lists
Tuples
Dictionaries
Sets
Common Built-in Methods

Module 6: File Handling

Reading Files
Writing Files
CSV Files
JSON Files
Exception Handling
Context Managers (with)

Module 7: Object-Oriented Programming

Classes & Objects
Constructors
Inheritance
Polymorphism
Encapsulation
Abstraction

Module 8: Python Modules

Creating Modules
Importing Packages
Virtual Environments
pip Package Management

2. Basic Data Structures & Algorithms (DSA)

Module 1: Algorithm Basics

What is an Algorithm?
Time Complexity (Big-O Basics)
Space Complexity
Problem Solving Approach

Module 2: Arrays & Strings

Array Operations
String Manipulation
Searching Elements
Practice Problems

Module 3: Searching Algorithms

Linear Search
Binary Search (Basics)

Module 4: Sorting Algorithms

Bubble Sort
Selection Sort
Insertion Sort
Built-in Sorting

Module 5: Basic Recursion

Recursive Thinking
Factorial
Fibonacci
Basic Recursive Problems

Module 6: Introduction to Common Data Structures

Stack (Basics)
Queue (Basics)
Dictionary (Hash Map)
Set
Basic Applications

Frequently Asked Questions

1. Is this Python course suitable for beginners?
Yes. The course starts with Python fundamentals and gradually progresses to object-oriented programming and basic Data Structures and Algorithms.

2. Does the course include DSA?
Yes. Students learn arrays, strings, searching, sorting, recursion, stacks, queues, and algorithm basics.

3. Are classes conducted online?
Yes. The Python course is available online with weekday and weekend sessions over a duration of two months.

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