Data Structure & Algorithm
Master the art of problem-solving and programming with this comprehensive Data Structures & Algorithms (DSA) course using Python. Gain the skills to design and analyze efficient algorithms while learning to implement core data structures to tackle real-world challenges.
1. Learn the fundamental concepts of data structures and algorithms and their importance in computer science.
2. Understand and implement essential data structures, including arrays, linked lists, stacks, queues, hash maps, trees, and graphs.
3. Master algorithmic techniques such as recursion, dynamic programming, divide and conquer, and greedy algorithms.
4. Analyze the time and space complexity of algorithms to write efficient code.
30000+
Students placed
4000+
Hiring Companies
69700+
Non IT Students placed
Course Content
1. Level 1- OOMD & Design Patterns
1.1. Chapter 1: Introduction to Object-Oriented Modeling and Design
1.2. Week 2: Introduction to UML (Unified Modeling Language)
1.3. Week 3: Object-Oriented Analysis and Design
1.4. Week 4: Class and Sequence Diagrams
1.5. Week 5: Interaction and State Diagrams
1.6. Week 6: Design Patterns Introduction
1.7. Week 7: Behavioral Patterns and Refactoring
1.8. Week 8: Advanced Object-Oriented Design Concepts
1.9. Week 9: Object-Oriented Architectural Patterns
1.10. Week 10: Design for Quality and Performance
1.11. Week 11: Object-Oriented Design in Practice
1.12. Week 12: Modeling and Designing Software Systems
1.13. Week 13: Software Design Tools
2. Level 2- Data structures
2.1. Week 1: Introduction to Data Structures and Algorithms
2.2. Week 2: Arrays
2.3. Week 3: Linked Lists
2.4. Week 4: Stacks
2.5. Week 5: Queues
2.6. Week 6: Recursion
2.7. Week 7: Trees - Introduction
2.8. Week 8: Binary Search Trees (BST) and Balanced Trees
2.9. Week 9: Heaps
2.10. Week 10: Graphs
2.11. Week 11: Shortest Path Algorithms
2.12. Week 12: Minimum Spanning Tree (MST)
2.13. Week 13: Sorting Algorithms
2.14. Week 14: Advanced Topics
2.15. Week 15: Dynamic Programming
2.16. Evaluation Methods
3. Level 3- Data structures & Algorithms
3.1. Chapter 1: Introduction to Algorithms
3.2. Chapter 2: Divide and Conquer
3.3. Chapter 3: Greedy Algorithms
3.4. Chapter 4: Dynamic Programming (DP)
3.5. Chapter 5: Backtracking
3.6. Chapter 6: String Matching Algorithms
3.7. Chapter 7: NP-Completeness and Approximation Algorithms
3.8. Chapter 8: Amortized Analysis
3.9. Chapter 9: Parallel Algorithms
3.10. Chapter 10: Randomized Algorithms
3.11. Chapter 11: Approximation Algorithms
3.12. Chapter 12: Advanced Topics (Optional)
Upcoming Batches
Highlights about the Course
Who this course is for?
- Beginners who want to learn data structures and algorithms from scratch using Python.
- Students preparing for technical interviews and coding competitions.
- Developers seeking to improve their problem-solving skills and write efficient, scalable code.
- Professionals transitioning to roles that require strong algorithmic and coding skills.
Why take this course?
- Build a deep understanding of data structures and algorithms to enhance your coding abilities.
- Learn Python-specific implementations of DSA concepts, making you proficient in one of the most popular programming languages.
- Prepare for technical interviews at top companies by solving commonly asked algorithmic problems.
- Develop efficient and optimized solutions to tackle complex real-world problems with confidence.
What you will learn?
- Understand the basics of Python programming and its relevance to DSA.
- Learn about arrays and strings, their operations, and use cases.
- Implement linked lists, stacks, and queues to solve data management problems.
- Dive into tree structures, including binary trees, binary search trees, and heaps, to solve hierarchical data problems.
- Master algorithmic techniques such as sorting, searching, dynamic programming, and backtracking.
- Analyze algorithm efficiency using Big-O notation to write optimized code.
Frequently Asked Questions
Often asked questions from our wonderful partners
What Courses are offered by Innovator Hub?
Innovator Hub offers a variety of courses in software testing, including manual testing, automation testing, performance testing, and advanced testing techniques using tools like Selenium. They also offer training in programming languages like Java and Python.
Are the courses at Innovator Hub suitable for beginners?
Yes, Innovator Hub courses are designed to cater to all levels of learners, from beginners to advanced professionals. They provide foundational courses for those new to the field as well as advanced courses for experienced professionals looking to upskill.
What is the duration of the courses offered by Innovator Hub?
The duration of courses varies depending on the specific course and the level of depth it covers. Typically, courses can range from 6 weeks to 3 months.
Does Innovator Hub offer any job placement assistance?
Yes, Innovator Hub provides job placement assistance to its students. They have tie-ups with various companies and conduct regular placement drives to help students secure jobs in the software testing industry.
What are the prerequisites for enrolling in a course at Innovator Hub?
There are no strict prerequisites for most courses. However, a basic understanding of programming concepts and software development can be beneficial. Some advanced courses may require prior knowledge in specific areas, which is described under courses FAQs.