Data Structures and Algorithms
Master the building blocks of efficient software development with Data Structures and Algorithms. Learn to solve complex problems using optimized data storage and retrieval techniques. Gain hands-on experience implementing core data structures and algorithms in Python. Work on practical coding challenges to improve problem-solving and computational thinking. Prepare for top tech interviews and careers in software development, AI, and data engineering.
Course Overview
You’ll start with the basics, including arrays, linked lists, stacks, and queues.
Progress to advanced topics such as trees, graphs, heaps, hashing, and dynamic programming.
Hands-on exercises and coding projects help you implement algorithms efficiently.
You’ll learn to analyze algorithm complexity, optimize performance, and solve real-world problems.
By the end of the course, you’ll have the skills to excel in software development, competitive programming, and technical interviews.
what you will learn
- Understand and implement core data structures including arrays, linked lists, stacks, and queues.
- Master advanced data structures such as trees, graphs, heaps, and hash tables.
- Develop algorithmic problem-solving skills with sorting, searching, and dynamic programming.
- Analyze time and space complexity for efficient code design.
- Work with Python to implement and test algorithms.
- Solve real-world coding challenges and competitive programming problems.
- Prepare for technical interviews at top tech companies.
- Build a strong foundation for advanced topics like Machine Learning and System Design.
Next Cohort Starts On 30 Nov
Skilled Covererd
- Core and Advanced Data Structures
- Algorithm Design and Problem Solving
- Sorting, Searching, and Recursion Techniques
- Complexity Analysis and Optimization
- Python Implementation of Algorithms
- Competitive Programming and Interview Readiness
Benefits
The certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.
Designation
Annual Salary
Hiring Companies
Course Curriculum
Introduction
What are Data Structures & Algorithms?
Importance & Applications
Time and Space Complexity
Arrays & Strings
Linked Lists
Stacks & Queues
Trees & Graphs
Hashing & Heaps
Searching & Sorting Algorithms
Advanced Topics
Capstone / Coding Challenges
Data Structures and Algorithms FAQ
Basic programming knowledge is recommended, but advanced data structures and algorithms will be taught from scratch.
Python will be used for coding examples and exercises, but concepts apply to any language.
Yes, the course includes numerous coding exercises, projects, and problem-solving challenges.
Absolutely. It guides learners step-by-step from basic data structures to advanced algorithms.
You’ll acquire in-demand coding and problem-solving skills essential for software engineering, competitive programming, and technical interviews.
Eligibility
- Strengthen problem-solving and logical thinking skills essential for software engineering roles.
- Gain hands-on experience with practical coding challenges and projects.
- Build confidence for technical interviews at top tech companies.
- Learn efficient coding techniques that enhance software performance.
- Lay the foundation for advanced topics in AI, Machine Learning, and System Design.
- Increase employability and career growth opportunities in software development.
- Enhance your coding portfolio with well-structured and optimized algorithms.
- Develop transferable skills applicable across industries and technical roles.
Pre-requisites
- Basic knowledge of programming (preferably Python, C++, or Java).
- Understanding of fundamental mathematics and logical reasoning.
- Curiosity and willingness to solve algorithmic problems.
- No prior experience with advanced data structures or algorithms required.
Contact Us
1800-212-7688
(Toll Free)
Why join this program
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops
24×7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
