Introduction
This course on data structures and algorithms is designed for students and professionals who want to pass top technical interviews and improve their coding problem-solving skills. You will learn core DSA concepts, common interview patterns, optimization techniques, and practice with real questions and tests. The course balances theory and hands-on exercises so you can confidently tackle array, tree, graph, sorting, searching and dynamic programming problems.
Quick Facts
- Instructor: Sanjay Parmar
Course Snapshot
- What you’ll learn
- Implement and use arrays, linked lists, stacks, queues, trees and graphs.
- Apply sorting and searching techniques such as quicksort, mergesort and binary search.
- Solve dynamic programming problems using memoization and tabulation.
- Analyze and improve time and space complexity for efficient code.
- Develop patterns for common interview problems: two-pointers, sliding window, BFS/DFS.
- Prepare with practice tests including MCQs and MSQs with detailed explanations.
- Who this is for
- Students preparing for internships or entry-level software roles.
- Professionals seeking career growth and higher-paying positions.
- Anyone who wants to improve problem-solving skills in DSA.
- Prerequisites
- Not specified
Course Overview & Syllabus Highlights
Course Overview: This practical course covers essential data structures and algorithms that interviewers commonly test. You will study arrays, strings, linked lists, stacks, queues, trees, graphs, hashing, sorting, searching and basic dynamic programming. The emphasis is on patterns and techniques used in interviews: two-pointer, sliding window, tree traversals, graph traversals, shortest paths and DP approaches. Lessons combine brief theory, example problems, and hands-on practice. A dedicated practice test series of five tests reinforces learning with MCQs and MSQs; each answer includes explanations so you understand both the solution and the reasoning.
- Syllabus Highlights
- Arrays & Strings: Two-pointer, sliding window, common problems.
- Linked Lists & Stacks: Reversal, cycle detection, stack-based evaluation.
- Queues & Trees: Traversals, BST basics, LCA and depth calculations.
- Graphs & Hashing: Representations, BFS/DFS, shortest path algorithms.
- Sorting, Searching & DP: Quicksort/mergesort, binary search, DP fundamentals.
- Practice Tests: Five tests with MCQs/MSQs and full explanations.
How to Enroll, Study Tips & FAQ
- How to Enroll / Claim Free Access
- Visit the course page and review the syllabus and test series details.
- Sign in or create an account on the platform hosting the course.
- Check the price at checkout, free status can change.
- If available, apply any valid coupon before payment and complete enrollment.
Free status can change anytime. Please verify the price on the enrollment/checkout page.
- Tips to Complete Faster
- Set a daily study goal: 60–90 minutes focused on one topic or problem set.
- Start with core structures (arrays, lists) then move to trees/graphs and DP.
- Use the five practice tests after each major module to track progress.
- Do timed mock sessions once a week to simulate interview pressure.
- FAQ
- Is it really free? The course may offer free access sometimes. Check the checkout page before enrolling because free status can change.
- Will I get a certificate? Not specified.
- How long will it stay free? It can change; always confirm the current price at checkout.
- How difficult are the questions? The course includes a range from basic to interview-level problems with explanations to build skill progressively.
Conclusion
This course gives focused practice on the most commonly tested data structures and algorithms, pairing concept reviews with real interview-style problems and five practice tests. You’ll gain specific skills: implement core structures, apply common patterns, analyze complexity, and solve DP and graph problems. Before enrolling, check the checkout page to confirm current pricing and free status. Join our WhatsApp group for free course alerts
