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4.7/5
Data Structures & Algorithms
00:05:00
Course Preview
Free DSA Online Course with Certification | Learn in 21 Days
83 Videos
Self-paced Course
18 Notes
Quick Notes
54 Labs
Hands-on Labs
Price: 100% Free
⭐4.8/5
Free Data Structures & Algorithms Course Overview
Ready to improve your coding skills? Our Free Data Structures & Algorithms Certification Course is useful for anyone wanting to learn the fundamentals of DSA. Whether you're a beginner or looking to improve your skills, we'll take you through fundamental concepts like arrays, linked lists, stacks, queues, and more complex topics like trees and graphs.
You'll also learn about important sorting, searching, and dynamic programming methods, as well as how to use Big-O Notation to optimize your code. By the end, you'll be confident in tackling problems efficiently and prepared for coding interviews or competitions.
In addition, you will receive a Certification to show your DSA skills & stand out in the tech industry. Ready to start? This course is aimed at advancing your coding skills!
Why Learn Data Structures & Algorithms?
- Improve Problem Solving: Create logical and efficient solutions to challenging problems.
- Expert Interviews: Essential for passing technical interviews at top organizations.
- Simplify Code: Develop applications that are faster, more efficient, and scalable.
- Boost Competitive Programming: Gain an advantage in coding competitions and hackathons.
- Advance Your Career: DSA expertise is a highly appreciated ability in technical professions.
- Build Foundations: Get ready for complex topics like AI, Machine Learning, and Big Data.
Top Career Options After Learning DSA
- Software Developer: Build efficient and scalable software.
- Data Analyst: Analyze and process large datasets.
- Backend Developer: Create robust server-side applications.
- AI/ML Engineer: Develop intelligent models and systems.
- Systems Architect: Design scalable and efficient systems.
- Database Engineer: Optimize and manage complex databases.
Tools for Learning Data Structures & Algorithms
- Code Editors: Visual Studio Code, and Sublime Text for writing and testing code.
- Online Platforms: Scholarhat, LeetCode, HackerRank, and Codeforces for practice.
- IDEs: Eclipse, PyCharm, IntelliJ IDEA for language-specific development.
- Visualization Tools: VisuAlgo for visualizing data structures and algorithms.
- Version Control: Git and GitHub for code management.
- Debugging Tools: Built-in debuggers or GDB for code testing.
Features
Course Features: Free Data Structures & Algorithms Certification Course
- Comprehensive Curriculum: This includes fundamental and advanced data structures and techniques, such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and dynamic programming.
- Big-O Analysis: Learn how to analyze algorithms' time and space complexity, allowing you to optimize your solutions for efficiency.
- Interactive Learning: Participate in video tutorials, & coding challenges meant to improve your learning and keep you motivated.
- Real-World Applications: Use your knowledge to address practical challenges that commonly arise in technical interviews & competitive programming.
- Free Certification: Receive a certificate upon successful completion to showcase your skills and enhance your resume.
- Self-paced Learning: Study quickly with lifetime access to course materials, allowing you to learn whenever and wherever you want.
Eligibility Criteria for Learning Data Structures & Algorithms
There are no strict eligibility requirements for the Free Data Structures & Algorithms Certification Course. Basic programming knowledge in languages like Python, Java, or C++ is helpful, but not mandatory. The course is suitable for all levels—whether you're a beginner or have some coding experience. All you need is a willingness to learn and a passion for improving your problem-solving skills in algorithms and data structures.
Included in this Course
- Video Course 83 Videos
- Quick Notes 18 Notes
- Labs 54 labs
DSA and Big O
Data Structure Introduction
Preview 04m 32s Non-Linear Data Structure
09m 25s Asymptotic analysis
14m 31s Asymptotic Explanation
20m 23s Array
Array Introduction
09m 58s Array Traversal
10m 46s Array insert data
06m 21s Array Bound Checking
16m 52s Array Insertion
12m 35s Deletion in Array
07m 38s 2D array
13m 47s Array List Integer
20m 47s Array Questions
Array List String
18m 17s Storing Heterogeneous Element in array
13m 20s Array Question1
41m 40s Array Question2
18m 48s Sum Leet code
19m 24s buy and sell Stock leetcode
10m 34s Product of Array Except Self
16m 56s Container With Most Water
19m 45s Spiral Matrix
30m 10s Sudoku valid
29m 36s String
String
Preview 01m 00s String literals
09m 15s Immutable String
05m 33s String Methods
21m 33s StringBuilder vs String Buffer
04m 42s String Builder and Buffer example
11m 29s Valid Palindrome
08m 05s Valid Anagram
15m 23s Longest Substring Without Repeating Characters
17m 22s Find All Anagrams in a String
31m 07s Largest Number
19m 26s Largest Number 1
09m 06s Linear Search
Linear search1
Preview 01m 42s Linear Search Implementation
08m 04s Linear Search Questions
25m 56s Binary Search
Binary Search
01m 34s Binary Search implementation
12m 19s First and Last Occurence
23m 33s Arrays Searching
Search in Rotated Sorted array
19m 31s Search in rotated Sorted Array
10m 39s Find Minimum in Rotated Sorted Array
04m 59s Bubble, Selection and Insertion Sort
Bubble Sort
01m 28s Bubble Sort Implementation
07m 33s Selection Sort
02m 05s Selection Sort Implementation
07m 15s Insertion Sort
01m 06s Insertion Sort implementation
10m 18s Merge, Quick and Counting Sort
Merge Sort
09m 58s Merge Sort Implementation
20m 22s Quick Sort
08m 51s Quick Sort Implementation
08m 51s Counting Sort
02m 46s Counting Sort Implementation
17m 57s Bucket, Find Kth Element and Find Pages
Bucket Sot
01m 03s Bucket Sort Implementation
15m 47s FindKthElement
19m 26s Kth largest element
22m 27s Find Pages
09m 33s Find Pages PART 2
20m 01s Theif problem
13m 19s Minimum swaps
15m 06s Stack
Stack
03m 38s Stack Implementation by library
14m 58s Stack Implementation using Array
23m 16s Stack Implementation using LinkedList
22m 09s Valid Parentheses
16m 36s Simplify Path 1
12m 27s Simplify path 2
09m 27s Evaluate Reverse Polish Notation
25m 12s Trapping Rainwater
24m 04s Longest valid Parentheses
24m 13s Basic Calculator
26m 05s Queue
Introduction to Queue
Preview 04m 49s Queue Implementation
13m 16s Queue Implementation user defined function
28m 12s Implement Stack using Queues
25m 32s Implement Queue using Stack
21m 23s First Unique Character in a String
26m 01s First Unique Character in a String
26m 01s Reveal Cards in Increasing Order
19m 32s Find the Winner of the Circular Game
17m 23s Quick Notes Notes (18)
Big O in Data Structure
00:06:00
Array in Data Structures
00:07:00
String in Data Structure
00:02:00
Linear Search in Data Structure
00:02:00
Binary Search in Data Structure
00:02:00
Bubble Sort in Data Structure
00:03:00
Selection Sort in Data Structure
00:02:00
Insertion Sort in Data Structure
00:03:00
Merge Sort in Data Structure
00:03:00
Quick Sort in Data Structure
00:02:00
Counting Sort in Data Structure
00:03:00
Bucket Sort in Data Structure
00:03:00
Heap Sort in Data Structure
00:04:00
Shell Sort in Data Structure
00:03:00
Radix Sort in Data Structure
00:02:00
Stack in Data Structure
00:04:00
Queue in Data Structure
00:04:00
Hands-On Labs Labs(54)
Java: Count the frequency of an element in an Array
00:20:00
Java: Ceiling in a Sorted Array
00:25:00
Java: Two Sum
00:30:00
Java: Reverse a Stack using Recursion
00:25:00
Java: Find next right node of a given key
00:30:00
Java: Big-O-Binary Search Algorithm
00:15:00
Java: Traversing directory in Java using BFS
00:20:00
Java: Delete consecutive same words in a sequence
00:25:00
Java: Merge Sorted Arrays
00:25:00
Java: Count 1’s in a Sorted Binary Array
00:20:00
Java: Find all triplets with zero sum
00:20:00
Java: Leaders in an array
00:20:00
Java: Find a Fixed Point (Value equal to Index) in given Array
00:25:00
Java: Search Insert Position
00:25:00
Java: Sort a Stack using another stack
00:30:00
Java: Minimum time required to rot all oranges
00:40:00
Java: Next Greater Element
00:30:00
Java: First Bad Version
00:30:00
Java: Search an Element in a Sorted and Rotated Array
00:30:00
Java: Meeting Rooms
00:25:00
Java: Merge Two Sorted Arrays
00:20:00
Java: Two Elements whose Sum is Closest to Zero
00:30:00
Java: Find Peak Element
00:30:00
Java: Trapping rain water
00:30:00
Java: Largest rectangle in histogram
00:25:00
Java: Search in Rotated Sorted Array
00:25:00
Java: Search in an Almost Sorted Array
00:25:00
Java: Minimum Number of Jumps to Reach End in Array
00:25:00
Java: Move all Zeros to the beginning of an array
00:25:00
Java: Median of Two Sorted Arrays of Different Sizes
00:30:00
Java: 3 Sum
00:25:00
Java: Search a 2D Matrix
00:20:00
Java: A Pair with a Given Sum in the Rotated Sorted Array
00:25:00
Java: Remove Duplicates from an Array
00:20:00
Java: Rotate a Matrix by 90 degrees
00:25:00
Java: Sort Elements by Frequency
00:30:00
Java: Find Minimum in Rotated Sorted Array
00:25:00
Java: Find Minimum in Rotated Sorted Array II
00:35:00
Java: Sort a Linked List of 0s, 1s and 2s
00:35:00
Java: Rotate an Array to the left
00:20:00
Java: Camel Case of a given Sentence
00:20:00
Java: Find Missing Elements of a Range
00:25:00
Java: Sort a Nearly Sorted (or K sorted) Array
00:20:00
Java: Count ways to increase LCS length of two Strings by one
00:25:00
Java: Minimum rotations required to get the same string
00:15:00
Java: Chocolate Distribution Problem
00:30:00
Java: Minimum Swaps required to convert binary tree to binary search tree
00:30:00
Java: Multiply Large Numbers represented as Strings
00:25:00
Java: Find Itinerary from a given list of tickets
00:25:00
Java: Count Distinct Occurrences as a Subsequence
00:30:00
Java: Sort a Matrix in all way Increasing Order
00:20:00
Java: Find the length of the largest subarray with 0 Sum
00:25:00
Java: Longest Increasing Consecutive Subsequence
00:25:00
Java: Find Whether an Array is a Subset of Another Array
00:20:00
This course includes
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Certification FAQs
- Are there any hidden charges for the certification?
No, the course and certification are completely free. There are no hidden charges. - How can I get the free certification?
To get the free certification, you need to enroll in the course, complete all the required modules, and pass the final assessment or quiz - Can I earn multiple free certifications?
Yes, you can enroll in multiple courses and earn free certifications for each course you successfully complete. - Will the certification mention that the course was free?
No, the certification will only highlight your achievement and not mention whether the course was free or paid.
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Frequently Asked Questions
Q1. What is the Free DSA Online Course offered by ScholarHat?
Our comprehensive course covers fundamental and advanced data structures and algorithms (DSA), including arrays, linked lists, stacks, queues, trees, graphs, and dynamic programming. Designed for beginners, it provides a solid foundation in DSA principles.
Q2. Will I receive a certificate upon completion?
Absolutely! Upon completing all modules and passing the final assessment, you'll receive a certificate of completion from ScholarHat to showcase your skills.
Q3. How long will it take to complete the course?
The course is structured to be completed in 21 days, with approximately 1–2 hours of study per day. However, it's self-paced, allowing you to learn at your own convenience.
Q4. What programming languages are used in the course?
The course primarily uses C and C++ for demonstrating DSA concepts. However, the principles taught are applicable across various programming languages.
Q5. How will this course benefit my career?
Mastering DSA is crucial for technical interviews and problem-solving in software development roles. This course equips you with the necessary skills to excel in coding interviews and enhance your programming proficiency.
Q1. Are these coding courses really 100% free?
Yes! All our listed courses are completely free. You can access all learning materials, videos, and resources without paying a single rupee.
Q2. Who can join these free programming courses?
Anyone! Whether you're a beginner with no coding experience or someone looking to upskill, our courses are designed for all levels.
Q3. Are these courses beginner-friendly?
Absolutely. Every course includes step-by-step guidance, real-life examples, and practice projects to help you learn effectively from scratch.
Q4. Are the free courses self-paced?
Yes, all our courses are fully self-paced. You can learn anytime, anywhere, and from any device that suits you.
Q5. Will these courses help me get a job?
Our focus is on job-ready skills. The courses are built to teach industry-relevant knowledge that employers value, including hands-on coding and real-world projects.
Q6. Can I get career advice or help with interviews?
Yes! Along with courses, we offer career resources like interview prep eBooks, resume tips, and mock interview support.
Q7. Will learning from free courses be enough to get a developer job?
While free courses provide strong fundamentals, combining them with real-world projects, internships, and advanced practice can significantly boost your chances of landing a job.
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100 % OFF₹ 1,534 Free
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