Learn Data Structures and Algorithms for Your Dream Job
Last Updated :
11 Jul, 2025
According to a study by employability assessment company Aspiring Minds in 2023, only 4.77 percent of candidates can write the correct logic for a program — a minimum requirement for any programming job. Another survey shows that only 7% of the engineering graduates in India are suitable for core engineering jobs. What could be the root cause of the lack of programming skills among engineering graduates? Some of the major reasons reported by the students are:
- Poor learning resources available in colleges?
- Lack of guidance?
- Or even, no idea where to begin from?
“Over every mountain, there is a path, although it may not be seen from the valley.” --Theodore Roethke
If you are a Pre-Final/Final year student, preparing for interviews with companies like Amazon, Microsoft, Flipkart, etc., and have the same reasons as listed above for lacking programming skills, then read this article from here carefully.
Trying to solve the above problems, GeeksforGeeks brings a different courses to improve your coding skills mainly, Data Structures and Algorithms.
Here are some of our top DSA courses that will help you to gain enough knowledge on DSA to crack any interview:
This DSA online course is specifically designed for beginners, whether it be students or working professionals, who want to learn the Data Structures and Algorithms concepts from basic to the advanced level. As it is a self-paced course, you can join it anytime with all of the content being available once you get enrolled and you can finish it at your own decided speed. Prepare for interviews in top-notch product or service-based companies like Microsoft, Amazon, Adobe, etc. with our DSA self paced course.
Key Highlights:
- Instructions provided in C++, Java, Javascript, and Python by CEO & Founder Mr. Sandeep Jain.
- 60+ hours of recorded content for high-quality instruction.
- 12 months of 24x7 Doubt Assistance for personalized support.
- Practice with 200+ industry-specific problems and 250+ MCQs.
- Real-time coding experience with 10 coding contests.
- In-depth learning with 5 DSA-implemented projects.
- Extensive coverage of topics: Sorting, Strings, Heaps, Searching, Trees, etc.
- Advanced topics coverage: Dynamic Programming, Segment Tree, etc
- Tailored preparation for SDE interviews with companies like Microsoft, Amazon, Adobe, etc.
This online self-paced course on Data Structures & Algorithms in Python is designed for both beginners who want to build a strong foundation in coding and experienced professionals seeking to deepen their understanding of DSA. Whether you're a student eager to master each concept or a professional looking to switch careers or enhance your skills, this course offers the flexibility to learn at your own pace. Led by experienced mentors from top tech companies, you'll gain hands-on experience through practical coding exercises.
The course covers everything you need to excel in the industry, from basic to advanced topics like linear and non-linear data structures, sorting and searching algorithms, graph algorithms, dynamic programming, and more. It's perfect for those who want to upskill and develop scalable, efficient solutions. With the freedom to learn at your convenience, this program is ideal for anyone looking to boost their knowledge in DSA without disrupting their busy schedule.
Key Highlights
- Comprehensive DSA Course in Python, covering basics to advanced topics.
- 45+ hours of premium content by CEO & Founder Mr. Sandeep Jain.
- Practice over 200+ exclusive problems with Python code support.
- Test your knowledge with 250+ MCQs and 10 coding contests.
- Access supporting notes/articles for quick revisions.
- Suitable for beginners & experienced coders
- No prior DSA knowledge is required.
- Master Sorting, Strings, Heaps, Dynamic Programming, and more.
- Prepare for SDE interviews with top companies like Microsoft, Amazon, etc.
- Enhance Python programming skills alongside DSA concepts.
This is a self-paced online course in data structures and algorithms using JavaScript for freshers who want to start coding and professional developers seeking a skill upgrade. Whether you're a student looking to gain the fundamentals of programming or are working professionally but interested in simply moving into specialized areas, this course is totally self-paced.
The course is taught by industry leaders from top tech companies and involves hands-on activities through interactive coding challenges and practical exercises. You will dive deep into the basics and the advanced topics: linear and nonlinear data structures, sorting and searching algorithms, graph algorithms, and dynamic programming. This course will leave you with a profound understanding of how to be proficient at solving complex problems and building efficient, scalable applications. This course will greatly improve your JavaScripts and enhance your professional career by fitting easily into your busy schedule, with the convenience of online and self-paced learning.
Key Highlights
- Instructed by CEO & Founder Mr. Sandeep Jain.
- 45+ hours of recorded content for high-quality instruction.
- Get 12 months of personalized 24x7 Doubt Assistance.
- Practice with 200+ exclusive industry-specific problems.
- Access video editorials and hints for DSA problems.
- 250+ MCQs, including output-based questions.
- Real-time coding experience with 10 coding contests.
- Comprehensive 8-week guided curriculum for easy learning.
- Utilize supporting notes for quick revisions.
- Extensive coverage of topics: Sorting, Strings, Heaps, Searching, Trees, etc.
- Advanced topics coverage: Dynamic Programming, Segment Tree, etc
- Suitable for beginners and experienced JavaScript developers.
This online self-paced course in Data Structures & Algorithms in C is for those eager to master important programming concepts. You could be a student just starting out or a professional looking to sharpen your functional skills; this course in C programming offers just the kind of learning method that fits your busy life.
This is a very challenging course, lectured by mature practitioners from major high-tech companies. You would learn about the most important data structures: arrays, linked lists, stacks, and queues, among others, in addition to the most important algorithms for sorting, search, and dynamic programming. Classes will focus on practical implementation to ensure that the learner is able to apply what he is learning in real-life problems in theory and practice.
This course is perfectly targeted at someone aiming to further their programming career or looking to deepen their understanding of C; it offers resources and experts in guidance, while giving study time according to one's personal pace. This self-driven course is perfect for those looking to become a better coder or preparing to change their careers into the programming world.
Key Highlights:
- A Beginner to Advanced C Programming course with Data Structures
- Developed by Founder and CEO Mr. Sandeep Jain.
- Includes 15+ hours of Basic C Concepts.
- And 20+ hours of Advanced C Concepts.
- Practice with 150+ coding problems and 200+ MCQs.
- Access curated notes for quick revisions.
- Participate in self-assessment contests.
- Get 24/7 doubt assistance
- Focus on data types, control structures, functions, and arrays.
- Learn pointers, structures, and file handling.
- Explore data structures like linked lists, stacks, queues, trees, etc
- Prepare for placements with coding problems.
This offline classroom program on Data Structure and Algorithms is for students who’re beginners, and want to pave their way through coding blocks and are wondering to learn each concept thoroughly with a regular doubt session. Experienced or working professionals can also join this course who are looking for a career switch or want to be experts in DSA. This course will be led by experienced mentors from top tech companies. You’ll also be given hands-on experience with classroom sessions.
It has all the required knowledge and skills that you need to excel in industries and build scalable, and efficient solutions. This program covers linear and non-linear data structures, sorting and searching algorithms, graph algorithms, dynamic programming, and much more with intensive. The program is designed for both students and working professionals seeking to upskill and enhance their knowledge in DSA, with classes held only on weekends to accommodate busy schedules.
Apart from this real classroom learning experience, you will also get COMPLIMENTARY access to the Data Structures and Algorithms – Self-Paced by Mr. Sandeep Jain, CEO and Founder at GeeksforGeeks.
Key Highlights
- 8-week offline course with in-person interaction with instructors and classmates
- 60+ hours of recorded content by CEO & Founder Mr. Sandeep Jain
- Strong Discord community full of like-minded people
- Multiple assignments and contests to track progress
- Quizzes in all modules
- 24×7 doubt support (In addition to the in-class support)
- 1:1 career guidance and tips on building an industry-oriented resume
- Offline project training under the guidance of the mentors
- Internship certificate after completion of the course
- Build networks and professional relationships
- Structured learning environment
Conclusion
Concluding, the potential to ace any tech industry dream job lies in the mastering of Data Structures and Algorithms. Be it as a software developer, data scientist, or engineer— DSA forms the basis of solving complex problems and acing technical interviews. Our selected set of online courses will guide you comprehensively through the pathway for building these critical skills, from foundational knowledge to advanced techniques for various tech stacks.
Besides the above-mentioned DSA courses, we have a large collection of programs on various technologies and domains. You can browse through the rest in our full catalog, wherein you will be provided with more career-relevant courses and interests in technology. We will arm you with skills that will give you success amidst the modern continuously changing tech environment: from Web Development to Machine Learning, Cloud Computing, and Cybersecurity. Start your journey today and take the next step toward achieving your professional goals with confidence.
Similar Reads
Basics & Prerequisites
Data Structures
Getting Started with Array Data StructureArray is a collection of items of the same variable type that are stored at contiguous memory locations. It is one of the most popular and simple data structures used in programming. Basic terminologies of ArrayArray Index: In an array, elements are identified by their indexes. Array index starts fr
14 min read
String in Data StructureA string is a sequence of characters. The following facts make string an interesting data structure.Small set of elements. Unlike normal array, strings typically have smaller set of items. For example, lowercase English alphabet has only 26 characters. ASCII has only 256 characters.Strings are immut
2 min read
Hashing in Data StructureHashing is a technique used in data structures that efficiently stores and retrieves data in a way that allows for quick access. Hashing involves mapping data to a specific index in a hash table (an array of items) using a hash function. It enables fast retrieval of information based on its key. The
2 min read
Linked List Data StructureA linked list is a fundamental data structure in computer science. It mainly allows efficient insertion and deletion operations compared to arrays. Like arrays, it is also used to implement other data structures like stack, queue and deque. Here’s the comparison of Linked List vs Arrays Linked List:
2 min read
Stack Data StructureA Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first
2 min read
Queue Data StructureA Queue Data Structure is a fundamental concept in computer science used for storing and managing data in a specific order. It follows the principle of "First in, First out" (FIFO), where the first element added to the queue is the first one to be removed. It is used as a buffer in computer systems
2 min read
Tree Data StructureTree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most
4 min read
Graph Data StructureGraph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of problems on different topics like DFS, BFS, Topological Sort, Shortest Path, etc., please refer to Graph Algorithms. Basics of
3 min read
Trie Data StructureThe Trie data structure is a tree-like structure used for storing a dynamic set of strings. It allows for efficient retrieval and storage of keys, making it highly effective in handling large datasets. Trie supports operations such as insertion, search, deletion of keys, and prefix searches. In this
15+ min read
Algorithms
Searching AlgorithmsSearching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array. When we search an item in an array, there are two most common algorithms used based on the type of input
2 min read
Sorting AlgorithmsA Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ
3 min read
Introduction to RecursionThe process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution
14 min read
Greedy AlgorithmsGreedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. At every step of the algorithm, we make a choice that looks the best at the moment. To make the choice, we sometimes sort the array so that we can always get
3 min read
Graph AlgorithmsGraph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly connected with each other other, we use Graph. Example situations where we use graph data structure are, a social net
3 min read
Dynamic Programming or DPDynamic Programming is an algorithmic technique with the following properties.It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The idea is to simply store the results of
3 min read
Bitwise AlgorithmsBitwise algorithms in Data Structures and Algorithms (DSA) involve manipulating individual bits of binary representations of numbers to perform operations efficiently. These algorithms utilize bitwise operators like AND, OR, XOR, NOT, Left Shift, and Right Shift.BasicsIntroduction to Bitwise Algorit
4 min read
Advanced
Segment TreeSegment Tree is a data structure that allows efficient querying and updating of intervals or segments of an array. It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array. The tree
3 min read
Pattern SearchingPattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data. Patten SearchingImportant Pattern Searching Algorithms:Naive String Matching : A Simple Algorithm that works i
2 min read
GeometryGeometry is a branch of mathematics that studies the properties, measurements, and relationships of points, lines, angles, surfaces, and solids. From basic lines and angles to complex structures, it helps us understand the world around us.Geometry for Students and BeginnersThis section covers key br
2 min read
Interview Preparation
Practice Problem