Covers Arrays , Link List, Stack, Queue, Algorithms, Hashing and Sorting
Data structure is a crucial part of any programming language and software development process. In the Data Structure Training in Chandigarh provided by Netmax Technologies, participants get to learn and understand various data structures and master algorithm designing skills.
The data structure course covers arrays, linked lists, stacks, queues, trees, and graphs. Sorting and searching algorithms are also covered, followed with exercises and coding sessions. The course duration is six weeks, after which each student is expected to be familiar with most of the data structure used in networking, database systems, and operations systems.
NetMax is providing expert training from last 23 years. The training is delivered by professional engineers who are experienced and certified
We constantly keep updating our curriculum to provide best possible course & include latest topics
Labs are well equipped with laptops, computers and Air conditioner.
We help students to prepare for the certification exam with mock tests and lab simulation for the better understanding of exam format.
NetMax covers 100% practicals with Live projects making best place to learn and enhance your career
At the completion of the course, students are prepared for jobs, and mock interviews are conducted.
Our Student's Reviews
ExcellentBased on 698 reviewsNikita Gupta2024-03-29I have done data science course from here, and I have learned about technologies like pyhton,Ml,Dl and about database, the way of teaching and doubt clearing is very good and they teach you how to make projects by using these technologies.Kshitij2024-03-26Amazing experience learning python here. The staff and faculty are really helpful.Sukh Banwait2024-03-21Best training institute for data science highly recommended,also lot of mnc companies come there for hiring python candidates .Lovica Narang2024-03-12My experience of learning here was goodRitik Ramesh2024-03-11I had enrolled myself in NetMax Institute in Feb, 2023. NetaMax helped to learn and improve my analytical skills as well in Research. Now I am in internship in Alied Analytics, Pune. Great to have amazing guidance and teachers! Friendly Behavior!!Akshat Sharma2024-03-09One of the best institute in Chandigarh, for any kind of web development courseMuskan Verma2024-02-28Learning at netmax institute was very much satisfied ,every student get good placement at well reputed companies.Netmax institute provides us internship for better future and experience. Here faculties who are very educated and knowledgeable and experienced. They are very helpful and understandable well communication.Karan Bhardwaj2024-02-13I have done Web Development in Python and Djnago framework.. faculties are helpful and trustworthy..best training institute in chandigarhAditi Sharma2024-02-09Excellent teaching and coordinating faculty
Data structures are methods of organizing and storing data in a computer so that it can be accessed and used efficiently. They are essential because they determine how effectively data can be stored, retrieved, and manipulated, thereby impacting the performance of algorithms and overall system efficiency.
Common types of data structures include arrays, linked lists, stacks, queues, trees, graphs, hash tables, and heaps.
Arrays offer constant-time access to elements by index, making them efficient for random access operations. They also provide compact storage and support operations like iteration and slicing.
the future of data structures is closely tied to advancements in technology, changing data processing requirements, and emerging application domains. By staying abreast of these trends and continuously innovating, data structure researchers and practitioners can ensure that data structures remain relevant and effective in addressing the evolving needs of the digital age.
Linear data structures organize elements in a sequential manner where each element has a unique predecessor and successor, like arrays, linked lists, stacks, and queues. Non-linear data structures, such as trees and graphs, allow elements to have multiple predecessors and successors, forming hierarchical or interconnected relationships.