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Data Structures and Algorithms Online Training

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  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 1 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent
  • You will not only gain knowledge of Data Structures and Algorithms and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills
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  • Data Structures and Algorithms professional Certification Guidance Support with Exam Dumps
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  • Resume & Interviews Preparation Support
  • Concepts: Stack, Queue, Arrays,Lists,Binary trees,Heaps,Primitive types, VList,subset,variant.
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About Data Structures and Algorithms Online Training Course

ACTE Online courses are an exact replica of our Classroom programs. Once a student completes their course, we provide them access to the Online course as well to make sure they can revise at their will. Each Online course comes with Mentor support Hands on coding assignments, exclusive access to our online IDE, Hackerblocks & Doubt resolution.


Data structure and algorithms help in understanding the nature of the problem at a deeper level and thereby a better understanding of the world. Using combination of data structure and algorithms, we can improve performance of program drastically. Are necessary for design of efficient algorithms. allows safe storage of information on a computer.

Top Job Offered Data Structures and Algorithms Modules Online Topic Covered
  • Abstract data types

    Basic data Structures


  • Binary trees&applications



  • Algorithm Efficiency

    Algorithm design strategies

    Algorithm and problem classification

With the increase in the demand for quality software engineers, companies are paying really high to hire people with Data Structures and Algorithms knowledge. Some of the reports say that the average base salary of a Software Developer in India is somewhere around 11 Lakhs and it goes up till 20-30 Lakhs per annum.

Data Structures and Algorithms are the identity of a good Software Developer. The interviews for technical roles in some of the tech giants like Google, Facebook, Amazon, Flipkart is more focused on measuring the knowledge of Data Structures and Algorithms of the candidates. The main reason behind this is Data Structures and Algorithms improves the problem-solving ability of a candidate to a great extent.

Data Structures and Algorithms are the fundamentals of Software Development. They remain the same no matter what new technology is used and that puts the focus on the problem rather than the technology in the interview process.

We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings in Data Structures and Algorithms . Moreover, we have a very active placement cell that provides 100% placement assistance to our students.This course covers Data Structures and Algorithms along with other subjects in order to completely prepare you for placements in product-based companies.The cell also contributes by training students in mock interviews and discussions even after the course completion.

Yes, it is a bright field; there are bright prospects and various avenues .DSA is the core of Computer Science and it is inevitably being used in almost all domain of the industry.Knowledge of Data Structure & Algos gives you strength to come up with more precise coding techniques whereas having knowledge of different technologies give you scope to try out in different firms .If you are a fresher and want to get 15lpa+ companies (like really good companies) you need to have Data structures and algorithms knowledge

Algorithms and Data Structures are tightly wound together.An algorithm is a set of steps used for accomplishing a task, while a data structure is something used to store data, the manipulation of said data is done with algorithms. Algorithm depends on data structures, if you change either of them, complexity will change considerably. They are not same, but are definitely two sides of the same coin. Selecting a good Data Structure is itself a path towards better algorithm.

It is based upon a Student.This could take 2-3 months depending on various things. Finally, algorithms and data-structures are really the heart of computer science and is still an ongoing area of extensive research. So, really there's enough to keep you occupied for your entire career if you wish to delve deep into its research areas.

Our module considers various data structures such as lists, stacks, queues, trees and graphs and the abstract data types on which they are based. The module also discusses algorithms. It defines a scheme for quantifying algorithm efficiency, devoid of any computing system or language. Several approaches for algorithm design are studied such as recursion, divide and conquer, brute force and greedy strategies. Towards the end of the module the classification of algorithms and the problems they solve is explored. This course covers Data Structures and Algorithms along with other subjects in order to completely prepare you for placements in product-based companies.

Yes, You know computers deal with data and we as Engineers do the same. Data is bread and butter of our life. We cannot neglect it. Engineers with good understanding of DSA are good at managing, sorting and storing data. They know efficient techniques needed to do any operation on data. They know which pattern to follow when making data driven applications.

Software Developers handle the development process for the software. The pay-scale of Software Developers has increased a lot in recent times globally.There are many product-based companies that recruit during this time like Adobe, Amazon, Microsoft, Google, etc.The knowledge of these subjects will surely give you an opportunity to get a wonderful job.

Top reasons to consider a career in Data Structures and Algorithms ?

Top Reason You Can Still learn Data Structures and Algorithms Programming Languages

  • Data Structures and Algorithms demonstrate the problem-solving ability of a candidate. There is no room to craft elaborate stories and this means that either the candidate can solve the problem
  • Questions based on Data Structures and Algorithms can be scaled up or down according to the knowledge level of the candidate. This means that a variety of candidates can be tested using roughly the same problems.
  • Data Structures and Algorithms are used to test the analytical skills of the candidates as they are a useful tool to pick out the underlying algorithms in real-world problems and solve them efficiently
  • Better Understanding of ‘new’ frameworks
  • Programming Paradigms & Architectural Decisions.
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Key Features

ACTE offers Data Structures and Algorithms Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Data Structures and Algorithms Online Training Course
Module 1: Introduction
  • 1. Analysis of Algorithm
  • 2. Background analysis through a Program and its functions.
  • 3. Order of Growth 
  • 4. A mathematical explanation of the growth analysis through limits and functions.
  • 5. A direct way of calculating the order of growth
  • 6. Asymptotic Notations
  • 7. Best, Average and Worst case explanation through a program.
  • 8. Big O Notation
  • 9. Graphical and mathematical explanation.
  • 10. Calculation
  • 11. Applications at Linear Search
  • 12. Omega Notation
  • 13. Graphical and mathematical explanation.
  • 14. Calculation.
  • 15. Theta Notation
  • 16. Graphical and mathematical explanation.
  • 17. Calculation.
  • 18. Analysis of common loops
  • 19. Single, multiple and nested loops
  • 20. Analysis of Recursion
  • 21. Various calculations through Recursion Tree method
  • 22. Space Complexity 
  • 23. Basic Programs
  • 24. Auxiliary Space
  • 25. Space Analysis of Recursion
  • 26. Space Analysis of Fibonacci number
Module 2: Mathematics
  • 1. Finding the number of digits in a number.
  • 2. Arithmetic and Geometric Progressions.
  • 3. Quadratic Equations.
  • 4. Mean and Median.
  • 5. Prime Numbers.
  • 6. LCM and HCF
  • 7. Factorials
  • 8. Permutations and Combinations
  • 9. Modular Arithmetic
  • 10. Practice Problems
Module 3: Bitmagic
  • 1. Bitwise Operators in C++
  • 2. Operation of AND, OR, XOR operators
  • 3. Operation of Left Shift, Right Shift and Bitwise Not
  • 4. Bitwise Operators in Java
  • 5. Operation of AND, OR
  • 6. Operation of Bitwise Not, Left Shift
  • 7. Operation of Right Shift and unsigned Right Shift
  • 8. Problem(With Video Solutions): Check Kth bit is set or not
  • 9. Using the left Shift.
  • 10. Using the right shift
  • 11. Problem(With Video Solutions): Count Set Bits
  • 12. Simple method
  • 13. Brian and Kerningham Algorithm
  • 14. Using Lookup Table
  • 15. Problems(With Video Solutions):
  • 16. To check whether a number is a power of 2 or not
  • 17. Odd occurrences in an array.
  • 18. Two numbers having odd occurrences in an array.
  • 19. Generate power set using bitwise operators.
  • 20. Practice Problems
Module 4: Recursion
  • 1. Writing base cases in Recursion
  • 2. Factorial
  • 3. N-th Fibonacci number
  • 4. Various problems on Recursion(With Video Solutions)
  • 5. Print n to 1
  • 6. Tail Recursion
  • 7. Checking Palindrome
  • 8. Sum of digits
  • 9. Rod cutting
  • 10. Subsets of a set
  • 11. Tower of Hanoi Problem
  • 12. Josephus Problem
Module 5: Arrays
  • 1. Introduction and Advantages
  • 2. Types of Arrays
  • 3. Fixed-sized array
  • 4. Dynamic-sized array
  • 5. Operations on Arrays
  • 6. Searching
  • 7. Insertions
  • 8. Deletion
  • 9. Arrays vs other DS
  • 10. Reversing - Explanation with complexity
  • 11. Left Rotation of the array by 1
  • 12. Left Rotation of the array by D places
  • 13. Leaders in an Array
  • 14. Maximum Difference Problem
  • 15. Stock Buy and Sell Problem
  • 16. Trapping Rainwater Problem
  • 17. Maximum subarray sum
  • 18. Longest even-odd subarray
  • 19. Maximum Circular sum subarray.
  • 20. Majority Element
  • 21. Minimum Consecutive Flips
  • 22. Sliding Window Technique
  • 23. Prefix sum technique
  • 24. Practice Problems
Module 6: Searching
  • 1. Binary Search and various associated problems(With Video Solutions)
  • 2. Leftmost index of an element in an array
  • 3. Count of occurrences of x in sorted element
  • 4. Count of 1s in a binary sorted array
  • 5. Find an element in sorted and rotated array
  • 6. Peak element
  • 7. Find an element in an infinite sized sorted array
  • 8. The square root of an integer
  • 9. Two Pointer Approach Problems(With Video Solutions)
  • 10. Find pair in an unsorted array which gives sum X
  • 11. Find pair in a sorted array which gives sum X
  • 12. Find triplet in an array which gives sum X
  • 13. Problems(With Video Solutions)
  • 14. Median of two sorted arrays
  • 15. Majority Element 
Module 7: Sorting
  • 1. Implementation of C++ STL sort() function in Arrays and Vector
  • 2. Time Complexities
  • 3. Sorting in Java
  • 4. Arrays.sort() in Java
  • 5. Collection.sort() in Java
  • 6. Stability in Sorting Algorithms
  • 7. Examples of Stable and Unstable Algos
  • 8. Insertion Sort
  • 9. Merge Sort
  • 10. Problems(With Video Solutions)
  • 11. Intersection of 2 sorted arrays
  • 12. Union of 2 sorted arrays
  • 13. Count Inversions in arrays
  • 14. Partitions(With Video Solutions)
  • 15. Naive
  • 16. Lomuto
  • 17. Hoare
  • 18. Quick Sort
  • 19. Using Lomuto and Hoare
  • 20. Time and Space analysis
  • 21. Choice of Pivot and Worst case
  • 22. Tail call elimination
  • 23. Problems(With Video Solutions)
  • 24. Kth Smallest element
  • 25. Chocolate Distribution Problem
  • 26. Sorting arrays with 2 and3 types of elements
  • 27. Merge Overlapping Intervals
  • 28. Meeting the Maximum Guests
  • 29. Cycle Sort
  • 30. Counting Sort
  • 31. Radix Sort
Module 8: Matrix
  • 1. Introduction to Matrix in C++ and Java
  • 2. Printing matrix in a snake pattern
  • 3. Transposing a matrix
  • 4. Rotating a Matrix
  • 5. Check if the element is present in a row and column-wise sorted matrix.
  • 6. Boundary Traversal
  • 7. Spiral Traversal
  • 8. Matrix Multiplication
Module 9: Hashing
  • 1. Introduction and Time complexity analysis
  • 2. Application of Hashing
  • 3. Discussion on Direct Address Table
  • 4. Working and examples on various Hash Functions
  • 5. Introduction and Various techniques on Collision Handling
  • 6. Chaining and its implementation
  • 7. Open Addressing and its Implementation
  • 8. Chaining V/S Open Addressing
  • 9. Double Hashing
  • 10. C++
  • 11. Unordered Set
  • 12. Unordered Map
  • 13. Java
  • 14. HashSet
  • 15. HashMap
  • 16. Problems(With Video Solutions):
  • 17. Count Distinct Elements
  • 18. Count of the frequency of array elements
  • 19. The intersection of two arrays
  • 20. Union of two unsorted arrays
  • 21. Pair with given sum in an unsorted array
  • 22. Subarray with zero-sum
  • 23. Subarray with given sum
  • 24. Longest subarray with a given sum
  • 25. Longest subarray with an equal number of 0’s and 1’s
  • 26. Longest common span with the same sum in a binary array
  • 27. Longest Consecutive Subsequence
  • 28. Count Distinct elements in every window
Module 10: String
  • 1. Discussion of String DS
  • 2. Problems(With Video Solutions)
  • 3. Given a string, check if they are an anagram of each other.
  • 4. Given a string, find the leftmost character that repeats.
  • 5. Given a string, find the leftmost character that does not repeat.
  • 6. Given a string, find the lexicographic rank of it in O(n) time.
  • 7. Implementation of the previously discussed lexicographic rank problem.
  • 8. Given a text string and a pattern string, find if a permutation of the pattern exists in the text.
  • 9. Given two strings, check if they are rotations of each other or not.
  • 10. Various Pattern Searching Algorithms.
  • 11. Rabin Karp Algorithm
  • 12. KMP Algorithm
Module 11: Linked List
  • 1. Introduction
  • 2. Implementation in CPP
  • 3. Implementation in Java
  • 4. Comparison with Array DS
  • 5. Doubly Linked List
  • 6. Circular Linked List
  • 7. Loop Problems
  • 8. Detecting Loops
  • 9. Detecting loops using Floyd cycle detection
  • 10. Detecting and Removing Loops in Linked List
  • 11 .Problems(With Video Solutions):
  • 12. Middle of Linked List
  • 13. Nth node from the end of linked list
  • 14. Deleting a Node without accessing Head pointer of Linked List
  • 15. An iterative method to Reverse a linked list
  • 16. Recursive method to reverse a linked list
  • 17. Segregating even-odd nodes of linked list
  • 18. The intersection of two linked list
  • 19. Pairwise swap nodes of linked list
  • 20. Clone a linked list using a random pointer
  • 21. LRU Cache Design
Module 12: Arrays
  • 1. Understanding the Stack data structure 
  • 2. Applications of Stack
  • 3. Implementation of Stack in Array and Linked List
  • 4. In C++
  • 5. In Java 
  • 6. Problems(With Video Solutions):
  • 7. Balanced Parenthesis
  • 8. Two stacks in an array
  • 9. K Stacks in an array
  • 10. Stock span problem with variations
  • 11. Previous Greater Element
  • 12. Next Greater Element
  • 13. Largest Rectangular Area in a Histogram
  • 14. Understanding getMin() in Stack with O(1)
Module 13: Queue
  • 1. Introduction and Application
  • 2. Implementation of the queue using array and LinkedList
  • 3. In C++ STL
  • 4. In Java
  • 5. Stack using queue
  • 6. Problems(With Video Solutions)
  • 7. Reversing a Queue
  • 8. Generate numbers with given digits
  • 9. Maximums of all subarrays of size k
Module 14: Tree
  • 1. Introduction
  • 2. Tree
  • 3. Application
  • 4. Binary Tree
  • 5. Tree Traversal
  • 6. Implementation of:
  • 7. Inorder Traversal
  • 8. Preorder Traversal
  • 9. Postorder Traversal
  • 10. Level Order Traversal (Line by Line)
  • 11. Tree Traversal in Spiral Form 
  • 12. Problems(With Video Solutions):
  • 13. Size of Binary Tree
  • 14. Maximum in Binary Tree
  • 15. Height of Binary Tree
  • 16. Print Nodes at K distance
  • 17. Print Left View of Binary Tree
  • 18. Children Sum Property
  • 19. Check for Balanced Binary Tree
  • 20. Maximum Width of Binary Tree
  • 21. Convert Binary Tree to Doubly Linked List
  • 22. Construct Binary Tree from Inorder and Preorder
  • 23. The diameter of a Binary Tree
  • 24. LCA problem with an efficient solution
Module 15: Binary Search Tree
  • 1. Background, Introduction and Application
  • 2. Implementation of Search in BST
  • 3. In CPP
  • 4. In Java
  • 5. Insertion in BST
  • 6. In CPP
  • 7. In Java
  • 8. Deletion in BST
  • 9. In CPP
  • 10. In Java
  • 11. Floor in BST
  • 12. In CPP
  • 13. In Java
  • 14. Self Balancing BST 
  • 15. AVL Tree 
  • 16. Red Black Tree 
  • 17. Set in C++ STL 
  • 18. Map in C++ STL 
  • 19. TreeSet in java 
  • 20. TreeMap in Java 
  • 21. Problems(With Video Solutions):
  • 22. The ceiling of a key in BST
  • 23. Ceiling on the left side in an array
  • 24. Find Kth Smallest in BST
  • 25. Check for BST
  • 26. Fix BST with Two Nodes Swapped
  • 27. Pair Sum with given BST
  • 28. Vertical Sum in a Binary Tree
  • 29. Vertical Traversal of Binary Tree
  • 30. Top View of Binary Tree
  • 31. Bottom View of Binary Tree
Module 16: Heap
  • 1. Introduction & Implementation
  • 2. Binary Heap
  • 3. Insertion
  • 4. Heapify and Extract
  • 5. Decrease Key, Delete and Build Heap
  • 6. Heap Sort 
  • 7. Priority Queue in C++ 
  • 8. PriorityQueue in Java
  • 9. Problems(With Video Solutions):
  • 10. Sort K-Sorted Array
  • 11. Buy Maximum Items with Given Sum
  • 12. K Largest Elements
  • 13. Merge K Sorted Arrays
  • 14. Median of a Stream
Module 17: Graph
  • 1. Introduction to Graph 
  • 2. Graph Representation 
  • 3. Adjacency Matrix
  • 4. Adjacency List in CPP and Java
  • 5. Adjacency Matrix VS List
  • 6. Breadth-First Search 
  • 7. Applications
  • 8. Depth First Search 
  • 9. Applications
  • 10. Problems(With Video Solutions):
  • 11. Shortest Path in an Unweighted Graph 
  • 12. Detecting Cycle
  • 13. In the Undirected Graph 
  • 14. In the Directed Graph
  • 15. Topological Sorting 
  • 16. Kahn's BFS Based Algorithm
  • 17. DFS Based Algorithm
  • 18. Shortest Path in Directed Acyclic Graph 

Module 18: Greedy

  • 1. Introduction
  • 2. Activity Selection Problem
  • 3. Fractional Knapsack 
  • 4. Job Sequencing Problem

 Module 19: Backtracking

  • 1. Concepts of Backtracking 
  • 2. Rat In a Maze 
  • 3. N Queen Problem 
  • 4. Sudoku Problem 
Module 20: Dynamic Programming
  • 1. Introduction 
  • 2. Dynamic Programming
  • 3. Memoization 
  • 4. Tabulation
  • 5. Problems(With Video Solutions):
  • 6. Longest Common Subsequence
  • 7. Coin Change Count Combinations 
  • 8. Edit Distance Problem
  • 9. Naive Approach
  • 10. DP Approach
  • 11. Longest Increasing Subsequence Problem
  • 12. Naive Approach
  • 13. Efficient Approach
  • 14. Maximum Cuts 
  • 15. Minimum coins to make a value 
  • 16. Minimum Jumps to reach at the end 
  • 17. 0-1 knapsack problem 
  • 18. Naive Approach
  • 19. Efficient Approach
  • 20. Optimal Strategy for a Game 
  • 21. Variation of Longest Common Subsequence 
  • 22. Variation of Longest Increasing Subsequence 
  • 23. Egg Dropping Problem 
Module 21: Graph Advance
  • 1. Prim's Algorithm/Minimum Spanning Tree
  • 2. Dijkstra's Shortest Path Algorithm
  • 3. Bellman-Ford Shortest Path Algorithm
  • 4. Kosaraju's Algorithm
  • 5. Articulation Point
  • 6. Bridges in Graph
  • 7. Tarjan’s Algorithm
Module 22: Trie
  • 1. Introduction
  • 2. Representation
  • 3. Search
  • 4. Insert
  • 5. Delete
  • 6. Count Distinct Rows in a Binary Matrix
Module 23: Segment Tree
  • 1. Introduction
  • 2. Construction
  • 3. Range Query 
  • 4. Update Query
Module 24: Disjoint Set
  • 1. Introduction
  • 2. Find and Union Operations
  • 3. Union by Rank
  • 4. Path Compression
  • 5. Kruskal's Algorithm
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Hands-on Real Time Data Structures and Algorithms Projects

Project 1
Phonebook Application project

This application will teach you how to add, list, modify or edit, search and delete data to/from the file.

Project 2
Banking Record System project

This banking record system project is a simple console application developed without the use of graphics component.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Data Structures and Algorithms training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Structures and Algorithms Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By C Programming Language Certified Associate (CLA) & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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About Experienced Data Structures and Algorithms Trainer

  • Our Data Structures and Algorithms Training . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Data Structures and Algorithms domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Structures and Algorithms training to the students.
  • We have received various prestigious awards for Data Structures and Algorithms Training from recognized IT organizations.

Data Structures and Algorithms Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



I joined ACTE tambaram branch in OMR for C/C++ course. The training here is very useful and helpful. Staff are very friendly. Placement opportunities are also very good. It is a good environment for people. I really recommend ACTE to everyone especially for those who need good start for IT career.


Software Engineer

I finish my Data Structures and Algorithms training in ACTE. It was good and the trainee Mr. sai tought me very well and this training is very help full tome. Thank you ACTE .I suggest to everyone for learning Data Structures and Algorithms is the best institute


Software Engineer

Acte institute in OMR is one of the best and it is more helpful for people who are suffering from jobs. They will help u a lots by teaching and make to learn us more things from this institute and also they will give u a good placements also.



ACTE is one of the best institute for C/C++ course in Hyderabad and the training which they provide is very good and they make it easy to learn.they will clear all your doubts as soon as possible.classes will be scheduled on time and trainers are very punctual.


Software Testing

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed C/C+_ course here and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible.

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Data Structures and Algorithms Course FAQs

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  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Structures and Algorithms training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Structures and Algorithms Course At ACTE?

  • Data Structures and Algorithms Course in ACTE is designed & conducted by Data Structures and Algorithms experts with 10+ years of experience in the Data Structures and Algorithms domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Structures and Algorithms batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Structures and Algorithms . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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