Data Structures Professional Certification Course

Course Name - Data Structures Professional Certification Course

This comprehensive Data Structures course will take you through the fundamentals of data structures.

Course Overview

The Data Structures Professional Certification Course is a well-structured course designed to provide a solid understanding of data structures, starting from foundational concepts to advanced techniques. It explores essential data structures like arrays, linked lists, stacks, queues, and trees, progressing to complex topics like graphs, heaps, dynamic programming, and advanced hashing. This course emphasizes real-world applications, algorithmic efficiency, and problem-solving skills, making it ideal for learners aiming to enhance their programming expertise and prepare for competitive coding or technical roles.

Course Type

Entry to Advanced Level

Course Objectives

– Understand the core principles and types of data structures.
– Develop proficiency in implementing and manipulating various data structures such as arrays, linked lists, trees, and graphs.
– Analyze algorithmic efficiency with time and space complexity.
– Master searching, sorting, dynamic programming, and graph algorithms for practical applications.
– Solve real-world problems using data structures in fields like databases, networking, and AI.

What You'll Learn?

– The fundamentals of data structures, their types, and real-world importance.
– Hands-on implementation of basic structures like arrays, stacks, and queues.
– Advanced topics such as heaps, graphs, dynamic programming, and tree variants.
– Searching and sorting algorithms with an emphasis on efficiency and optimization.
– Application of data structures in complex scenarios such as shortest path problems, database indexing, and AI search techniques.
– Best practices for data structure optimization, including space-time trade-offs.

Duration

120–150 hours, including theoretical instruction, hands-on coding, and problem-solving sessions.

Requirements

– A laptop or desktop with any programming IDE installed (Python, Java, C++, etc.).
– Internet access for accessing materials and tools.

Prerequisites

– Basic programming knowledge in any language (Python, Java, or C++ preferred).
– Familiarity with mathematical concepts such as sets and functions (helpful but not mandatory).

Target Audience

– Students and beginners looking to understand and implement data structures.
– Software developers aiming to strengthen problem-solving and algorithmic skills.
– Competitive programmers preparing for coding challenges and technical interviews.
– Professionals in fields like machine learning, AI, and data science looking to optimize algorithmic efficiency.
– Anyone interested in learning how data structures power modern applications like databases and web servers.

Batch Details

Batch Start Date

Batch Timing

Batch End Date

Batch Days

Curriculum

– What are Data Structures?
– Importance and Applications of Data Structures
– Types of Data Structures (Linear, Non-linear)

– Introduction to Arrays
– Single-Dimensional Arrays
– Multi-Dimensional Arrays
– Basic Operations (Insertion, Deletion, Traversal)

– Introduction to Linked Lists
– Singly Linked Lists
– Doubly Linked Lists
– Circular Linked Lists
– Basic Operations (Insertion, Deletion, Traversal)
– Advantages and Disadvantages of Linked Lists

– Introduction to Stack Data Structure
– Stack Operations (Push, Pop, Peek)
– Stack Implementation (Array and Linked List)
– Applications of Stacks (Expression Evaluation, Backtracking)

– Introduction to Queue Data Structure
– Queue Operations (Enqueue, Dequeue, Front, Rear)
– Types of Queues (Simple Queue, Circular Queue, Priority Queue, Deque)
– Queue Implementation (Array and Linked List)
– Applications of Queues (Scheduling, Buffering)

– What is Recursion?
– Recursive Algorithms
– Recursion vs Iteration
– Applications (Factorials, Fibonacci, Towers of Hanoi)

– Introduction to Trees
– Binary Trees, Binary Search Trees (BST)
– Tree Traversal (Inorder, Preorder, Postorder)
– AVL Trees (Balanced Trees)
– Tree Operations (Insertion, Deletion, Searching)

– Introduction to Heap Data Structure
– Max Heap and Min Heap
– Heap Operations (Insert, Delete, Extract Max/Min)
– Heap Applications (Priority Queue, Heap Sort)

– Introduction to Hashing
– Hash Functions and Hash Tables
– Collision Resolution Techniques (Chaining, Open Addressing)
– Applications of Hashing (Databases, Caching)

– Searching Algorithms (Linear Search, Binary Search)
– Sorting Algorithms (Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, Heap Sort)
– Time Complexity of Sorting Algorithms (Best, Worst, and Average Cases)

– Introduction to Graphs (Directed, Undirected)
– Graph Representation (Adjacency Matrix, Adjacency List)
– Graph Traversal Algorithms (Breadth-First Search (BFS), Depth-First Search (DFS))
– Graph Algorithms (Dijkstra’s Algorithm, Kruskal’s Algorithm, Prim’s Algorithm)
– Applications of Graphs (Social Networks, Shortest Path Problems)

– B-Trees, B+ Trees
– Red-Black Trees
– Splay Trees
– Trie (Prefix Trees)
– Applications (Databases, File Systems)

– Introduction to Dynamic Programming
– Memoization and Tabulation
– Classic Dynamic Programming Problems (Knapsack, Longest Common Subsequence, Matrix Chain Multiplication)

– Introduction to Greedy Algorithms
– Classic Greedy Problems (Huffman Coding, Fractional Knapsack, Job Sequencing)

– Perfect Hashing
– Double Hashing
– Cryptographic Hash Functions (SHA, MD5)

– Space and Time Complexity Analysis
– Amortized Analysis (Applications to Stack, Queue, Dynamic Arrays)
– Cache-Friendly Data Structures

 – Real-World Applications (Databases, Web Servers, Memory Management)
– Data Structures in Algorithms (Graph Algorithms, Network Routing, AI Search Techniques)

FAQ

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Tech Learniversity stands as a premier e-learning platform, offering live, interactive online training across a wide range of subjects, including Data Science, Cybersecurity, Business Intelligence, and more. Our affordable and accessible learning solutions serve a global audience, creating a vast community of learners from the US, India, the UK, Canada, and beyond.

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8. Online Professional Internship Program
9. Online Interview Preparation Training
10.Online Customized Project Preparation
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  1. Live Instructor Led Training
Class will be live Instructor led training and the trainers are experienced software working professionals in MNC’s. They face challenges every day at work and they know how to tackle them which they will teach it to the students. Trainers will teach them theory, concepts along with giving them basic to advanced level examples which will be useful for the students when they attend any interview or while working in any company.

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Our trainers are experienced software working professionals in MNC’s so the training will be in-depth which will make the students Industry ready and the students can work independently when they join any company.

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Students will be provided 3 to 8 live projects in a particular course so that they get enough practice during and after completion of the course. This will give them confidence to work with any company as the level of work in any company will be complex.

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Students will be able to view the recorded class video on Tech Learniversity app online and offline by downloading the video in mobile. They can also watch the video in desktop and laptop by using our web version.

  1. Internship Program
Students will be getting Internship Certificate after completion of Internship Program which is of 3 months. We provide Internship program in almost each course so that they will find it easy to join and work with any company after completion of Internship Program. If any student has already done any course from others but only want to do Internship Program from us, they can also join our Internship Program of 3 months.

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After successful completion of the Course and Internship Program they will get Letter of Recommendation (LOR) if they perform well as per instructions provided to them by the respective trainers.

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We have designed all our courses and Internship Program in such a way that the students get real time working experience. This will benefit students to work independently when they join any company.

  1. Job Interview Preparation
There will be a separate session for Job Interview preparation where our trainers will guide the students about how to crack any interview, help in resume preparation and also provide tips and tricks for interview. We will also provide resources which will help in preparation of the Interview.

  1. Customized 1 to 1 Training
We also provide customize training based on the student requirements. We conduct free demo to student so that student get a chance to interact with trainer before they take the 1 to 1 class.

  1. Customized Group Training
We also provide customize training to small groups based on student’s requirements. We conduct free demo to students so that students get a chance to interact with trainer before they take the small group class.

  1. Referral Bonus
Students are also eligible for referral bonus once they purchase a course from us.

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We will also provide tips on how to register for freelance work so that they can work as a full-time freelancer or part time freelancer to earn extra income during their free time.

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All the Tech Learniversity course available on our website are live Instructor led training.

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We do not provide EMI facility but you can convert through Credit Card or any other method as per availability.

We will provide placement assistance after the completion of the course in coming months.

Classes will be conducted on Zoom app and link will be shared via e-mail. We will be sending you the instructions on how to attend the live class in your mobile, laptop or desktop once you enroll in any of our courses.

Yes, you can watch recordings in the mobile app or by visiting our web version with your login credentials. You will find the recording in your purchased course section after you login.  We will be sending you the instructions on how to view the recorded live class in your mobile, tablet, laptop or desktop.

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