Data Structures Online Training

This Online Data Structures course in Needintech explains data structures such as linked lists, stacks and queues, binary search trees, heaps, searching, and hashing in detail.

Data Structures Online Course Description

In this online course, we will look at the most common data structures that are used in a variety of computational problems. You will learn how to implement these data structures in various programming languages and will practise doing so in our programming assignments. This will assist you in understanding what is happening inside a specific built-in implementation of a data structure and what to expect from it. You will also learn about common applications for these data structures.

Mock Interviews

Needintech's mock interviews provide a platform for you to prepare for, practise for, and experience a real-life job interview. You will have an advantage over your colleagues if you familiarise yourself with the interview environment beforehand in a comfortable and stress-free environment.

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Course Objetives

A data structure is a data organisation, management, and storage format in computer science that allows for efficient access and modification.

  • Students of Computer Science.
  • Software Engineering.
  • Scientists of Data.
  • Data Structures. 
  • Algorithms and Algorithm Analysis.
  • Interviewing abilities in programming.
  • Over 100 Quiz questions will put your knowledge to the test.
  • Discover how to analyse algorithms.
  • Learn how to write and trace recursive algorithms.
  • When you enrol in the course, you gain access to all of the courses in the Specialization, and when you complete the work, you will receive a certificate. Your electronic Certificate will be added to your Accomplishments page, where you will be able to print it or add it to your LinkedIn profile. You can audit the course for free if you only want to read and view the course content.
  • There are numerous coding languages that use data structures. C++ and Java stand out for their ease of use with DSA. Other notable languages for learning data structures include Python and Javascript.
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Syllabus of Data Structures Online Course

Module 1 : Introduction to Programming

  • Decision trees & control
  • Binary number system
  • Strings
  • Arithmetic operators
  • Loops



Module 2: Programming Constructs

  • Functions
  • Recursion
  • Pointers
  • Structures
  • Structures, Unions & Dynamic Arrays
  • Asymptotic notations

Module 3:
Problem Solving & CS Fundamentals

  • Time Complexity, Arrays, Strings, Binary Search.
  • 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation
  • Stacks, Queues, Linked Lists, Trees, Tries, Heap
  • Greedy, DP, Graphs
  • DB, OS, and Computer Networks

Module 4 : Advanced DSA

  • Combinatorics and Probability
  • Matrix exponentiation
  • Advanced Trees: Segment Tree, k-D Tree
  • Advanced Dynamic Programming 1
  • Advanced Graphs 1: Bridges, Articulation point
  • Advanced Graphs 2: Network Flow
  • Miscellaneous company problem discussion

Module 5 : Concurrent Programming

  • Introduction to Concurrency
  • Concurrency in Java
  • Concurrency in Java 2 + Exercise
  • Parallelization 1
  • Parallelization 2
  • Dependency Injection
  • Concurrent Programming 1
  • Concurrent Programming 2
  • Assignment Discussion

Module 6 : Product Management


  • Introduction to Product Management
  • Product Vision and Measurement
  • Roadmaps and Prioritization
  • The Spring Process and Product Leadership
  • Product Development I
  • Product Development II

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