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Data Structures Algorithms Coding Interview

Course

DATA STRUCTURES ALGORITHMS CODING INTERVIEW

Category

Algorithms and Data Structures Online Training Institute

Eligibility

Graduates and Technology Aspirants

Mode

Regular Offline and Online Live Training

Batches

Week Days and Week Ends

Duration :

45 Days

Algorithms and Data Structures What will you learn?

•Learn to use tools in Algorithms and Data Structures.See how to build a Algorithms and Data Structures code.
•Learn how to use loop statement in Algorithms and Data Structures.
•Eliminate duplicate code and consolidate script files using Algorithms and Data Structures.
•Learn the Basic Concepts of Algorithms and Data Structures with Practical Examples
•Will be able to write error free programs in Algorithms and Data Structures
•Learn and Understand Algorithms and Data Structures From a total Beginner to and Expert
•Go from ‘zero’ to a true Algorithms and Data Structures expert’. Learn by examples
•Learn from two Algorithms and Data Structures experts and take your flow skills to the next level.

data structures algorithms coding interview Training Highlights

•Get job-ready for an in-demand career
•Get Training from Certified Professionals
•Accessibility of adequate training resources
•Create hands-on projects at the end of the course
•Fast track and Sunday Batches available on request
•We provide you with your recorded session for further Reference
•We provide one to one mentorship for the students and Working Professionals
•The course is all about familiarizing the trainees with simpler and smarter ways to develop the skills required for Implementation.

Who are eligible for Algorithms and Data Structures

•.Net, Asp.net, Application Support, Manual Testing, Business Analyst, Angularjs, Angular6, Angular7, Node.js, Mean Stack, Mern, Dot Net Developer, Fresher
•Front End, Javascript, Computer Graphics, Html, Css, Problem Solving, CSS, Web Technologies, Design, Software Development, Full Stack Developer
•Microsoft Azure, Azure, Sql Azure, Cloud Computing, Cloud Testing, SQL, Cognos Framework Manager, Query Studio, Oracle, Business Objects, Issue Resolution
•scala, React.js, Backend Developers, Frontend Developers, Fullstack Developers, Ui/ux Designers, Test Engineering, Site Reliability Engineer, Machine Learning
•UI/UX Architect, C#, Asp.Net, Javascript, CSS, Ajax, HTML, MS SQL, Azure, SugarCRM, Php, MVC, MYSQL, CodeIgniter, Android Developer, HTML5, CSS3, JQuery

DATA STRUCTURES ALGORITHMS CODING INTERVIEW Topics

•Time Complexity & Space Complexity – How to know the time of an algorithm?
•Overview – What are we gonna cover about Time Complexity & Space Complexity?
•Introduction – Why are these concepts so important?
•What is Big O? + O(1) Algorithms – Constant Time
•O(N) Algorithms – Example #1 – Linear Time
•O(N) Algorithms – Example #2
•O(N+M) Algorithms
•O(N*M / N²) Algorithms
•O(N² + N)? => O(N²) Algorithms
•O(N³) Algorithms
•O(logN) Algorithms
•Big Omega
•Big Theta
•Space Complexity – Part #1
•Space Complexity – Part #2
•Coding Interview Question & Answer – Part I
•Coding Interview Question & Answer – Part II
•Conclusion
•Quiz – What’s the Big O of this algorithm?
•1 question
•[OPTIONAL] Installing Eclipse
•Why Eclipse? Is it necessary?
•Eclipse Installation in Windows
•Eclipse installation in Linux
•Eclipse installation in Mac
•How to import the Downloadable Code examples in Eclipse
•[OPTIONAL] Basics about Java Syntax
•Introduction to Basics about Java Syntax section
•How to read the variables declaration in Java
•How to read a declaration of a method in Java
•Type Object & Type T (Generic Type)
•Two+ Methods with the same name
•Recursion
•Overview – Recursion
•Why is Recursion important? Why is it useful?
•Concept – Part #1
•[Downloadable Code] recursive example
•[OPTIONAL] Concept – Part #2
•Concept – Part #3
•[Downloadable Code] Sleep / Tell a Story Example
•Multiplication – Easy Example – Part #1
•Multiplication – Easy Example – Part #2
•Simple Example: Factorial
•How Recursion impacts Memory?
•Recursive Solutions vs Iterative Solutions
•Arrays & Strings
•Overview – Arrays & Strings
•Linear Search / Sequential Search
•Linear Search – Implementation
•[Downloadable Code] LinearSearch Implementation
•Binary Search / Dichotomous Search
•Binary Search – Implementation – Part #1
•Binary Search – Implementation – Part #2
•[Downloadable Code] Binary Search Implementation
•Mutable vs Immutable
•Two dimensional arrays (Matrix)
•Coding Interview Question – Permutation Problem
•Coding Interview Answer – Permutation Problem – Solution #1
•Coding Interview Answer – Permutation Problem – Solution #1 – TEST
•[Downloadable Code] Coding Interview Answer – Permutation Problem – Solution #1
•Coding Interview Answer – Permutation Problem – CONCEPTS for Solution #2
•Coding Interview Answer – Permutation Problem – Solution #2 – PART ONE
•Coding Interview Answer – Permutation Problem – Solution #2 – TEST & BUG FIXES!
•Coding Interview Answer – Permutation – Solution #2 – Space & Space Complexity
•Coding Interview Answer – Permutation Problem – Solution #2 – FINAL IMPROVEMENT
•[Downloadable Code] Coding Interview Answer – Permutation Problem – Solution #2
•Linked List
•Overview – Linked List
•Introduction – Internal Structure of a Linked List
•How Linked Lists are stored in memory (RAM)
•Linked Lists vs Arrays
•Types of Linked Lists
•Basic Structure of Linked List – Implementation
•Searching in a Linked List – Theory
•Searching in a Linked List – Implementation
•[OPTIONAL] Searching in a Linked List – Testing the implementation
•Inserting at the beginning of a Linked Link
•Inserting at the beginning of a Linked Link – Implementation
•Methods get() & printElements() in a Linked List – Implementation
•[OPTIONAL] Inserting at the beginning of a Linked Link – Implementation (TEST)
•Inserting at the end of a Linked List with a Tail pointer
•Inserting at the end of a Linked List without a Tail pointer
•Inserting at the end of a Linked List without a Tail pointer – Implementation
•[OPTIONAL] Inserting at the end of a Linked List – TEST of the implementation
•Inserting in the middle of a Linked List
•Inserting in the middle of a Linked List – Implementation
•[OPTIONAL] Inserting in the middle of a Linked List – TEST Implementation
•Removing the first element of a Linked List
•Removing the first element of a Linked List – Implementation
•[OPTIONAL] Removing the first element of a Linked List – TEST Implementation
•Removing the last element of a Linked List
•Removing the last element of a Linked List – Implementation
•[OPTIONAL] Removing the last element of a Linked List – TEST Implementation
•Removing in the middle of a Linked List
•Removing in the middle of a Linked List – Implementation
•[OPTIONAL] Removing in the middle of a Linked List – TEST Implementation
•[Downloadable Code] Linked List Implementation
•ArrayList
•What is an ArrayList?
•How it works internally?
•Most common operations
•Stacks
•Introduction to Stacks
•Operations
•How to implement an Stack from scratch? – Part #1
•How to implement an Stack from scratch? – Part #2
•How to use Stacks in Java
•[Downloadable Code] Stack Implementation
•Queues
•Introduction to Queues
•How to implement a Queue from scratch – Part #1
•How to implement a Queue from scratch – Part #2
•How to use Queues in Java
•[Downloadable Code] Queue Implementation
•Hashing & HashTables
•Dictionary Example
•Overview – Hashing & HashTables
•HashMap vs HashTable in Java – Part #1
•HashMap vs HashTable in Java – Part #2
•HashMap Operations
•[OPTIONAL] HashTable/HashMap equivalent in Python, Javascript and Ruby
•[OPTIONAL] HashTable/HashMap equivalent in C++
•HashTables vs Arrays
•How a Hash Table works internally? – Part #1
•How a Hash Table works internally? – Part #2
•How a Hash Table works internally? – Part #3
•What is a Hash Function? How it works?
•Collisions and how are they handled internally – Separate Chaining – Part #1
•Collisions and how are they handled internally – Separate Chaining – Part #2
•LinkedHashMap
•TreeMap
•HashSet (Not a Hash Table!)
•HashTable Time Complexity & Space Complexity