100% Discount || Java Data Structures and Algorithms Masterclass

Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.

At 45+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!

Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.

I cover everything you need to know about technical interview process!

So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money back guarantee for 30 days!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 – Introduction

• What are Data Structures?
• What is an algorithm?
• Why are Data Structures and Algorithms important?
• Types of Data Structures
• Types of Algorithms

Section 2 – Recursion

• What is Recursion?
• Why do we need recursion?
• How Recursion works?
• Recursive vs Iterative Solutions
• When to use/avoid Recursion?
• How to write Recursion in 3 steps?
• How to find Fibonacci numbers using Recursion?

Section 3 – Cracking Recursion Interview Questions

• Question 1 – Sum of Digits
• Question 2 – Power
• Question 3 – Greatest Common Divisor
• Question 4 – Decimal To Binary

Section 4 – Bonus CHALLENGING Recursion Problems (Exercises)

• power
• factorial
• productofArray
• recursiveRange
• fib
• reverse
• isPalindrome
• someRecursive
• flatten
• captalizeFirst
• nestedEvenSum
• capitalizeWords
• stringifyNumbers
• collectStrings

Section 5 – Big O Notation

• Analogy and Time Complexity
• Big O, Big Theta and Big Omega
• Time complexity examples
• Space Complexity
• Drop the Constants and the non dominant terms
• Add vs Multiply
• How to measure the codes using Big O?
• How to find time complexity for Recursive calls?
• How to measure Recursive Algorithms that make multiple calls?

Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)

• Product and Sum
• Print Pairs
• Print Unordered Pairs
• Print Unordered Pairs 2 Arrays
• Print Unordered Pairs 2 Arrays 100000 Units
• Reverse
• O(N)  Equivalents
• Factorial Complexity
• Fibonacci Complexity
• Powers of 2

Section 7 – Arrays

• What is an Array?
• Types of Array
• Arrays in Memory
• Create an Array
• Insertion Operation
• Traversal Operation
• Accessing an element of Array
• Searching for an element in Array
• Deleting an element from Array
• Time and Space complexity of One Dimensional Array
• One Dimensional Array Practice
• Create Two Dimensional Array
• Insertion – Two Dimensional Array
• Accessing an element of Two Dimensional Array
• Traversal – Two Dimensional Array
• Searching for an element in Two Dimensional Array
• Deletion – Two Dimensional Array
• Time and Space complexity of Two Dimensional Array
• When to use/avoid array