
This course includes our updated coding exercises so you can practice your skills as you learn.
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Explore how computers use binary and how languages translate code into machine code, and learn procedural, functional, and object-oriented paradigms, plus static versus dynamic typing and stack-and-heap memory.
Explore flowcharts and pseudocode to model program logic using start/end shapes, input/output, processing, decision diamonds, and arrows, then build simple programs like name greeting, salary bonus, and prime check.
Explains how Java compiles to bytecode, runs on the JVM via class files, and why Java is platform independent, while guiding installation of JDK and IntelliJ IDEA.
Learn the basics of Java, including input/output with System.out and Scanner, primitive data types, and the main entry point public static void main, plus essential syntax and debugging tips.
Master conditionals and loops in Java with hands-on examples, including salary bonus logic and user input, using if-else, for, while, and do-while.
Explore switch statements in Java, mapping fruit inputs such as mango, apple, and orange to outputs using switch cases, breaks, and a default, and compare this approach with if-else.
Learn how to declare and call functions in Java, including static main, void return types, parameters and arguments, pass by value, scope, and method overloading for practical DS&A practice.
Keep going through the second section of this data structures and algorithms in Java course, and share honest feedback in the comments to help others and improve the course.
Explore arrays as a core data structure in Java, including declaration, initialization, indexing, and iteration, with examples using int arrays and string arrays, plus dynamic input and basic array operations.
Explore multidimensional arrays in Java, learning 2D array structures, rows and columns, matrix representation, and working with input, nested loops, dynamic (jagged) arrays, and element access.
Explore the ArrayList in Java, its dynamic sizing within the collection framework, and common operations like add, set, remove, and contains. See how initial capacity and generics shape its syntax.
Learn to swap values in an array with a swap function, using a temporary variable, passing the array and two indices, and printing the result with Arrays.toString.
Learn to find the maximum value in an array using Java by iterating with a for loop, initializing a max value, and updating it when a larger element appears.
Explore strings and string builders in java, including the string pool and immutability, and learning equals vs == with StringBuilder for efficient concatenation and common methods.
Explore number systems used in computing, including binary, decimal, octal, and hexadecimal, and learn base conversions, division remainder methods, and how CPUs understand binary language.
Explore bitwise operators and, or, xor, and not within boolean logic and binary concepts, then master left and right shift operations with practical examples.
Learn to determine odd or even numbers using bitwise and operations and binary concepts, converting decimals to binary and inspecting the least significant bit.
Solve the problem of finding a unique element in an array using Java and the XOR bitwise operator, demonstrated with positive and negative inputs.
Learn to find, set, and reset bits using masking and bitwise operators in Java. See the 12 example (binary 1100) to illustrate and, or, and complement operations.
Learn to represent negative binary numbers in one byte via the tools complement (complement plus one) and understand the eight-bit range from -128 to 127.
COMPLETE Beginner to Expert Guide to Ace Coding Interview THIS YEAR with Data Structures & Algorithms in Java EVEN WITH Zero Experience.
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Basics - We learn about the fundamentals of Java. How it works, the architecture, code execution, every single step in detail. We also cover the installation of tools that are required to write code in Java. We run our first Java program from scratch, providing a hands on demo of every step. We cover input and output in Java, data types, type conversion and casting, debugging, control flow, loops, and also solve a few problems.
Arrays and ArrayLists - We dive deep into how it works, the memory management, input/output, multidimensional arrays, dynamic arrays, working with functions, and solve some questions.
Strings and String Builder - We look into how it works internally, various operations, memory management, and some examples!
Searching Algorithms - We cover Linear Search & Binary Search in-depth. We cover the working, complexity analysis, code, and solve some LeetCode and FAANGM questions to strengthen the concepts.
Sorting Algorithms - In the sorting algorithm series, we cover Bubble sort, Selection sort, Insertion sort, Cycle Sort, Merge Sort in depth. We look at how the algorithm works, the complexity analysis, optimization, and code.
Pattern Questions - We'll look at how you can solve any coding patterns question in a step by step manner, and what the thought process should be like.
Time & Space Complexity - We'll go from beginner to advanced with “Time and Space Complexity Analysis”. We'll cover in-depth explanations of Big-O, Big-Omega, Theta and other notations
Recursion & Backtracking - Covers an introduction to Backtracking, along with maze path problems. An important video for interviews covering complete theory + code + tips.
Object Oriented Programming - In this section you'll master OOP Concepts like never before. This Module contains 7 lectures crossing over 5 hrs!
Linked Lists - One of the most important data structures for coding interviews. Here we also build the Linked List from scratch and see how it works internally! This module is also full of interview questions from Google, Facebook, Amazon, Microsoft, Apple, Twitter and LinkedIn ranging from LeetCode Easy to Hard.
Stacks and Queues - One of the most important data structures for coding interviews. Here we also build the data structures from scratch and see how it works internally. Along with the dynamic implementations, circular queues, exception handling and more.
Trees - One of the most important data structures for coding interviews. Here we also build the data structures from scratch and see how it works internally. Along with the Binary Trees, Binary Search Trees and Solving LeetCode Problems.
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