The Complete Algorithms and Data Structures Course

The Complete Algorithms and Data Structures Course, available at $74.99, has an average rating of 4.35, with 88 lectures, based on 43 reviews, and has 311 subscribers.

You will learn about Become an advanced, confident, and modern developer from scratch Become job-ready by understanding how Algorithms and Data Structures really work behind the scenes Learn, implement and use different data structures Get fast and friendly support in the Q&A area How to think and work like a developer: problem-solving, researching, workflows Complex concepts like the Dynamic Programming, Backtracking, Flow Networks, etc. Practice your skills with 20+ challenges and assignments (solutions included) This course is ideal for individuals who are Take this course if you want to gain a true and deep understanding of Algorithms and Data Structures or Take this course if you have been trying to learn Algorithms and Data Structures but: 1) still dont really understand Algorithms and Data Structures, or 2) still dont feel confident to code real apps or Take this course if you already know Algorithms and Data Structures and are looking for an advanced course. This course includes expert topics! or Take this course if you want to get started with programming It is particularly useful for Take this course if you want to gain a true and deep understanding of Algorithms and Data Structures or Take this course if you have been trying to learn Algorithms and Data Structures but: 1) still dont really understand Algorithms and Data Structures, or 2) still dont feel confident to code real apps or Take this course if you already know Algorithms and Data Structures and are looking for an advanced course. This course includes expert topics! or Take this course if you want to get started with programming.

Enroll now: The Complete Algorithms and Data Structures Course

Summary

Title: The Complete Algorithms and Data Structures Course

Price: $74.99

Average Rating: 4.35

Number of Lectures: 88

Number of Published Lectures: 88

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 88

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Become an advanced, confident, and modern developer from scratch

Become job-ready by understanding how Algorithms and Data Structures really work behind the scenes

Learn, implement and use different data structures

Get fast and friendly support in the Q&A area

How to think and work like a developer: problem-solving, researching, workflows

Complex concepts like the Dynamic Programming, Backtracking, Flow Networks, etc.

Practice your skills with 20+ challenges and assignments (solutions included)

Who Should Attend

Take this course if you want to gain a true and deep understanding of Algorithms and Data Structures

Take this course if you have been trying to learn Algorithms and Data Structures but: 1) still dont really understand Algorithms and Data Structures, or 2) still dont feel confident to code real apps

Take this course if you already know Algorithms and Data Structures and are looking for an advanced course. This course includes expert topics!

Take this course if you want to get started with programming

Target Audiences

Take this course if you want to gain a true and deep understanding of Algorithms and Data Structures

Take this course if you have been trying to learn Algorithms and Data Structures but: 1) still dont really understand Algorithms and Data Structures, or 2) still dont feel confident to code real apps

Take this course if you already know Algorithms and Data Structures and are looking for an advanced course. This course includes expert topics!

Take this course if you want to get started with programming

You’ve just stumbled upon the most complete, in-depth Algorithms and Data Structures course online.

Whether you want to:

– build the skills you need to get your first programming job

– move to a more senior software developer position

– become a computer scientist mastering in computation

– or just learn algorithms and data structures to be able to create your own apps quickly.

this complete Algorithms and Data Structures Masterclass is the course you need to do all of this, and more.

This course is designed to give you the Algorithms and Data Structures skills you need to become an advanced developer. By the end of the course, you will understand Algorithms and Data Structures extremely well and be able to build your own apps and be productive as a computer scientist and software developer.

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Algorithms and Data Structures course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous coding experience and takes you from absolute beginner core concepts. You will learn the core computer science skills and master advanced algorithms. It’s a one-stop shop to be an expert in computer science. If you want to go beyond the core content you can do so at any time.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

Big O Notation, Big Omega, Big Theta

Complexity Analysis of Algorithms

Divide and Conquer

Dictionaries (Maps)

Stacks and Queues

Binary Search Trees

AVL Trees

Priority Queues

Graphs

Depth-First Search and Breadth-First Search

Generation and Exhaustive Search (Backtracking)

Greedy Algorithms

Dynamic Programming

Flow Networks

Ford-Fulkerson Algorithm

Hash Tables

Boom Filters

Max-flow Min-cut Algorithm

Fibonacci Heaps

How to develop powerful applications using Advanced Data Structures and Algorithms.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

There’s no risk either!

This course comes with a full 30-day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.

You either end up with Algorithms and Data Structures skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose.

Ready to get started, developer?

Enroll nowusing the “Add to Cart” button on the right, and get started on your way to creative, advanced Algorithms and Data Structures brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, Algorithms and Data Structures are waiting!)

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Course Introduction

Lecture 2: Course Structure

Chapter 2: Analysis of Algorithms

Lecture 1: Introduction to Asymptotic Notation

Lecture 2: Time Complexity

Lecture 3: Big O Notation

Lecture 4: Big Ω Notation

Lecture 5: Big Θ Notation

Lecture 6: Exercise 1 – Cost Analysis

Lecture 7: Exercise 2 – Cost Analysis

Chapter 3: Data Structures – Dictionary

Lecture 1: Introduction to Dictionaries

Lecture 2: Implementation of Dictionaries

Lecture 3: Iteration Through a Dictionary

Lecture 4: Advanced Ways to Iterate

Lecture 5: Fundamental Methods

Chapter 4: Solved Problems – Dictionaries

Lecture 1: Problem 1 – Casino

Lecture 2: Problem 2 – Bag Of Words

Lecture 3: Problem 3 – Codes

Chapter 5: Data Structures – Stack

Lecture 1: Introduction to Stacks

Lecture 2: Implementation of Stacks

Chapter 6: Solved Problems – Stacks

Lecture 1: Problem 1 – Palindromic Sequence

Lecture 2: Problem 2 – Parenthesization Evaluation

Lecture 3: Problem 3 – Smaller on the Left

Chapter 7: Data Structures – Queues

Lecture 1: Introduction to Queues

Lecture 2: Implementation of Queues

Chapter 8: Solved Problems – Queues

Lecture 1: Problem 1 – Binary Numbers

Lecture 2: Problem 2 – Hot Potato Game

Chapter 9: Data Structures – Vector

Lecture 1: Introduction to Vectors

Lecture 2: Implementation of Vectors

Lecture 3: Fundamental Methods

Chapter 10: Solved Problems – Vectors

Lecture 1: Problem 1 – Minimum Value

Lecture 2: Problem 2 – Identical Element

Lecture 3: Problem 3 – Reverse Sequence

Chapter 11: Basic Sorting Algorithms

Lecture 1: Introduction to Sorting

Lecture 2: Selection Sort

Lecture 3: Insertion Sort

Lecture 4: Bubble Sort

Lecture 5: Merge Sort

Chapter 12: Sets

Lecture 1: Introduction to Sets

Lecture 2: Implementation of Sets

Chapter 13: Graphs

Lecture 1: Introduction to Graphs

Lecture 2: Representation of a Graph

Lecture 3: Adjacency Matrix Implementation

Lecture 4: Adjacency List Implementation

Chapter 14: Graph Algorithms – Depth First Search (DFS)

Lecture 1: Introduction to Depth First Search

Lecture 2: Depth First Search Implementation

Lecture 3: Depth First Search for Disconnected Graph

Chapter 15: Solved Problems – Depth First Search

Lecture 1: Problem 1 – Treasures in a Map

Lecture 2: Problem 2 – Number of Rewards

Lecture 3: Problem 3 – Forest

Chapter 16: Graph Algorithms – Breadth First Search (BFS)

Lecture 1: Introduction to Breadth First Search

Lecture 2: Breadth First Search Implementation

Chapter 17: Solved Problems – Breadth First Search

Lecture 1: Problem 1 – Minimum Distances

Lecture 2: Problem 2 – Furthest Treasure

Chapter 18: Graph Algorithms – Topological Sort

Lecture 1: Introduction to Topological Sort

Lecture 2: Algorithm Idea

Lecture 3: Topological Sort Implementation

Chapter 19: Solved Problems – Topological Sort

Lecture 1: Problem 1 – Task Ordering

Chapter 20: Binary Trees

Lecture 1: Introduction to Binary Trees

Lecture 2: Implementation of Binary Trees

Chapter 21: Solved Problems – Binary Trees

Lecture 1: Problem 1 – Size

Lecture 2: Problem 2 – Height

Lecture 3: Problem 3 – Equivalent Trees

Lecture 4: Problem 4 – Isomorphism

Lecture 5: Problem 5 – Preorder Traversal

Lecture 6: Problem 6 – Postorder Traversal

Lecture 7: Problem 7 – Inorder Traversal

Chapter 22: Flow Networks

Lecture 1: Flow Network Concept

Lecture 2: Max Flow Min Cut

Lecture 3: Residual Graph

Lecture 4: Augmenting Path

Chapter 23: Backtracking

Lecture 1: Brute Force Algorithms

Lecture 2: Introduction to Backtracking

Lecture 3: Generic Algorithm

Chapter 24: Solved Problems – Backtracking

Lecture 1: Problem 1 – Zeros and Ones

Lecture 2: Problem 2 – Combinations

Lecture 3: Problem 3 – Permutations

Instructors

Lucas Bazilio
Engineer and Mathematician

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 17 votes

5 stars: 23 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!