Data Structures and Algorithms – High Level MADE EASY
Data Structures and Algorithms – High Level MADE EASY, available at $199.99, has an average rating of 3.5, with 37 lectures, based on 199 reviews, and has 14454 subscribers.
You will learn about they will be able to use algorithms with ease to solve their programming problems. build a search engine from scratch This course is ideal for individuals who are Anyone interested in programming in any language. It is particularly useful for Anyone interested in programming in any language.
Enroll now: Data Structures and Algorithms – High Level MADE EASY
Summary
Title: Data Structures and Algorithms – High Level MADE EASY
Price: $199.99
Average Rating: 3.5
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- they will be able to use algorithms with ease to solve their programming problems.
- build a search engine from scratch
Who Should Attend
- Anyone interested in programming in any language.
Target Audiences
- Anyone interested in programming in any language.
Have you ever used data structures in Python or Java? Well, do you really understand how they work? If you struggle with algorithms, it means you are approaching this topic the wrong way!
There are lots of places to copy code from, but without having high level understanding, it can be difficult to handle data structures well.
This course teaches the fundamentals of algorithms, so you can apply knowledge easily. This course contains NO PROGRAMMING, JUST PSEUDOCODE to encourage understanding of Algorithms and how to use them
Whatever the reason, if you are looking for a course that focus on the implementations to give you a complete understanding of how things work, then this is the course for you. This course is a combination of two courses I took as an undergraduate and taught to graduate students at Cornell and Stanford.
This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered.
This is a hands-on course! If you want to try understand things at a deep level, and work on implementations, rather than theory, then again, this is the course for you.
Topics covered:-
Arrays
Linked Lists
Trees
Hashtables
Stacks
Queues
Heaps
Sort algorithms
Search algorithms
The course also spends more time than most other courses of its kind looking at what’s available in the JDK. Students wanting to understand how things work “under the hood” will benefit enormously from this course.
Why learn about data structures and algorithms?
The reality is, the more you learn about data structures and algorithms, the better a programmer you become.
Why?
Because, data structures and algorithms are effectively patterns for solving problems. You want to add as many of them as you can to your skill-set. By doing so, you will find you solve more problems, and use the right tools for the job, in a more elegant way. And you will learn HEAPS of them in this course.
Why enrolling in this course is the best decision you can make.
Most courses focus on giving you the theory of how things work, so that you can take an interview. Whilst the theory is important, the knowledge of how to implement these data structures and algorithms are of vital importance.
This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered. The main focus of the course is to give you a real understanding of how things work under the hood, so that you can apply this to future programming projects.
If you want to actually understand how things work, and be able to take that understanding and apply it to your own programs, then this course is for you.
After completing this course, you will have a solid understanding of data structures and algorithms.
The sooner you sign up for this course, the sooner you will have the skills and knowledge you need to increase your job or consulting opportunities. Both Python and Java developers with key skills and understanding of data structures and algorithms are in high demand and get paid extremely well. You need to MASTER ALGORITHMS to be a respected programmers.
If you are ready for that new job promotion or consulting opportunity, it’s time to get started.
Why not get started today?
Click the Signup button to sign up for the course
Who is the target audience?
- Developers who have some knowledge of Python or Java looking to understand data structures and algorithms at a deep level
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Algorithms
Lecture 2: Intro Continued
Lecture 3: Course Overview
Lecture 4: Course Overview Part 2
Chapter 2: Algorithmic Thinking
Lecture 1: Merge Sort
Lecture 2: Pseudocode
Lecture 3: Merge Sort Analysis
Lecture 4: Guiding Principles of Algorithm Assessment
Lecture 5: Big Oh Definition
Lecture 6: Big Oh Examples
Lecture 7: Omega, theta, little oh
Lecture 8: Additional Examples
Lecture 9: Divide and Conquer Inversions
Lecture 10: Counting Inversions
Lecture 11: Multiplying Matrices
Lecture 12: Closest Pair Part 1
Lecture 13: Closest Pair Part 2
Lecture 14: 18. Master Method
Lecture 15: Master Method Precise
Lecture 16: Master Method Examples
Lecture 17: Master Method Proof Part 1
Lecture 18: Master Method Proof Part 2
Lecture 19: Master Method Proof Part 3
Lecture 20: Quick Sort
Lecture 21: Quick Sort Pivot Partition
Lecture 22: Quick Sort Pivot Point
Lecture 23: Partition Subroutine
Lecture 24: Quick Sort Decomposition
Lecture 25: Quick Sort Proof Continued
Lecture 26: Probability
Lecture 27: R select
Chapter 3: Data Structures
Lecture 1: Linear Time Selection
Lecture 2: Data Structure Intro
Lecture 3: Heaps
Lecture 4: Heap Implementation
Lecture 5: Balanced Binary Trees
Lecture 6: Hash Tables
Instructors
-
GP Shangari
Algorithmic Trading Instructor
Rating Distribution
- 1 stars: 21 votes
- 2 stars: 21 votes
- 3 stars: 58 votes
- 4 stars: 57 votes
- 5 stars: 42 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!
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