Description
Complete Intro to Computer Science is basic computer science (CS) training course published by the Frant & Masters Academy. This course is a general and essential training program for computer engineers and programmers in various fields and will help you to have an in-depth understanding of issues and familiarity with the way computers work and…
Familiarity with the basics of computer science has a huge impact on the way you look at computers and can help new and inexperienced programmers get behind job interviews. Hiring agents and interviewers in large companies often ask the interviewees a series of complex questions in the field of algorithm writing and data structure. To answer these questions, you must have mastered the basics of computer science and expanded your general knowledge of technology.
What you will learn in the Complete Intro to Computer Science course:
- Algorithm writing and development of applied and practical algorithms based on project prerequisites and objectives
- Big O Analysis Symbol
- Recursion
- Sorting algorithms
- Data Structures
- AVL Trees
- Binary Search Trees
- Tree Traversals
- Path Finding Algorithm
See Also:
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Frontend Masters – Production-Grade Next.js 2021
Udemy – The Complete Neural Networks Bootcamp: Theory, Applications 2021
Udemy – Complete NodeJS Developer in 2022 (GraphQL, MongoDB, + more) 2021
Frontend Masters – Complete Intro to Real-Time 2021
Course specifications
Publisher: Front & Masters
Instructor: Brian Holt
Language: English
Level: Introductory
Number of Courses: 51
Duration: 8 hours and 59 minutes
Complete Intro to Computer Science course titles
Introduction
Algorithm Analysis
Iterative Sorts
Recursive Sorts
Non-Comparison Sorts
Binary Search
Lists
Trees
Applying Tree Algorithms
Other Data Structures
Wrapping Up
Course pictures
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
download link
Download Part 1 – 1 GB
Download Part 2 – 1 GB
Download Section 3 – 1 GB
Download Section 4 – 94 MB
file password link
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