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    The Beginner'S Computer Science Roadmap To 6-Figure Career

    Posted By: ELK1nG
    The Beginner'S Computer Science Roadmap To 6-Figure Career

    The Beginner'S Computer Science Roadmap To 6-Figure Career
    Published 5/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.60 GB | Duration: 4h 33m

    Learn Computer Science fundamentals , Data structure, Algorithms, Database, Machine Learning to launch your Tech career

    What you'll learn

    Understand fundamental computer science concepts and the evolution of computing.

    Master programming foundations using Python, including control flow and object-oriented programming.

    Develop proficiency in data structures and algorithms, including searching, sorting, and recursion techniques.

    Learn software development lifecycle and engineering principles, including debugging and testing methodologies

    Gain expertise in database management, both SQL and NoSQL, including database design and advanced queries

    Understand operating systems fundamentals and networking principles

    Develop full-stack web development skills, covering both front-end and back-end technologies

    Learn the basics of machine learning and artificial intelligence applications in computer science

    Understand fundamental cybersecurity concepts and network security principles

    Build a comprehensive portfolio through practical projects while gaining real-world development experience

    Requirements

    No prior knowledge required for basic modules

    Basic understanding of mathematics and problem-solving skills (beneficial for advanced topics)

    Note that this is designed to be beginner-friendly, as it's meant for individuals who wish to learn computer science from scratch.

    Description

    Perfect for:- Complete beginners with no prior programming experience looking to start their tech journey- Students and professionals wanting to enhance their programming and development skills- Career changers seeking to transition into technical roles such as:    - Software Development    - Machine Learning    - CybersecurityThis comprehensive computer science course takes you from absolute basics to advanced concepts, providing a structured learning path that combines theory with practical application. You'll receive a Certificate in Computer Science upon completion, validating your expertise in key computer science concepts and development practices.No prior technical knowledge required - just bring your enthusiasm and problem-solving mindset!Here are 10 key learning objectives that you will take away:1. Understand fundamental computer science concepts and the evolution of computing2. Master programming foundations using Python, including control flow and object-oriented programming3. Develop proficiency in data structures and algorithms, including searching, sorting, and recursion techniques4. Learn software development lifecycle and engineering principles, including debugging and testing methodologies5. Gain expertise in database management, both SQL and NoSQL, including database design and advanced queries6. Understand operating systems fundamentals and networking principles7. Develop full-stack web development skills, covering both front-end and back-end technologies8. Learn the basics of machine learning and artificial intelligence applications in computer science9. Understand fundamental cybersecurity concepts and network security principles10. Build a comprehensive portfolio through practical projects while gaining real-world development experience

    Overview

    Section 1: Introduction to Computer Science

    Lecture 1 What is Computer Science?

    Lecture 2 The History and Evolution of Computing

    Lecture 3 Basic Computer Components

    Lecture 4 Introduction to Algorithms

    Section 2: Programming Foundations

    Lecture 5 Introduction to Programming

    Lecture 6 Python Programming Basics

    Lecture 7 Control Flow in Python

    Lecture 8 Data Structures in Python

    Lecture 9 Object-Oriented Programming (OOP)

    Section 3: Data Structures and Algorithms

    Lecture 10 Introduction to Data Structures

    Lecture 11 Advanced Data Structures : Tree

    Lecture 12 Advanced Data Structure: Binary Search Tree

    Lecture 13 Advanced Data Structure: Graphs

    Lecture 14 Algorithm Basics

    Lecture 15 Searching and Sorting Algorithms

    Lecture 16 Recursion and Backtracking

    Section 4: Software Development and Engineering

    Lecture 17 Software Development Lifecycle (SDLC)

    Lecture 18 Debugging and Testing

    Lecture 19 Software Design Principles

    Section 5: Databases and SQL

    Lecture 20 Introduction to Databases

    Lecture 21 SQL Basics

    Lecture 22 Database Design and Normalization

    Lecture 23 Advanced SQL Queries

    Lecture 24 NoSQL Databases

    Section 6: Operating Systems and Networking

    Lecture 25 Introduction to Operating Systems

    Lecture 26 Memory Management

    Lecture 27 File Systems and Disk Management

    Lecture 28 Networking Fundamentals

    Section 7: Web Development

    Lecture 29 Introduction to Web Development

    Lecture 30 Front-End Development

    Lecture 31 Back-End Development

    Lecture 32 Full-Stack Development

    Section 8: Introduction to Machine Learning and Artificial Intelligence

    Lecture 33 Basics of Machine Learning

    Lecture 34 Data Preprocessing and Feature Engineering

    Lecture 35 Deep Learning Fundamentals

    Lecture 36 AI in Computer Science

    Section 9: Cybersecurity Fundamentals

    Lecture 37 Introduction to Cybersecurity

    Lecture 38 Cryptography Basics

    Lecture 39 Network Security

    Section 10: Capstone Project

    Lecture 40 Project Planning

    Lecture 41 Development and Implementation

    Lecture 42 Presentation and Feedback

    This course is designed for individuals who wish to learn computer science from scratch or deepen their existing knowledge. Covering foundational topics to advanced techniques, the course is structured to provide a solid understanding of computer science principles, programming, algorithms, data structures, databases, software engineering, and more.