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, 1920×1080 | Audio: AAC, 44.1 KHz

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

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

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

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.