The Beginner's Computer Science Roadmap to 6-figure career
Zeenat Parween, Data Scientist
Assista a este curso e milhares de outros
Assista a este curso e milhares de outros
Aulas neste curso
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1.
Introduction
1:40
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2.
Introduction to Computer Science
5:17
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3.
The History and Evolution of Computing
6:35
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4.
Basic Computer Components
6:33
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5.
Introduction to Algorithms
4:58
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6.
Introduction to Programming
4:54
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7.
Python Programming Basics
12:45
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8.
Control Flow in Python
12:02
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9.
Data Structures in Python
16:30
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10.
Object-Oriented Programming (OOP)
4:41
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11.
Introduction to Data Structures
9:25
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12.
Advanced Data Structure: Tree
9:11
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13.
Advanced Data Structure: Binary Search Tree
6:39
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14.
Advanced Data Structure: Graphs
8:03
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15.
Algorithm Basics
5:58
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16.
Searching and Sorting Algorithms
7:06
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17.
Recursion and Backtracking
5:32
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18.
Software Development Lifecyle (SDLC)
6:17
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19.
Debugging and Testing
6:06
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20.
Software Design Principles
6:47
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21.
Introduction to Databases
4:17
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22.
SQL Basics
7:56
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23.
Database Design and Normalization
6:22
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24.
Advanced SQL Queries
6:12
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25.
NoSQL Databases
4:51
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26.
Introduction to Operating Systems
5:20
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27.
Memory Management
5:27
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28.
File System and Disk Management
5:40
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29.
Networking Fundamentals
6:17
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30.
Introduction to Web Development
4:51
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31.
Front-End Development
5:50
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32.
Back-End Development
4:52
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33.
Full-Stack Development
3:47
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34.
Basics of Machine Learning
4:58
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35.
Data Preprocessing and Feature Engineering
5:26
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36.
Deep Learning Fundamentals
4:53
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37.
AI in Computer Science
5:52
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38.
Introduction to Cybersecurity
5:21
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39.
Cryptography Basics
5:37
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40.
Network Security
6:12
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41.
Capstone Project Planning
5:25
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42.
Development and Implementation
5:56
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43.
Presentation and Feedback
5:51
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Estudantes
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Sobre este curso
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
- Cybersecurity
This 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 computing
2. Master programming foundations using Python, including control flow and object-oriented programming
3. Develop proficiency in data structures and algorithms, including searching, sorting, and recursion techniques
4. Learn software development lifecycle and engineering principles, including debugging and testing methodologies
5. Gain expertise in database management, both SQL and NoSQL, including database design and advanced queries
6. Understand operating systems fundamentals and networking principles
7. Develop full-stack web development skills, covering both front-end and back-end technologies
8. Learn the basics of machine learning and artificial intelligence applications in computer science
9. Understand fundamental cybersecurity concepts and network security principles
10. Build a comprehensive portfolio through practical projects while gaining real-world development experience
Projeto prático de curso
Project Overview
Congratulations on completing the course! As a final step, you are required to apply what you've learned by completing a Capstone Project. This project will demonstrate your understanding of basic programming concepts, problem-solving, and computational thinking.
Project Objectives
By completing this capstone project, you should be able to:
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Apply programming fundamentals such as variables, loops, conditionals, functions, and data structures.
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Demonstrate algorithmic thinking.
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Document your thought process, approach, and outcomes clearly.
Project Report Requirements
Submit a written report (1–3 pages) including the following sections:
1. Project Title & Objective
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What is the name of your project?
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What does it do? What problem does it solve or demonstrate?
2. Tools and Technologies Used
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What programming language(s) and tools did you use?
3. Design & Implementation
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Describe how you planned and built your project.
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Mention key features, logic, and any functions or structures used.
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Include code snippets or screenshots if helpful.
4. Challenges & Learning
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What problems did you encounter?
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How did you solve them?
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What did you learn through this project?
5. Future Improvements (Optional)
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How would you enhance this project if given more time?
Feel free to brainstorm ideas and reach out to your instructor for feedback or approval if you have a unique idea in mind.
Nota do curso
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