Learn Computer Science Completely for Free
Computer Science is a vast and exciting field, and there are many ways to dive into it. Whether you're looking to become a software developer, a data scientist, or simply improve your tech skills, free online courses can help you achieve your goals. Below, we explore some excellent YouTube courses that provide in-depth learning and hands-on practice, entirely for free.
1. Python Tutorial For Beginners in Hindi | Complete Python Course
Course Overview: This comprehensive Python tutorial is aimed at beginners and covers everything from the basics of Python programming to more advanced topics. Delivered in Hindi, this course is accessible for those who prefer to learn in their native language. Python is one of the most popular programming languages today, and this course will help you build a strong foundation in it.
Course Topics:
- Introduction to Python: Learn about the basics of Python, how to install it, and how to run your first Python program.
- Data Types and Variables: This module covers Python's built-in data types like integers, floats, strings, and booleans, and teaches how to store data in variables.
- Control Flow: Learn about conditionals (if, elif, else) and loops (for, while) to control the flow of your program.
- Functions and Modules: Understand how to define functions and use modules to structure your Python code better.
- Working with Files: Learn to read from and write to files, which is essential for handling data.
- Libraries and Frameworks: Explore popular libraries like NumPy for numerical computations and Pandas for data analysis.
By the end of the course, you’ll have the confidence to write Python scripts for a variety of tasks and even develop small projects.
Video Link: Watch Now
2. Java Tutorial For Beginners
Course Overview: Java is one of the most widely used programming languages, known for its portability across platforms. This tutorial covers Java programming from the ground up, starting with basic concepts and advancing to object-oriented programming (OOP). The course is designed for beginners and offers hands-on coding examples to reinforce the concepts learned.
Course Topics:
- Java Basics: This section covers the fundamentals of Java, including syntax, variables, and the famous "Hello, World!" program.
- Object-Oriented Programming (OOP): Learn about Java’s OOP features such as classes, objects, inheritance, polymorphism, and encapsulation.
- Control Structures: Delve into decision-making statements (if-else) and looping constructs (for, while, do-while) to control the program’s flow.
- Arrays and Collections: Understand how to store and manipulate multiple data values using arrays and collection frameworks like ArrayList and HashMap.
- Exception Handling: Learn how to manage errors in your Java programs using try-catch blocks and custom exceptions.
- Java I/O: Explore Java’s input/output streams to handle reading and writing data.
This Java course equips you with the skills needed to build a variety of applications, from simple programs to complex systems.
Video Link: Watch Now All Visdeos In Playlist
3. GitHub Tutorial For Beginners in Hindi
Course Overview: Git and GitHub are essential tools for version control and collaborative software development. This course, delivered in Hindi, provides a thorough introduction to using Git for version control and GitHub for hosting repositories. You will learn how to manage code efficiently, collaborate with other developers, and track changes over time.
Course Topics:
- Introduction to Git: Understand the basic concepts of version control and how Git tracks changes in your code.
- Setting Up Git: Learn how to install Git on your computer and configure it for use with your projects.
- Git Commands: Explore essential Git commands like
git init
,git add
,git commit
,git push
, andgit pull
. - Branches and Merging: Understand the importance of branching in Git, and how to create, merge, and delete branches.
- GitHub Basics: Learn how to create a GitHub account, host repositories, and push local changes to GitHub.
- Collaborating on GitHub: Understand how to work with other developers, make pull requests, and resolve merge conflicts.
This course helps you understand how version control systems work, making it easier for you to contribute to open-source projects or collaborate with teams.
Video Link: Watch Now
4. SQL Tutorial - Full Database Course for Beginners 2024 Indepth Course
Course Overview: SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. This course takes you through the essential concepts and commands in SQL, teaching you how to interact with databases, perform data queries, and manipulate data effectively.
Course Topics:
- Introduction to SQL: Learn what SQL is, how relational databases work, and how to interact with them.
- Basic SQL Queries: Understand how to retrieve data from a database using SELECT statements.
- Filtering and Sorting Data: Learn how to filter and sort results using WHERE, ORDER BY, and LIKE clauses.
- Joining Tables: Understand how to combine data from multiple tables using INNER JOIN, LEFT JOIN, and RIGHT JOIN.
- Data Manipulation: Learn how to insert, update, and delete data using SQL commands like INSERT, UPDATE, and DELETE.
- Advanced SQL: Explore advanced features like subqueries, group functions (SUM, AVG), and the GROUP BY clause.
By the end of this course, you'll be able to write complex queries to interact with databases and perform data analysis tasks.
Video Link: Watch Now
5. C++ Programming Course - Beginner to Advanced
Course Overview: C++ is one of the most powerful and widely-used programming languages in the world. This course is designed for beginners who want to learn C++ programming from the ground up and gradually advance to more complex topics. Whether you are interested in developing software applications, games, or system-level programs, this course will give you the foundational knowledge you need.
Course Topics:
- Introduction to C++: Learn the basic syntax of C++, variables, and simple data types.
- Control Structures: Dive into loops (for, while) and decision-making (if-else) constructs.
- Functions and Arrays: Understand the concepts of functions and how arrays work in C++.
- Object-Oriented Programming (OOP): Master key OOP concepts such as classes, objects, inheritance, and polymorphism.
- Pointers and Memory Management: Explore the critical concepts of pointers, dynamic memory allocation, and memory management.
- File Handling and Libraries: Learn how to read and write files and use standard libraries to enhance your programs.
Video Link: Watch Now
6. Sigma Web Development Course - Web Development Tutorials in Hindi
Course Overview: This comprehensive web development course is tailored to beginners and covers all the essential tools and techniques to become proficient in web development. Taught in Hindi, it takes you through the step-by-step process of building both static and dynamic websites using modern technologies.
Course Topics:
- HTML & CSS Foundations: Understand the basic structure of web pages using HTML and apply styles to them with CSS to enhance their appearance.
- Responsive Web Design: Understand how to make websites mobile-friendly using media queries and CSS flexbox/grid.
- JavaScript Basics: Get introduced to JavaScript to make your websites interactive.
- Front-End Frameworks: Dive into frameworks like Bootstrap to design faster and more responsive web pages.
- Back-End Development: Learn server-side programming concepts using PHP or Node.js.
- Databases & APIs: Learn how to link your websites to databases and interact with REST APIs to fetch and display dynamic content, enabling more interactive and data-driven web applications.
Video Link: Watch Now All Visdeos In Playlist
7. DevOps Bootcamp
Course Overview: DevOps is all about creating a seamless workflow between software development and IT operations to deliver software products more efficiently and reliably. This bootcamp covers the key principles, tools, and practices that help teams work together more effectively.
Course Topics:
- Introduction to DevOps: Gain a foundational understanding of DevOps, including its core principles, practices, and how it facilitates seamless collaboration between development and operations teams to streamline software delivery and infrastructure management.
- Version Control with Git: Learn the fundamentals of Git and GitHub for managing code changes and collaboration.
- CI/CD Pipelines: Discover how to set up continuous integration and continuous delivery pipelines to automate testing and deployment.
- Containerization with Docker: Learn about Docker for creating, deploying, and managing lightweight containers.
- Orchestration with Kubernetes: Understand Kubernetes for automating the deployment, scaling, and management of containerized applications.
- Monitoring and Logging: Get to grips with monitoring tools like Prometheus and Grafana, and logging techniques for tracking system health.
Video Link: Watch Now All Visdeos In Playlist
8. Strivers A2Z-DSA Course | DSA Playlist | Placements on Youtube Video
Course Overview: Data Structures and Algorithms (DSA) form the backbone of programming and technical interviews. This course is designed to take you through a systematic approach to solving problems using DSA concepts. Perfect for placement preparation, it also helps you build strong problem-solving skills.
Course Topics:
- Introduction to DSA: Understand the basic concepts of data structures and algorithms, their importance, and their real-world applications.
- Arrays and Strings: Learn how to work with arrays and strings, including operations like searching and sorting.
- Linked Lists: Dive deep into linked lists, including single, double, and circular linked lists.
- Stacks and Queues: Explore stack and queue data structures and their applications in solving problems.
- Trees and Graphs: Learn about binary trees, binary search trees, and graph algorithms.
- Sorting and Searching Algorithms: Get familiar with popular sorting algorithms like Quick Sort, Merge Sort, and binary search techniques.
- Dynamic Programming: Master dynamic programming for solving optimization problems efficiently.
Video Link: Watch Now All Visdeos In Playlist
9. Cyber Security Full Course for Beginners in 11 Hours - 2024 Edition on YOUTUBE VIdeo FUll For FREE
Course Overview: Cyber security is a rapidly growing field, and this course introduces you to the world of protecting systems and networks from digital threats. It is aimed at beginners and provides practical insights into securing computer systems.
Course Topics:
- Introduction to Cyber Security: Learn about the importance of cyber security and the different types of threats (viruses, malware, hacking).
- Network Security: Understand how to protect networks from cyber threats using firewalls, VPNs, and other security tools.
- Cryptography: Dive into the science of encrypting data to protect it from unauthorized access.
- Ethical Hacking: Get an introduction to ethical hacking techniques used by security professionals to identify vulnerabilities.
- Incident Response: Learn how to respond to cyber-attacks, including detecting and mitigating attacks, and recovery strategies.
Video Link: Watch Now
10. Linux Zero to Hero Playlist 2024
Course Overview: Linux is the foundation of many technologies today, from servers to embedded systems. This comprehensive course takes you from beginner to advanced in Linux. You will learn everything from basic terminal commands to advanced system administration, including user management, permissions, process control, and shell scripting. By the end of the course, you'll be equipped with the skills to manage Linux systems effectively, troubleshoot issues, and automate tasks.
Course Topics:
- Introduction to Linux: Learn the basics of Linux, including installation, the command line interface (CLI), and basic commands.
- File Systems and Permissions: Understand how file systems work and how to manage file permissions.
- Process Management: Learn how to manage processes, including how to monitor and control processes on a Linux system.
- Networking in Linux: Get hands-on experience with networking tools and commands to configure network interfaces and troubleshoot connections.
- Advanced Linux Administration: Explore topics such as system logging, automation with shell scripting, and package management.
Video Link: Watch Now All Visdeos In Playlist
11. Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024 Edition
Course Overview: Data analytics is a vital skill for turning raw data into meaningful insights. This comprehensive course takes you from the basics of data analysis to advanced techniques used in the industry. It covers various tools and methods to help you analyze and interpret data effectively.
Course Topics:
- Introduction to Data Analytics: Learn the fundamentals of data analytics, its importance, and its applications in different industries.
- Data Collection and Cleaning: Understand how to gather data from various sources and clean it for analysis.
- Exploratory Data Analysis (EDA): Learn how to explore datasets, visualize data, and identify patterns.
- Statistical Analysis: Get familiar with basic statistics, probability, and hypothesis testing.
- Data Visualization Tools: Learn how to use tools like Tableau and Excel to create meaningful visualizations.
- Machine Learning for Data Analytics: Explore basic machine learning algorithms used for predictive analytics and data modeling.
Video Link: Watch Now
12. Data Science FULL Course for Beginners in 27 HOURS - 2024 Edition
Course Overview: Data Science is an interdisciplinary field that combines computer science, statistics, and domain expertise to analyze, interpret, and extract meaningful insights from complex datasets. This course covers the fundamentals of data collection, cleaning, and preprocessing, followed by advanced topics such as machine learning algorithms, data visualization, and statistical analysis. By mastering these techniques, you'll be able to make data-driven decisions and solve real-world problems across industries like finance, healthcare, marketing, and technology. This course will guide you through data science fundamentals, tools, and algorithms needed to become a proficient data scientist.
Course Topics:
- Introduction to Data Science: Understand the role of data science in solving real-world problems.
- Data Cleaning and Preprocessing: Learn how to clean data and prepare it for analysis.
- Exploratory Data Analysis (EDA): EDA is a critical step in data analysis that helps uncover patterns, trends, and anomalies in data before applying more advanced statistical models or machine learning techniques. In this course, you'll learn how to clean and transform raw data, visualize it through various plots and graphs, and identify relationships between different variables. Mastering EDA techniques such as histograms, scatter plots, box plots, and correlation matrices will enable you to gain valuable insights from your data and make informed decisions. EDA lays the foundation for effective data modeling by helping you understand the structure and behavior of your dataset.
- Statistical Foundations: Learn the statistical methods that form the basis of data science, including regression, classification, and clustering.
- Machine Learning Algorithms: Get an introduction to machine learning models such as linear regression, decision trees, and k-means clustering.
- Deep Learning and Neural Networks: Learn the basics of deep learning and how neural networks work in data science applications.
Video Link: Watch Now
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