Top 10 best computer courses in demand || Computer course with job guarantee

 In today's world, computer skills are essential. That's why it's important to choose the right computer course to land you a job in the future. There are many different courses available, but not all of them are created equal. In this article, we will discuss the top 10 best computer courses that will help you get a job in 2022. These courses are in demand and offer great long-term career prospects.

What is computer course?

A computer course is a type of educational training that typically focuses on teaching students how to use computers and related technology. The term can refer to both formal education courses and informal learning opportunities.

Formal computer courses are offered by many colleges and universities, and usually last for several weeks or months. These courses often culminate in a certificate or degree. In contrast, informal computer courses are typically shorter and less structured. They may be offered by community organizations, businesses, or even individual tutors.

Regardless of their format, computer courses typically cover topics such as how to use common software applications, how to troubleshoot technical problems, and how to stay safe online.

Top 10 best computer courses in demand || Computer course with job guarantee

Top 10 best computer courses in demand & Computer course with job guarantee:

- Computer Science

- Data Science

- Machine Learning

- Cloud Computing

- Cybersecurity

- Web Development

- Information Technology Management

- Database Administration

- Networking and Security

- Software Engineering

Computer Science:

Computer science is the study of computers and their uses, as well as the design and development of computer systems and applications. It encompasses a wide range of subjects, including algorithms, data structures, computer architecture, computer networks, databases, software engineering, programming languages, and human-computer interaction.

At its core, computer science is about using computers to solve problems and create new and innovative solutions. It involves the creation and use of algorithms, which are sets of instructions that tell a computer what to do in order to solve a problem. These algorithms can be used to perform tasks such as sorting data, searching for information, or making calculations.

Computer science also involves the design and development of computer systems and applications. This includes designing and building hardware components such as processors and memory, as well as creating software programs and applications that run on these systems.

These technical skills, computer scientists also need to be proficient in problem-solving and critical thinking. They must be able to analyze complex problems, identify possible solutions, and evaluate the effectiveness of those solutions.

Data Science:

Data science is a field that uses scientific methods, processes, and systems to extract knowledge and insights from structured and unstructured data. It involves the use of various techniques and tools from fields such as computer science, statistics, and information science to extract useful information from data, and to communicate and visualize the insights obtained.

The main tasks of a data scientist include:

  • Gathering and preprocessing data from various sources, such as databases, sensors, and social media platforms.
  • Exploring and analyzing data to identify patterns, trends, and relationships.
  • Building predictive models using machine learning algorithms to make data-driven decisions or predictions.
  • Communicating the results of the analysis and the insights derived from it to various stakeholders, such as business leaders, policy makers, and the general public.

Machine Learning:

Machine learning is a field of computer science that focuses on building systems that can learn from data and improve their performance over time. These systems are trained using large datasets and algorithms that enable them to learn patterns and relationships in the data. Once trained, the systems can make predictions or take actions based on new data inputs.

There are several types of machine learning, including:

  • Supervised learning: In supervised learning, the machine learning model is trained on labeled data, where the correct output is provided for each example in the training set. The model makes predictions based on this training data, and the accuracy of the predictions is evaluated using a test set.

  • Unsupervised learning: In unsupervised learning, the machine learning model is not provided with labeled training examples. Instead, it must discover the underlying patterns and relationships in the data through techniques such as clustering and dimensionality reduction.

  • Semi-supervised learning: In semi-supervised learning, the machine learning model is provided with a mixture of labeled and unlabeled data. This can be useful in cases where it is expensive or time-consuming to label a large dataset, but there are still enough labeled examples to provide the model with some guidance.

  • Reinforcement learning: In reinforcement learning, the machine learning model learns by interacting with its environment and receiving rewards or punishments for certain actions. This type of learning is commonly used in robotics and autonomous systems.

To implement machine learning algorithms, data scientists often use libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. These libraries provide a range of tools and techniques that can be used to preprocess data, train machine learning models, and evaluate their performance.

Cloud Computing:

Cloud computing is a model for delivering computing services, such as data storage, processing, networking, and software, over the internet (the "cloud"). It allows users to access and use these resources on demand, without the need to purchase and maintain expensive hardware and infrastructure.

There are several types of cloud computing services, including:

  • Infrastructure as a service (IaaS): IaaS providers offer computing infrastructure, such as servers, storage, and networking, on a pay-per-use basis. Customers can use these resources to build and run their own applications and services.

  • Platform as a service (PaaS): PaaS providers offer a platform for building, testing, and deploying applications and services. Customers can use the platform to develop and run their applications without the need to worry about the underlying infrastructure.

  • Software as a service (SaaS): SaaS providers offer software applications that users can access and use over the internet. Customers do not need to install or maintain the software on their own computers, and they can access it from any device with an internet connection.

Cloud computing offers several benefits, including:

  • Scalability: Cloud resources can be quickly and easily scaled up or down as needed, allowing users to pay for only the resources they use.

  • Elasticity: Cloud resources can be automatically allocated and deallocated based on demand, providing users with the ability to quickly respond to changing workloads.

  • Cost savings: By using cloud resources, users can avoid the upfront costs of purchasing and maintaining their own hardware and infrastructure.

  • Maintenance: Cloud providers handle the maintenance and upkeep of the underlying infrastructure, allowing users to focus on their own applications and services.


Cybersecurity is the practice of protecting computers, servers, networks, and other devices and systems from digital attacks, theft, and damage. It involves implementing various measures to prevent unauthorized access to sensitive information and to ensure the integrity, confidentiality, and availability of this information.

There are several types of cybersecurity threats, including:

  • Malware: Malware is malicious software that is designed to damage or disrupt computer systems. Examples of malware include viruses, worms, and Trojans.

  • Ransomware: Ransomware is a type of malware that encrypts a victim's files, making them inaccessible until a ransom is paid to the attackers.

  • Phishing: Phishing is a type of social engineering attack in which attackers send fake emails or messages that appear to be from legitimate sources, in an attempt to trick the victim into revealing sensitive information such as passwords or financial details.

  • Denial of service (DoS) attacks: DoS attacks involve overwhelming a targeted device or network with traffic, making it unavailable to users.

  • Man-in-the-middle (MITM) attacks: MITM attacks involve intercepting communications between two parties in order to gain access to sensitive information.

To protect against these threats, organizations and individuals can implement various cybersecurity measures, such as:

  • Antivirus software: Antivirus software is used to detect and remove malware from computer systems.

  • Firewalls: Firewalls are used to block or allow traffic to a network based on predetermined security rules.

  • Encryption: Encrypting data makes it unreadable to anyone without the correct decryption key, protecting the confidentiality of the data.

  • Two-factor authentication: Two-factor authentication requires users to provide an additional piece of information, such as a code sent to their phone, in addition to their password, to gain access to a system or account.

  • Employee training: Educating employees about cybersecurity best practices, such as how to recognize and avoid phishing attacks, can help to prevent successful attacks.

Web Development:

Web development is the process of building and maintaining websites. It involves a range of activities and disciplines, including:

  • Web design: Web design involves creating the layout, visual appearance, and branding of a website. It includes aspects such as the layout of the pages, the color scheme, and the typography.

  • Web engineering: Web engineering involves the development of the technical infrastructure of a website, including the server-side logic, the database design, and the client-side functionality.

  • Content development: Content development involves creating and managing the content that is displayed on a website, such as text, images, and videos.

  • User experience (UX) design: UX design involves designing the overall experience of using a website, including how easy it is to use and how enjoyable it is for the user.

Web development typically involves using a combination of languages and technologies, such as HTML, CSS, JavaScript, and server-side languages such as PHP or Python. It may also involve the use of databases and content management systems (CMS).

Web developers may work on the development of a single web page, a small group of pages, or an entire website. They may also be involved in the maintenance and updates of existing websites.

Information Technology Management:

Information technology (IT) management is the process of planning, organizing, and overseeing the use of technology within an organization. It involves the management of the hardware, software, and networks that are used to store, process, and transmit data and information.

The main responsibilities of IT managers include:

  • Developing and implementing technology strategies and plans: IT managers work with senior leadership to develop strategies and plans that align with the organization's business goals and objectives. These plans may include the implementation of new technologies, the integration of existing systems, and the development of custom solutions.

  • Managing IT budgets: IT managers are responsible for managing the budget for technology-related expenses, including the purchase of hardware and software, and the maintenance and support of existing systems.

  • Ensuring the security and integrity of systems: IT managers are responsible for implementing and maintaining security measures to protect the organization's systems and data from threats such as cyber attacks and data breaches.

  • Overseeing the procurement and deployment of new technologies: IT managers are involved in the procurement and deployment of new technologies, including the selection of vendors and the installation and configuration of systems.

  • Managing IT staff: IT managers are responsible for hiring, training, and supervising IT staff, and for ensuring that they have the necessary skills and resources to perform their duties effectively.

Database Administration:

Database administration is the process of designing, implementing, and maintaining the database system of an organization. A database is a collection of data that is organized in a specific way and is used to store, retrieve, and manipulate data.

The main responsibilities of database administrators (DBAs) include:

  • Designing and implementing database systems: DBAs are responsible for designing and implementing the database system that meets the needs of the organization. This includes selecting the appropriate database management system (DBMS), designing the database structure, and setting up the security and access controls.

  • Maintaining the integrity and performance of the database: DBAs are responsible for ensuring the integrity and performance of the database by performing tasks such as backup and recovery, monitoring performance, and optimizing database performance.

  • Granting and revoking access to the database: DBAs are responsible for managing access to the database, including granting and revoking access to users and ensuring that appropriate security measures are in place.

  • Managing database security: DBAs are responsible for implementing and maintaining security measures to protect the database from unauthorized access and cyber attacks.

  • Troubleshooting and resolving database issues: DBAs are responsible for troubleshooting and resolving issues that may arise with the database, such as errors, performance issues, and data corruption.

DBAs typically work with a variety of database management systems, such as Oracle, MySQL, and Microsoft SQL Server. They may also use a range of tools and technologies to manage and monitor the database, such as database monitoring software and database management frameworks.

Networking and Security: 

Networking is the practice of connecting computers, devices, and other systems together to facilitate the exchange of data and information. It involves the use of various technologies and protocols to create networks, such as local area networks (LANs), wide area networks (WANs), and the internet.

Security is a critical aspect of networking, as it involves protecting networks and the devices and systems connected to them from threats such as cyber attacks, data breaches, and unauthorized access.

In a networking and security course, students may learn about:

  • Networking technologies and protocols: Students may learn about various networking technologies and protocols, such as Ethernet, Wi-Fi, TCP/IP, and FTP, and how they are used to create and maintain networks.

  • Network architecture and design: Students may learn about different types of network architectures, such as peer-to-peer and client-server, and how to design and implement these architectures.

  • Network security: Students may learn about various security measures that can be used to protect networks and the devices and systems connected to them, such as firewalls, intrusion detection systems, and encryption.

  • Network management: Students may learn about the tools and techniques that are used to manage and monitor networks, including network monitoring software, performance analysis, and capacity planning.

  • Wireless networking: Students may learn about the technologies and protocols that are used to create and maintain wireless networks, such as Wi-Fi and cellular networks.

  • Network troubleshooting: Students may learn about the tools and techniques that are used to troubleshoot and resolve issues that may arise in networks, such as connectivity problems and performance issues.

Software Engineering: 

Software engineering  is the process of designing, developing, and maintaining software systems. It involves the use of various principles, methods, and tools to create high-quality software that is reliable, efficient, and easy to maintain.

In a software engineering course, students may learn about:

  • Software design: Students may learn about the principles and techniques that are used to design software systems, including object-oriented design, design patterns, and architecture.

  • Programming languages: Students may learn about various programming languages, such as Python, Java, and C++, and how to use these languages to develop software.

  • Data structures and algorithms: Students may learn about different data structures, such as arrays, lists, and trees, and algorithms, such as sorting and searching algorithms, and how to use these to solve problems.

  • Software testing and quality assurance: Students may learn about various testing techniques, such as unit testing, integration testing, and acceptance testing, and how to ensure the quality of software through processes such as code review and debugging.

  • Software development methodologies: Students may learn about different software development methodologies, such as Agile, Scrum, and Waterfall, and how to apply these methodologies to the software development process.

  • Software project management: Students may learn about the principles and techniques that are used to manage software projects, including project planning, estimation, and risk management.

Requirements before learn computer courses:

- Basic knowledge of computer and internet. 

- No specific requirement, but recommended having at least basic math skills. 

- Be self-disciplined to study from home without attending physical class. 

- Find a computer courses that match your learning style and interest.

- Choose the best computer courses from trusted provider. 

- Check the job market to see which computer courses in demand. 

- Set your goal, whether you want to learn for short terms or long terms. 

- Consider your budget before decide to sign up for a computer courses. 

- Make sure you have enough time to commit for the courses. 

- Do some research about the provider, read the reviews and ask around. 

- Choose computer courses that offer job guarantee or placement assistance. 

These are just a few of the many computer courses available. With so many options to choose from, you're sure to find one that's right for you! 

Now that you know what to look for in a computer course, it's time to get started on your learning journey! Best of luck!


Q: What are the best computer courses for beginners? 

A: If you're just starting out, we recommend our Introduction to Computing course. This course will give you a basic understanding of computers and how they work.

Q: What are the best computer courses for jobseekers? 

A: If you're looking to improve your employability, we recommend our Cloud Computing or Cybersecurity courses. These courses will teach you in-demand skills that employers are looking for.

Q: What are the best computer courses for students? 

A: If you're a student, we recommend our Web Development or Software Engineering courses. These courses will give you the skills you need to succeed in your studies and future career.

Q: What are the best computer courses for seniors? 

A: If you're a senior, we recommend our Introduction to Computing or iPad Basics courses. These courses will help you get started with computing and keep up with the latest technology.

Q: Do I need any prior experience to take a computer course? 

A: No, you don't need any prior experience. However, we do recommend that you have some basic math skills. 

Q: How long do computer courses take to complete? 

A: Computer courses vary in length, but most of them can be completed within a few weeks or months. 

Q: Do computer courses expire? 

A: No, computer courses don't expire. Once you've completed a course, you'll have the knowledge and skills for life! 

Q: How much do computer courses cost? 

A: Computer courses vary in price, but most of them are very affordable. You can find courses for as little as $50! 

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