30 Online Courses for Computer Science (Learn Programming, Javascript etc)

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What is Computer Science?

Computer science is simply put, the study of computational systems in general.

Computer scientists focus mainly on software systems and software with emphasis on development, design, theory and application.

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The major areas covered in computer science include: computer systems, artificial intelligence, security, networks, data-based systems, numerical analysis, programming languages, computing theories, bioinformatics, software engineering, graphics and vision.

Even though having background knowledge on programming is vital in studying computer science, it is not all that there is. Want to know more? You can leverage on free online courses that are available on different online platforms. Might even go further to get an online certification in the field of Computer Science.

Considering studying a course in Computer science will not be a bad idea. As a matter of fact, it will position you towards pursuing a fulfilling career in the IT world.

Deciding to have a bachelor’s degree or master’s degree in Computer science is one of the best decisions you will forever live to enjoy for the rest of your life because (it is no news anymore that) we are now in the digital age era. As such if you are going to be relevant in this era, it will demand that you passionately pursuit a certification in any computer science majors.

Many modern industries rely on software programs and data analysis for their smooth running. The advent of technology has made things a lot easier compared to how it was in times past. The world has become faster, better and connected. This did not just happen within the twinkle of an eyes. All thanks to all the Computer scientists and IT experts we have scattered all over the world who transfer their technology passion into creating programs and gadgets that help human activities.

High Salaries

One of the career paths that provides is very palatable and attracts much income to experts in the field is computer science. An average bachelor degree holder in Computer Science makes nothing less than $63,017 annually. This was revealed by statistics published by a team of career development experts who conducted a survey in 2018 about the future of jobs.

Limitless job opportunities

The opportunities available for everyone who studies computer science courses are limitless especially in this computer age that we live in. according to a publication released by NSE, Computer Science majors is one of the most highly sought-after prospects in the job market. Statistics reveal that over 60% job applicants with majors in computer science eventually get hired almost immediately and receive preferential treatment compared to their counterparts from other fields.

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Job Flexibility

Computer science graduates fit into almost any sector you can think of. They are needed in almost every sphere of human endeavor. this is one of the major privileges that computer science majors enjoy. Not every field of study enjoys this level of job flexibility. Computer science courses are designed to instill theoretical and analytical skills in the learners that position them to fit into any profession professionally ranging from the financial world to engineering to finance to the healthcare sector.

Computer science graduates are problem solvers

As a computer science graduate your joy and fulfilment comes in seeing that you have applied all the relevant skills you learnt in making the world a better place. It has been recorded that most of the people who made significant contributions in the field of medicine, banking & finance, engineering, arts and entertainment, education, and security all had backgrounds in computer science. This is just a hand full of the key areas where the impact of computer science has been felt. Your fulfilment and satisfaction in life is tied to the degree to which you effectively use what you learnt in solving practical human problems.

Whether you like it or not, the Digital age that we live in has skyrocketed the number of Computer science major experts that is needed. Computer scientists are needed to design, theorize, and apply hardware and software for the programs that are used in running all the main gadgets used to make life better.

The rate at which the world is experiencing technological advancement reveals that there is high demand and need for intelligent tech gurus who will develop, create, maintain, and manage gadgets and codes. According to a statistic revealed by the US Bureau of Statistics, there will be a 30% increase in the number of Computer Science jobs by 2028

Convinced?

Now let’s get to the meat of the topic!

But first…

WATCH: 12 Best Computer Skills Employers Are Looking for – How to Use it to get a Job

Let’s begin…

30 FREE ONLINE COURSES FOR COMPUTER SCIENCE

This is one course I strongly recommend that every computer science student should take. Artificial Intelligence is one of the major drivers of the future. The course is designed to last for 5 weeks and will require 5-10 hours of your time weekly.  The main goal of this course is to help students understand fully the rudiments of Artificial Intelligence. By the end of taking this course, you will be able to fully define what AI truly means and the various methods and strategies you need to take in order to make AI possible. This is a free online course that you should leverage on.

Machine learning is another major driver of the future. It is the science of putting computers together to work expressly without programming or coding. The aim of this course is to expose learners to the prospects and opportunities available in the world of machine learning and how it can be used to further transform the activities of man. This course covers the introductory aspect of the subject matter such as parametric/non-parametric algorithms (supervised learning), unsupervised learning (dimensionality, reduction, deep learning) and best practices in machine learning.

The main goal of this course is to help you on the main ways you can use to apply learning algorithms in building smart robots and applying them in other areas of human life and activities

This course is the second part of a two-course series specifically designed to walk you through understanding computer science and programming using Python. The other part of the course is Introduction to Computational thinking and Data Science. These two courses will help you understand the basic principles of programming and computer science even without you having a prior knowledge and experience of the duo. This course is a building stone, ladder and foundation that will better position you to understanding more advanced computer science courses.  So many individuals take this course as a formal certification for their journey into the computer science sphere. As such you will enjoy every bit of this course.

The course CS50’s Introduction to Computer Science is Harvard University’s online introductory course to a comprehensive understanding of programming and computer science to learners without any background knowledge and experience on the subject matter. The key areas covered in the course include: data structures, algorithms, encapsulation, software engineering, security, resource management, web development and abstraction. The languages include: SQL, C++, Python, HTML, CSS and JavaScript plus. This is an excellent and interesting course you can’t afford to miss. The CS50 campus version of this course is the largest course taken in Harvard University. This course is a self-paced course, you can run it based on your convenience and schedule.

This course was specifically designed to help computer science students and programmers with the relevant knowledge and understanding they need to know about data structures and algorithms. The main emphasis of this course is on scientific performance analysis, application and Java implementation. the course is divided into two parts. The first part covers sorting, search algorithms, and basic data structures. The second part on the other hand focuses on string-processing algorithms and graph.

The whole concept of Cryptography is a key tool that is used for protecting all the information in the computer system. It is very vital that every student of Computer science have a sound background understanding on the principles and concept of Cryptography. This course will open your understanding on the inner working of how cryptographic systems work and how they are applied in our everyday life.  The first part of the course deals with practical ways information can be shared securely between two computer systems without threat of hacking. The second part of the course deals with the techniques to be adopted in establishing secret keys between two parties who share common interest.

This course is a self-paced course designed to last for a time frame of 4 weeks. It covers key areas with respect to sorting, sear5ching, divide, conquer, and randomized algorithms. The course is divided into 4 parts. The first part deals with the basics of Divide and Conquer and also the master methods used in analyzing divide and conquer algorithms. The last part of the course deals with graphs, cuts, contraction algorithms and Quicksort algorithms

This course gives you a background on the main elements of functional programming. You will learn the different ways of applying it to your day to day programming activities. The course will further open you up to developing a solid ground for reasoning about the key concepts and principles surrounding functional programming. This course is one of the simplest to understand in this series because it provides the most reliable hands on introduction to key concepts of programming and how they can be used in executing tasks.

This course is the first part of a two-course series. it introduces learners to the principles of Deep learning: the foundational approach to developing artificial intelligence algorithms. The course focuses on the major components of deep learning shedding more light on what it is, how it operates and creating codes that are responsible for building algorithms such as variational autoencoders, deep convolutional networks, recurrent neutral networks, and generative adversarial networks.

The course does not only focus on helping you understand what deep learning is but to walk you through the various ways of applying them in creating applications.

This course was specially designed to help you understand and appreciate the internet better. This is achieved by walking you through the various historical part. By the end of taking this course, you will be well grounded and well positioned not to take the internet and technology for granted. You will have a better understanding on the key role internet and technology plays in solving some key problems the world is currently facing. This course will make you wiser when it comes to relating with technological issues.

With this course you will get to be more conversant about the inner working of Linux in relation to the command line and graphical interface. With this working knowledge, you are guaranteed of working anywhere around the world because Linux is everywhere and it is responsible for the smooth running of the mainframes of over three billion android devices. Taking this course will make you a hot cake. A research that was conducted in 2018 revealed that over 85% of hiring jobs give more preference to Linux candidates with a Linux certification. By the end of taking this course, you will have the ability to navigate any Linux system.

This is a free self-pace course designed to last for 12 weeks. It will require about 5-10 hours of your time weekly. The goal of this course is to introduce you to basic techniques and principles underlying the systematic design of computer systems. This course focuses on the overall results from computation and covers the following key areas such as Statistical & Decision and Reasoning & Learning. The course will train you on how to build in autonomous agents in computer software and program them to effectively make decisions in adversarial settings and in stochastic.

Artificial intelligence is a fast-growing field that is sweeping across almost all sectors of human endeavor. Taking this course, opens you to all the opportunities that are available. You will get to learn about the modern principles of Artificial Intelligence, as well some of the 21st century application of Artificial Intelligence such as probabilistic reasoning, computer vision, natural language processing and machine learning. This will equip you with the level of experience needed to work in key areas like medical diagnosis, robotics, and quantum science.

This is a very practical course by the end of taking this course, you should be able to do the following:

  • Tentatively describe the main differences that exists between clustering, regression and classification.
  • Identify the major application of machine learning in our world today to solve specific problems.
  • Pick point the most suitable machine learning task that can be used to achieve a desired outcome.
  • Data representation in form of features as input for machine learning models.
  • Apply the techniques learnt in this course in python.
  • Intelligently assess the quality of the machine learning models in terms of the metric errors for each task.

PROBABILISTIC GRAPHICAL MODEL 1: REPRESENTATION

PGMS (Probabilistic Graphical Models) are highly effective frameworks that are responsible for encoding probability variables over complex domains. Probability distributions are subsets of computer science and statistics. They rely solely on concepts such as machine learning, graph algorithms, and probability theory. They form the basis upon which machine learning concepts and problems are solved.

The course is part of a three-course series that is targeted at helping learners understand the use of directed graph and undirected graph. You will get to understand more about the theoretical characteristics of this course as well as the experimental dimension.

this course will open you up to fully understanding what Bitcoin is all about and how it fully works on a technical level. Key questions and issues concerning Bitcoin are addressed in this course. you will get to know how Bitcoin works, what makes it unique and different from all other types of currencies, the various ways to secure Bitcoins, the various ways Bitcoins can be regulated, how to determine the price of Bitcoins and the future of Bitcoins in influencing all activities of mankind.

Upon completing this course, you will be fully grounded on the entire concept behind Bitcoin and cryptocurrencies.

The cyber world is full of so much insecurity and threat from hackers. However, in modern times, there are powerful systems that have been generated to completely solve the issue of hackers. The only challenge is that not too many individuals have the required skill and knowledge to take advantage of these security features to secure the cyber space.

This is the goal of this course. to empower you with the necessary skills and knowledge that you will need to fully understand the principles of web cybersecurity. The course provides the various counteractive measures that should be implemented by every web developer. In a nut shell, this course exposes you to all the skills that will help you build secured applications.

This course was designed to cover 4 key areas: context-free grammars, turning machines and decidability, theory of intractability and Finite automata & regular expressions. This is one of the main key areas that people use in practice. At the end of taking this course you will be able to manipulate and navigate your way through undecidable problems and intractable problems that computer cannot solve.

This course is part of Stanford’s university Data Analyst Nanodegree. Machine learning has grown to be the focal point of the most relevant careers in Data Analyst. As the world advances in technology, data will be one of the major drivers of the future that will be used to gain more understanding and insights on the projections of the future. This course will help you with the relevant information you need to understanding and interpreting data through the lens of Machine Learning. You will get to learn about the major features that can be used to describe and represent data.

The course computer science 101 is designed to walk you through the fundamentals of Computer Science for learners who do not have a background knowledge on Computer. Computers can be very complicated especially if you never had an idea on how it works. This course concisely explains in details every single thing you need to know about computers in general. You will also be exposed to a little bit of computer coding. The course focuses on helping you understand what computer is, what software is, a sound understanding of what hardware is, and introduction to internet. You do not need to have a background experience to understand this course. this course was originally designed for novices.

This is an introductory course to the world of programming. You will have a background knowledge and understanding of the entire concept behind coding. The concept of coding is all about coming to a full understanding of the mathematical manipulations surrounding the digital world of software. This course focuses on the programming strategies and techniques used in computer natural systems. Topics covered range from physics concepts to basic mathematics to advanced simulations of complex systems. Key subjects covered in this course include: trigonometry, fractals, cellular automata, genetic algorithms, self-organization, and physic simulation

This free online course will help you understand the whole concept of online security and the various strategies you can use to protect your digital life. You will be taught how to be very sensitive to be able to detect possible threats that can harm your digital life and the various strategies you can adopt to protect yourself or reduce the occurrences of such threats. With this course, you will gain more wisdom on online safety and you will be introduced more to concepts such as viruses, trojans, malware, cryptography, network security, risk management and identity theft.

The goal of this course is to bring you to a sound understanding of the role and importance of Software product management. It concisely provides a general background overview of the goals, structure, specialization of the entire concept of software product management. A comprehensive explanation of the requirements, planning, monitoring and value process to be adopted in producing better and efficient computer software is given in this course.

The issue of cybersecurity has become a matter of concern. As such there is need for more experts in this field who will come up with the ways in which this issue can be trashed effectively. This course is an introductory course to the field of Cybersecurity and Computing Security. You will be exposed extensively to the various key branches of Computing Security. You will also be well grounded on the key Cybersecurity concepts, problems and resources used in tackling the problems around the computing security world. You will have the opportunity to learn the key techniques in protecting networks, infrastructures and systems.

Machine Learning has many widespread applications in many human activities. Machine learning is used when searching for information on the web, it is used in placing ads, it is applied in the area of credit scoring and stock trading. The application of Machine learning is so vast and need not to be over emphasized. This course is a Data science Course that introduces the blend of algorithms and Machine Learning. Upon taking this course, you will have the working understanding and principles of Machine Learning and the practical ways it can be used in solving problems using predictive analytics. You will also have a perfect understanding as to why algorithms play a major role in Data Analysis.

This course consists of two main parts. This first part focuses on developing programming skills in you and leveraging on your background understanding of the Interactive Programming In Python Course to further expound your understanding of computer computing. This course focuses on the programming aspect of the class unveiling to you coding standards and testing. Another key area of this course is the mathematical segment which focuses more on combinatorics and probability. At the end of taking this course you will be able to write small programs in python using programmed constructs like dictionaries and lists.

This is one of the major programming courses that every student of Computer Science must be conversant with. This course is comprehensively explained using a unique approach. The goal of this course is to help learners to perfect on learning and understanding systematic programming methods instead of programming language. The unique approach used in explaining this course will help awaken your level of creativity so that you will have the capacity and ability to program in any language. by the end of this course, you should be able to write/develop programs, produce programs that can be easily modified later on and you should be able to make the programs you develop more effective and reliable by coming up with relevant programming tests that will form the core of programming processes.

This course provides an introductory background to the concept of Computer networking with much emphasis on the internet. The main focus of the course is providing comprehensive explanations on how the internet works as a whole with emphasis on the inner working of the internet, the way and manner bits are modulated on wireless and the application protocols used (HTTP). There is a section that explains expressly the principles of network protocols and the systems of designing networks. You will also have a perfect understanding on how to interpret Internet Protocol Specifications (RFCs). Many of the concepts regarding the new developments in the field of computing like DNS security is well discussed in this course.

This course was specially designed for all those who sincerely want to learn how to program computer but have np background knowledge or experience. Programming a computer system is not an easy task, but this course has simplified the whole understanding process. A technical approach was given to this course to ensure that every student understand every bit of the course. You will learn about the fundamentals of programming. The main topics covered in this course include: JavaScript, logical thinking. Node/NPM basics, problem solving, printing/output, strings, and loops. At the end of taking this course you should have a better understanding of the concept of programming.

This course is the foundational course that helps you understand the fundamentals of Algorithm Analysis. This course was designed to help you master the art of becoming a sound and excellent programmer, understand the core basis of Sorting Algorithms. Youwill also have the ability to compare the different types of Algorithms.

If you fall into the category of individuals who sincerely want to be a great programmer, then this course will walk you through all the necessary procedures that will make you one. The course is designed specifically for all those you want to learn about the fundamentals of Computer Science theory.

The beauty about this course is that you do not need to have a background knowledge to understand the principles that are shared in this course.

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