Top 10 Online Courses to Learn about Computer Science

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  1. Reading, writing, and arithmetic were the foundations of education in the previous millennium; now it is reading, writing, and computers. Every student's education should include learning to program, not just in the sciences and engineering, but also in the arts, social sciences, and humanities. It is the first step in grasping the nature of computer science's unquestionable impact on the modern world, beyond direct applications.


    The first part of the book Computer Science: An Interdisciplinary Approach is taught in this course (the second half is covered in Coursera course Computer Science: Algorithms, Theory, and Machines). Their goal is to teach programming in a scientific environment to individuals who need or desire to learn it.


    They start with the fundamentals of programming, such as variables, conditionals, loops, arrays, and I/O. Then They will move on to functions, where they will learn about recursion, modular programming, and code reuse. Then they will go over an updated overview of object-oriented programming.

    They teach basic computational problem-solving abilities using the Java programming language, which are useful in many modern computing situations. Although mastery of Java is a goal, they concentrate on core programming concepts rather than Java. This course includes all of the features for free. There is no certificate provided upon completion.


    This course offers:

    • Flexible deadlines: Reset deadlines in accordance to your schedule.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 88 hours to complete
    • Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

    Coursera Rating: 4.8/5

    Enroll here: https://www.coursera.org/learn/cs-programming-java

    https://www.princeton.edu/
    https://www.princeton.edu/
    https://www.princeton.edu/
    https://www.princeton.edu/

  2. As one of the Best Online Courses to Learn Computer Science, The subjects covered in this specialization range from basic computing principles to the mathematical underpinnings required for computer science. Fundamental computer ideas will be taught, which can be applied to any software or computer system. At an introductory level, you will also gain the practical skills needed to develop interactive, graphical programs. The numerical mathematics component will offer you with numerical and computational tools that are necessary for computer science problem-solving and modeling.


    This specialization includes a variety of activities that allow students to practice and develop their programming skills in a fun and engaging way. Learners will master the principles of computer science by using interactive approaches to solve mathematical puzzles, being a detective and solving crimes in an interactive sleuth application, and applying computer science concepts to everyday computer problems.


    This course offers:

    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 4 months to complete:Suggested pace of 5 hour/week
    • Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish

    Coursera Rating: 4.3/5

    Enroll here: https://www.coursera.org/specializations/introduction-computer-science-programming

    www.london.ac.uk
    www.london.ac.uk
    www.london.ac.uk
    www.london.ac.uk
  3. Python for Everybody Specialization is one of the Best Online Courses to Learn Computer Science. This Specialization expands on the popularity of the Python for Everyone course and uses the Python programming language to present essential programming concepts such as data structures, networked application program interfaces, and databases. In the Capstone Project, you'll design and build your own data retrieval, processing, and visualization apps using the technologies you've learned during the Specialization.


    This course aims to educate everyone the fundamentals of computer programming using Python. They go over the fundamentals of building a program in Python from a set of simple instructions. There are no prerequisites for this course, and it avoids everything except the most basic mathematics. Anyone with a basic understanding of computers should be able to complete this course. The first five chapters of the textbook "Python for Everyone" will be covered in this course. After completing this course, students will be prepared to go on to more complex programming courses. Python 3 is covered in this course.


    This course offers:


    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 8 months to complete:Suggested pace of 3 hour/week
    • Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, Spanish


    Coursera Rating: 4.8/5

    Enroll here: https://www.coursera.org/specializations/python#courses

    https://umich.edu/
    https://umich.edu/
    https://umich.edu/
    https://umich.edu/
  4. Prepare for a job in the high-growth industry of information technology with no prior experience or degree. Get Google-designed professional training and put yourself on the fast track to a well-paid job. There are 400,000 IT job vacancies in the United States, with a typical entry-level income of $52,000.

    Learn in-demand skills that will prepare you for an entry-level job over the course of five courses. After completing the course, you will be able to apply for positions with Google and over 150 other companies in the United States, including Walmart, Best Buy, and Astreya. Within 6 months of completing the certificate, 75% of Google Professional Certificate graduates in the United States report an improvement in their career trajectory (e.g. new job or career, promotion or raise).


    This curriculum also prepares you for the CompTIA A+ tests, the industry standard certification for IT, and when you complete both, you'll get a dual credential. This program is ACE® recognized, and you can earn up to 12 college credits, which is the equivalent of four associate degree-level courses, if you complete it. Check out the Google IT Automation with Python Professional Certificate if you want to strengthen your IT roots.


    This course offers:


    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 6 months to complete:Suggested pace of 1 hour/week
    • Subtitles: English


    Coursera Rating: 4.8/5
    Enroll here:https://www.coursera.org/professional-certificates/google-it-support

    https://www.inc.com/
    https://www.inc.com/
    http://venturesafrica.com/
    http://venturesafrica.com/
  5. "I don't comprehend things unless I try to write them," declared Donald Knuth, a computer science superstar. They also feel that programming an algorithm is the best method to learn it. However, despite the fact that many good books and online courses on algorithms succeed in introducing algorithmic notions, they have yet to teach you how to apply algorithms, the critical computer science ability that you will need to master at your next job interview.


    They attempted to fill this void by assembling a diversified faculty that included world-renowned experts in theoretical and practical algorithms from UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) as well as a former Google software engineer (Neil Rhodes). This Specialization stands out among other good MOOCs on algorithms established by theoretical computer scientists because of its unique blend of abilities.


    This Specialization, one of the best Online Courses to Learn Computer Science, combines algorithmic theory, practice, and applications with software engineering, whereas these MOOCs focus on theory. You'll study algorithms by solving approximately 100 coding challenges in your preferred programming language. No other online Algorithms course comes close to providing you with as many programming tasks (and riddles!) as this one does. They spent over 3000 hours creating challenges as an alternative to the typical multiple choice questions found in MOOCs.


    This course offers:


    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 6 months to complete:Suggested pace of 1 hour/week
    • Subtitles: English


    Coursera Rating: 4.6/5
    Enroll here: https://www.coursera.org/specializations/data-structures-algorithms

    https://www.ucsd.edu/
    https://www.ucsd.edu/
    https://www.ucsd.edu/
    https://www.ucsd.edu/
  6. Rice University is consistently listed among the top 20 universities in the United States and among the top 100 universities worldwide. Rice University is home to the Baker Institute for Public Policy and features highly regarded schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences, and Social Sciences.


    This Specialization - Fundamentals of Computing Specialization offered by Rice University covers most of what first-year Computer Science students at Rice University learn, and it is taught by world-class faculty who teach master's and PhD programs. Students learn advanced Python programming abilities from the ground up and apply them to more than 20 entertaining projects. The Specialization culminates with a Capstone exam that allows students to demonstrate the breadth of knowledge gained throughout the program. You should prepare for advanced courses in computer science and learn to think and program like a computer scientist.


    This course offers:


    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 7 months to complete:Suggested pace of 4 hour/week
    • Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, Spanish, Turkish, Romanian, Greek, Telugu


    Coursera Rating: 4.8/5
    Enroll here:https://www.coursera.org/specializations/computer-fundamentals

    https://www.rice.edu/academics
    https://www.rice.edu/academics
    https://www.rice.edu/academics
    https://www.rice.edu/academics
  7. This Professional Certificate will provide you with all of the necessary skills and knowledge to begin your career as a Full-Stack Cloud Native Application Developer. You'll learn how to create your own cloud-based applications and experience working with the technology that support them with the help of IBM specialists. This program is made up of ten courses that include plenty of instructional content as well as hands-on activities and projects to help you refine your abilities and build your portfolio.

    This program does not require any prior programming skills or knowledge of the Cloud.

    You'll learn how to design, deploy, test, run, and manage Full Stack Cloud Native applications using the tools and technologies that successful software engineers use, giving you the practical skills to start a new career in a high-demand field.

    Cloud foundations, HTML, CSS, JavaScript, GitHub, Node.js, React, Cloud Native practices, DevOps, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Python programming, Databases, SQL, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, Serverless computing, and more are among the topics covered in this program.

    You will have developed many applications utilizing front-end and back-end technologies and deployed them on a cloud platform using Cloud Native techniques after completing all of the program's modules, including the capstone project.


    This course offers:

    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 14 months to complete:Suggested pace of 3 hour/week
    • Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish, Korean

    Coursera Rating: 4.5/5
    Enroll here: https://www.coursera.org/professional-certificates/ibm-full-stack-cloud-developer

    https://www.bizjournals.com/denver
    https://www.bizjournals.com/denver
    https://askwiki.blogspot.com
    https://askwiki.blogspot.com
  8. With this introduction to Java, one of the most popular programming languages and the backbone of the Android operating system, you may take the first step toward a career in software development. This Specialization is designed for novices and will teach you essential programming ideas as well as how to construct programs to tackle difficult issues. You'll also learn the fundamental skills required of a software engineer to tackle real-world challenges, such as devising algorithms and testing and debugging systems.


    This Specialization, which is based on projects, will help you build a portfolio of work to demonstrate your new programming skills. You will construct a recommender engine similar to those used by Netflix or Amazon for the capstone. An interactive webpage that applies filters to photographs, an analysis of CSV data files, an encryption program, and a predictive text generator will all be included in your portfolio.


    This course offers:

    • Flexible Schedule: Set and maintain flexible deadlines.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 5 months to complete:Suggested pace of 4 hour/week
    • Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish, Korean

    Coursera Rating: 4.6/5
    Enroll here: https://www.coursera.org/specializations/java-programming

    https://duke.edu/
    https://duke.edu/
    https://duke.edu/
    https://duke.edu/
  9. Computational thinking is the systematic approach to a problem and the creation and expression of a solution that can be carried out by a computer. However, you don't have to be a computer scientist to think like one! In fact, students from all fields of study are encouraged to enroll in this course. Many quantitative and data-centric problems may be solved using computational thinking, and knowing how to do so will provide you with a foundation for tackling challenges with real-world, social implications.

    The pillars of computational thinking, how computer scientists build and analyze algorithms, and how answers might be realized on a computer using the Python programming language are all covered in this course. By the end of the course, you'll be able to write a small Python program to develop an algorithm and express it to the computer.

    This course will introduce you to people from various professions who tackle challenges using computational thinking. You'll be part of a unique community of analytical thinkers, and you'll be encouraged to think about how computational thinking might help people.


    This course offers:

    • Flexible deadlines: Reset deadlines in accordance to your schedule.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 18 hours to complete
    • Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

    Coursera Rating: 4.7/5
    Enroll here: https://www.coursera.org/learn/computational-thinking-problem-solving

    https://www.upenn.edu/
    https://www.upenn.edu/
    https://www.upenn.edu/
    https://www.upenn.edu/
  10. Reading, writing, and arithmetic were the foundations of education in the previous millennium; now it is reading, writing, and computers. Every student's education should include learning to program, not just in the sciences and engineering, but also in the arts, social sciences, and humanities. It is the first step in grasping the nature of computer science's unquestionable impact on the modern world, beyond direct applications. The first part of our book Computer Science: An Interdisciplinary Approach is taught in this course (the second half is covered in Coursera course Computer Science: Algorithms, Theory, and Machines). Their goal is to teach programming in a scientific environment to individuals who need or desire to learn it.

    Students start with the fundamentals of programming, such as variables, conditionals, loops, arrays, and I/O. Then students move on to functions, where students learn about recursion, modular programming, and code reuse. Then students go over an updated overview of object-oriented programming.

    They teach basic computational problem-solving abilities using the Java programming language, which are useful in many modern computing situations. Although mastery of Java is a goal, we concentrate on core programming concepts rather than Java. This course includes all of the features for free. There is no certificate provided upon completion.


    This course offers:


    • Flexible deadlines: Reset deadlines in accordance to your schedule.
    • Certificate : Earn a Certificate upon completion
    • 100% online
    • Beginner Level
    • Approx. 88 hours to complete
    • Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

    Coursera Rating: 4.7/5
    Enroll here:https://www.coursera.org/learn/cs-programming-java

    https://www.princeton.edu/
    https://www.princeton.edu/
    https://www.princeton.edu/
    https://www.princeton.edu/




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