Free Courses on Programming, Software Development and Computer Science

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Free Courses on Programming, Software Development and Computer Science

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Many free programming and computer science courses are available online. Learning programming, software development, computer science, and information technology can be a rewarding experience, but it can also be challenging. These fields are constantly evolving, and there is a lot to learn. However, there are many resources available to help you learn, including freely available online courses.

If you are interested in learning programming, software development, computer science, or information technology, I encourage you to explore the many freely available online courses that are available below in this post. These courses can be a great way to start your learning journey or to supplement your existing knowledge. A wealth of high-quality free courses are available on a variety of platforms, covering a wide range of topics in these fields.

Why take free online courses?

There are many benefits to taking free online courses in these fields, including:

  • Learn new skills in demand. The skills taught in these courses are in high demand in the job market. By taking these courses, you can make yourself more marketable to employers and increase your earning potential. You can also create a job portfolio to demonstrate to potential employers your abilities.
  • Prepare for a career change. If you are interested in changing careers to programming, software development, computer science, or IT, taking these courses can help you prepare for your new career. And you can make connections with other students and professionals in your line of work.
  • Accessibility: Free online courses are available to anyone with an internet connection, regardless of their income or location. This makes them a great option for people who want to learn new skills but can’t afford to attend traditional college or university classes.
  • Flexibility: Free online courses are typically self-paced, so you can learn at your own convenience and on your own schedule. This is ideal for busy people who don’t have the time to commit to a traditional class schedule.
  • Variety: There are a wide variety of free online courses available in programming, software development, computer science, and information technology. This means that you can find courses that match your interests and learning style.
  • Advance your career. Many of these courses are designed to help you advance your career in programming, software development, computer science, or IT. They can teach you the skills you need to move into a new role or get a promotion.
  • Save money. Freely available online courses are much more affordable than traditional classroom-based courses. This is a great option for people who are on a budget.

Tips for getting the most out of free educational resources

Once you’ve chosen a free online course, here are a few tips to help you make the most of it:

  • Set realistic goals: Don’t try to do too much too soon. Set realistic goals for yourself and break down the course material into manageable chunks.
  • Be disciplined: It’s important to be disciplined and set aside time each week to study. Even if it’s just for 30 minutes, it’s important to make regular progress.
  • Take notes: As you’re going through the course material, take notes to help you remember what you’ve learned. You can also use your notes to review the material before quizzes and exams.
  • Ask questions: If you don’t understand something, don’t be afraid to ask questions. Most online courses have a discussion forum where you can ask questions and get help from other students and the instructor.
  • Complete the assignments: It’s important to complete all of the assignments in the course, even if they’re not required. This will help you solidify your understanding of the material and practice your skills.

Free Programming and Computer Science Courses from Edx.com:

Free Programming and Computer Science Courses from Coursera.org

Freecodecamp.org Developer Courses

Free Technology Courses from Alison.com

More Free Online Programming and Computer Science Courses

  • Introduction To Algorithms from MIT: This course covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. Course videos are here.
  • Algorithm Design and Analysis: The purpose of this undergraduate course is to introduce fundamental techniques and viewpoints for the design and the analysis of efficient computer algorithms, and to study important specific randomized and deterministic algorithms.
  • Algorithms, Part I: This course covers the essential information to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms.
  • Algorithms, Part II: This is Part II course covers algorithms and data structures and focuses on graph- and string-processing algorithms.
  • Google’s Python Class: This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding.
  • Introduction to Python, Data Science & Computational Thinking from MIT: Intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems.
  • 6.851 Advanced Data Structures from MIT: Data structures play a central role in modern computer science and are essential building blocks in obtaining efficient algorithms.
  • CS106A – Programming Methodology from Stanford University: Introductory programming course, focused on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Course videos are here.
  • CS106B – Programming Abstractions from Stanford University: This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language. Course videos are here.
  • CS107 – Programming Paradigms from Stanford University: Covers advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms. Course videos are here.
  • Introduction To Electrical Engineering And Computer Science I from MIT: This course provides an integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots.
  • Machine Learning Crash Course: Google’s fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
  • CS229 – Machine Learning from Stanford University: This course provides a broad introduction to machine learning and statistical pattern recognition. Course videos are here.
  • CS223A – Introduction to Robotics from Stanford University: Introduces you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. Course videos are here.
  • Artificial Intelligence from MIT: This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence programming.

– love learning -your best ed lessons guide, Scott

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