Best MOOC Options for Beginner Programmers: Expert Recommendations

Best MOOC Options for Beginner Programmers: Expert Recommendations

As a beginner programmer, choosing the right online course can make all the difference in building a strong foundation. This article highlights top MOOCs for beginners, focusing on languages like Python and MATLAB, and offers expert advice on course selection.

Introduction to Programming with Python

When it comes to choosing a first programming language, Python stands out as a highly recommended option. It is user-friendly, versatile, and widely used in various fields. Two prominent MOOCs that focus on Python are:

Introduction to Computer Science and Programming Using Python from MITx, offered through edX. This course is currently running and is a great starting point for beginners. It leads naturally into more advanced topics in: Introduction to Computational Thinking and Data Science. This course offers a comprehensive introduction to computational thinking and data analysis, complementing the Python knowledge gained in the first course.

You can enroll in these courses and explore the material at your own pace, ensuring a solid foundation in Python programming. However, be aware that the course may start again in the latter part of this month (May 2017 for the current edition), so start exploring the current material now.

While MATLAB is a powerful tool for numerical computing and is frequently used in fields like Machine Learning, it is often recommended as a second language. Machine Learning - Stanford University, Coursera (described in more detail below) is a great example of a course that utilizes MATLAB, along with calculus and linear algebra, as prerequisites.

Comprehensive Introduction to Computer Science

Introduction to Computer Science by HarvardX, offered through edX, is another excellent choice for beginners. This course provides a robust introduction to computer science, covering multiple programming languages, including C, Python, SQL, and Java. Some key features of this course include:

Intensive problem sets that are designed to be challenging. Completing even a portion of these problem sets can be a significant accomplishment and will give you a deeper understanding of algorithms and problem-solving techniques. A strong introduction to Machine Learning, providing insight into the field and appealing to students interested in artificial intelligence and data analysis. A well-structured curriculum that helps develop self-learning skills, which are crucial for programmers.

After completing the course, participants are required to submit a project. This project is a valuable opportunity to apply the knowledge gained throughout the course and demonstrate practical skills. The course also benefits from a vibrant community of learners and experts who are always willing to assist, further enhancing the learning experience.

Additional MOOC Recommendations

To help you get started as quickly as possible, a selection of free online courses is available. Some notable Python MOOCs include:

Python - free online courses/MOOC search results. This platform offers a variety of courses, ranging from beginner to advanced levels, allowing you to choose the right one based on your current skill level.

Lastly, it's important to note that some Coursera courses, while free, may require fees for certificates. However, all these courses are of high quality and will provide a solid foundation in programming. It is also crucial to avoid learning MATLAB as a first language due to its high cost and the risk of developing bad programming habits.

Conclusion

Choosing the right MOOC is just the first step in your programming journey. By selecting high-quality courses and sticking to the languages that are most beneficial for your goals, you can ensure a smooth and successful start to your programming education. Happy learning!