Are you looking for the Best edX Courses for Computer Science?… If yes, you are in the right place. I have listed all the Best edX Courses for Computer Science in this article.
Now, without any further ado, let’s get started-
Best edX Courses for Computer Science
- 1. Computer Science for Python Programming
- 2. Computer Science for Web Programming
- 3. Fundamentals of Computer Science
- 4. MicroMasters® Program in Algorithms and Data Structures
- 5. Professional Certificate in Data Structures and Algorithms
- 6. Introduction to Java Programming
- 7. MicroMasters® Program inData Science
- 8. Machine Learning for Data Science and Analytics
- Conclusion
1. Computer Science for Python Programming
Provider- Harvard University
Time to Complete- 6 months (If you spend 5-14 hours per week)
There are two courses in this program. The first course is all about the basics of computer science and teaches how to solve programming problems efficiently.
In the first course, you will also get to know about abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. The instructors also explain the programming languages of computer science such as C, Python, SQL, and JavaScript plus CSS and HTML.
The second course focuses on Python Programming Language and covers all the concepts of Python.
Overall, this is a good program to gain insights into computer science.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Anyone who wants to learn computer science.
Interested to Enroll?
If yes, then check out the program details here- Computer Science for Python Programming
2. Computer Science for Web Programming
Provider- Harvard University
Time to Complete- 6 months (If you spend 6-14 hours per week)
This program also has 2 courses. The first course will teach computer science and web development basics. You will also understand the programming language specially used for web development such as JavaScript, CSS, and HTML.
The second course is more in-depth on web programming and covers HTML, CSS, Git, Python, Django, etc.
Overall, this program will provide enough understanding of computer science and web programming. But, this is not a complete program to learn web development.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Those who have previous programming knowledge.
Interested to Enroll?
If yes, then check out the program details here- Computer Science for Web Programming
3. Fundamentals of Computer Science
Provider- IIT Bombay
Time to Complete- 8 months (If you spend 6-8 hours per week)
This program has 5 courses. This is a detailed program to understand the fundamentals of computer science. The first course covers the basics of programming using C++ language. In this course, you will learn how to write a program in C and C++ to solve problems.
The second course will teach you the OOPS Concepts using C++. In the next course, you will get to know about data structures. The fourth course is the follow-up course to data structures where you will learn how to implement data structures using object-oriented paradigms.
The last course will cover the various important algorithms and how to use these algorithms for solving various real-world problems.
Overall, this is a good course to gain foundational knowledge of computer science.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Those who have previous high-school math knowledge.
Interested to Enroll?
If yes, then check out the program details here- Fundamentals of Computer Science
4. MicroMasters® Program in Algorithms and Data Structures
Provider- UCSanDiego
Time to Complete- 9 months( If you spend 8 – 10 hours per week)
This program will help you to learn algorithmic techniques for solving various computational problems. Throughout this program, you will develop and implement algorithms, which will be tested by multiple tests to check their correctness and running time.
You will also learn how to implement programs that work in less than one second even on massive datasets, how to formulate real-life computational problems as rigorous algorithmic problems, etc.
This Micro Master program has a total of 8 courses.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Those who are a beginner and want to excel in data structure and algorithms.
Interested to Enroll?
If yes, then check out the details here- MicroMasters® Program in Algorithms and Data Structures
5. Professional Certificate in Data Structures and Algorithms
Provider- Georgia Tech
Time to Complete- 5 months( If you spend 9 – 10 hours per week)
This is a 4-course series program. In this program, you will learn the foundations of data structures, designing efficient algorithms, and the fundamentals of recursion, edge cases, and algorithmic efficiency.
You will also learn how to differentiate between linear data structures like linked lists, arrays, array lists, stacks, and queues and how to choose the correct structure for a given situation. You will also learn how to implement a HashMap that uses key-value pairs to store data, and much more.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Those who are a beginner in Data structure and algorithms.
Interested to Enroll?
If yes, then check out the details here- Professional Certificate in Data Structures and Algorithms
6. Introduction to Java Programming
Provider- Universidad Carlos III de Madrid
Time to Complete- 4 months (If you spend 6-8 hours per week)
There are 3 courses in this program. In the first course, you will learn Java Programming Basics and the basic mechanisms of the OOP paradigm.
The next course is all about how to write programs in Java Programming and how to detect and correct common programming errors at compile time and run time.
The last course will cover data structures using Java Programming. You will learn about arrays, linked lists, stacks, queues, etc.
Overall, this is a good course to learn the fundamentals of Java Programming.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Anyone who wants to learn Java Programming.
Interested to Enroll?
If yes, then check out the program details here- Introduction to Java Programming
7. MicroMasters® Program inData Science
Provider- UCSanDiego
Time to Complete- 10 months (9-11 hours per week)
In this program, you will learn the mathematical and computational tools that form the basis of data science. You will also learn how to use those tools to make data-driven business recommendations.
This program has two sides to data science learning- mathematical and applied.
In the mathematics course, you will learn probability, statistics, and machine learning. And in the applied section, you will get to know about Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment, and Apache Spark.
This program has 4 courses.
Extra Benefits-
- You will get a Shareable Certificate.
Who Should Enroll?
- Those who are familiar with programming languages and have a basic understanding of high-school-level math.
Interested to Enroll?
If yes, then check out the program details here- MicroMasters® Program inData Science
8. Machine Learning for Data Science and Analytics
Provider- Columbia University
Time to Complete- 5 weeks
This course will provide an introduction to machine learning and algorithms. After that, you will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics.
You will also learn how to prepare data, deal with missing data and create custom data analysis solutions for different industries and basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms, and dynamic programming.
Who Should Enroll?
- Those who know high school-level math.
Interested to Enroll?
If yes, then check out all details here- Machine Learning for Data Science and Analytics
And here the list ends. I hope these 8 Best edX Courses for Computer Science will help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.
Conclusion
I tried to cover the Best edX Courses for Computer Science in this article. If you have any doubts or questions, feel free to ask me in the comment section.
Happy Learning!
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.