Online-learning site, Coursera offers some of the best computer science courses.
Truth be told.
I never thought I could earn my computer science certificate without wasting a lot of money and time attending college classes.
Well, with the help of not only the best computer science courses on Coursera but also the best tutors, I can confidently say that I have my certificate now.
I know how you feel right now.
And trust me, I was also just like you before I enrolled absolutely for FREE on Coursera.
So in this article, we are going to look at the best Coursera courses for computer science that you can enroll for FREE and start learning immediately.
These computer science courses will give you real-world experience and also show you how they work in real-life events.
Since you are interested in learning computer science, my guess is that you might also be interested in courses for AI, that’s why in my previous article I also reviewed the best Coursera courses for AI, you should check it out.
Now, let’s do this.
Here are quick links to these courses on Coursera…
Here is a detailed summary of what you’ll learn in each of these computer science courses on Coursera.
We’ll look at what each course is about, what you’ll be able to do after the course as well as the requirements and skill level you need to have before starting any of these courses.
This is one of the most comprehensive courses for computer science on Coursera that aims to teach you and everyone else the basics of programming computers using Python.
The instructor covers the basics of how one constructs a program from a series of simple instructions in Python.
The course has no prerequisites and avoids all but the simplest mathematics.
That means anyone with moderate computer experience should be able to master the materials in this course, as they are straightforward guides that are very simple to implement.
And it will also teach computer programming to those with little or no previous experience.
It’s versatile and very useful for engineers and other professionals too.
This course will cover Chapters 1-5 of the textbook “Python for Everybody”.
Once you complete this course on Coursera for computer science, you will be ready to take more advanced programming courses.
This course covers Python 3.
Rating: 4.8 stars (160, 647 ratings).
Students: 1, 797, 748.
Duration: 19 hours.
If you want to break into the cutting-edge of AI, then this is one of the best courses for computer science on Coursera that will help you do so.
Since deep learning engineers are highly sought, after mastering deep learning, you will be faced with numerous new career opportunities.
Deep learning is also a new “superpower” that will let you build AI systems that just weren’t possible to build a few years ago.
In this course, you will learn the foundations of deep learning.
If you are interested in learning more about deep learning, then you should check out my previous article on the best deep learning courses.
By the end of this course, you will:
- Understand the major technology trends driving Deep Learning.
- Be able to build, train, and apply fully connected deep neural networks.
- Know how to implement efficient (vectorized) neural networks.
- Understand the key parameters in a neural network’s architecture.
This course also teaches you how deep learning actually works, rather than presenting you with only a cursory or surface-level description.
So after completing it, you will be able to apply deep learning to your own applications.
If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.
This is the first course of the Deep Learning Specialization.
Rating: 4.9 stars (94, 668 ratings).
Students: 795, 239.
Duration: 20 hours.
This course covers the essential information that every serious programmer needs to know about algorithms and data structures.
It provides an excellent guide to implement the most up to date algorithms with an emphasis on applications and… scientific performance analysis of Java implementations.
This part I of this course covers:
- Elementary data structures.
- Searching algorithms.
If you take this computer science course on Coursera and continue to part II, you will mainly focus on graph and string processing algorithms.
If you are a Java developer looking for an excellent computer science course, then you should join this course.
News flash! all the features of this course are available for FREE.
But in case you are looking for a course that offers certificates at the end of each course, then this course is not for you as it doesn’t offer any certificate upon completion.
Rating: 4.9 stars (7, 663 ratings).
Students: 718, 151.
Duration: 53 hours.
This is the best Coursera course for computer science that I have come across for Python data structures.
It will introduce you to the core data structures of the Python programming language.
The instructors will take you past the basics of procedural programming.
Additionally, you will also explore how you can use Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.
Plus all the code examples in this course and problems are implemented using Python programming language. This ensures that you don’t have any difficulty in understanding how to apply what you have learned on your own.
This course will cover Chapters 6-10 of the textbook “Python for Everybody”.
This course also covers Python 3.
Rating: 4.9 stars (74, 305 ratings).
Students: 614, 055.
Duration: 19 hours.
This course will introduce you to the basics of the python programming environment.
Including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the NumPy library.
The course will also introduce you to data manipulation and cleaning techniques using the popular python pandas data science library.
In addition, the instructor will also introduce the abstraction of the Series and DataFrame as the central data structures for data analysis.
This will be done along with tutorials on how to use functions such as GROUP BY, merge, and pivot tables effectively.
By the end of this course, you will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
This course should be taken before any of the other Applied Data Science with Python courses:
- Applied Plotting.
- Charting & Data Representation in Python.
- Applied Machine Learning in Python.
- Applied Text Mining in Python.
- Social Network Analysis in Python Applied.
Rating: 4.5 stars (21, 868 ratings).
Students: 508, 467.
Duration: 31 hours.
This computer science course on Coursera will show you how one can treat the Internet as a source of data.
In this course, you will scrape, parse, and read web data as well as access data using web APIs.
Plus, you will also work with HTML, XML, and JSON data formats in Python.
This course will cover Chapters 11-13 of the textbook “Python for Everybody”.
And to succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization.
These topics include:
- Variables and expressions.
- Conditional execution (loops, branching, and try/except).
- Python data structures (strings, lists, dictionaries, and tuples).
- Manipulating files.
This course covers Python 3.
Rating: 4.8 stars (36, 251 ratings).
Students: 415, 146.
Duration: 19 hours.
Did you know that graphic design is all around us?
Well, words and pictures are the building blocks of graphic design and are also the elements that carry the majority of the content in both the digital world and the printed world.
As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture.
Through visual examples, this course will teach you the fundamental principles of graphic design:
- Working with color and shape.
Which are foundational skills that are common in all areas of graphic design practice.
This course will also offer you lots of opportunities to get your hands dirty with exercises and with more practical projects.
At the end of this course, you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand the basic principles of working with shape, color, and pattern.
Finally, you’ll be exposed to the language and skills of typography, understand, and have applied the principles of composition and visual contrast.
Rating: 4.8 stars (10, 917 ratings).
Students: 409, 566.
Duration: 15 hours.
This is one of the best Coursera courses for computer science that introduces you to the important concepts and terminology for working with Google Cloud Platform (GCP).
This course would save you a lot of time by teaching you how to compare, many of the computing and storage services available in Google Cloud Platform, including:
- Google App Engine.
- Google Compute Engine.
- Google Kubernetes Engine.
- Google Cloud Storage.
- Google Cloud SQL.
Furthermore, you’ll also learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management.
The best thing about this course is that its hands-on labs give you foundational skills for working with GCP that will give you real-world experience.
Note: By the time of writing this review, Google services are currently unavailable in China.
Rating: 4.7 stars (33, 764 ratings).
Students: 385, 901.
Duration: 12 hours.
This is another best computer science course on Coursera that teaches computer programming to those with little or no previous experience.
It uses the programming system and language called MATLAB, which is easy to learn, versatile, and very useful for engineers and other professionals.
MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers.
As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance and beyond, and it is also heavily used in the industry.
Hence, a solid background in MATLAB is an indispensable skill in today’s job market.
Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming.
If you successfully complete this course, you will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.
Rating: 4.8 stars (11, 294 ratings).
Students: 347, 731.
Duration: 35 hours.
Do you realize that the only functionality of a web application that the user directly interacts with is through the web page?
Today’s user expects a lot out of the web page.
For example, it has to load fast, expose the desired service, and be comfortable to view on all devices like desktop computers to tablets and mobile phones.
In this computer science course on Coursera, you will learn the basic tools that every web page coder needs to know.
You will start from the ground up by learning how to implement modern web pages with HTML and CSS.
Then, you will advance to learning how to code pages that the components rearrange and resize themselves automatically based on the size of the user’s screen.
You’ll also be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer.
No “pinch and zoom” required!
Rating: 4.8 stars (9, 162 ratings).
Students: 367, 593.
Duration: 40 hours.
This is another best Coursera course for computer science that will teach you how to build convolutional neural networks and apply them to image data.
Thanks to deep learning, computer vision is working far better than just two years ago.
And this is enabling numerous exciting applications ranging from safe autonomous driving to accurate face recognition, to automatic reading of radiology images.
In this course, you will:
- Understand how to build a convolutional neural network, including recent variations such as residual networks.
- Know how to apply convolutional networks to visual detection and recognition tasks.
- Know to use neural style transfer to generate art.
- Be able to apply these algorithms to a variety of images, videos, and other 2D or 3D data.
If you want to learn more about the ins and outs of neural networks, then you should check out my other article on the best neural networks.
This is the fourth course of the Deep Learning Specialization.
Rating: 4.9 stars (35, 869 ratings).
Students: 300, 175.
Duration: 20 hours.
Now, that’s all about some of the best courses on Coursera to learn computer science.
Since computer science is one of the most growing fields in this new era of technology, these computer science courses will hone your skills to a razor edge.
Here is a summary of what you will learn in these courses for computer science on Coursera:
- How to build convolutional neural networks and apply them to image data.
- Important concepts and terminology for working with Google Cloud Platform.
- How one can treat the Internet as a source of data.
- The basics of the python programming environment.
- The foundations of deep learning.
I hope these courses for computer science on Coursera help you learn the ins and outs of computer science and launch a successful career in this lucrative field.
Have you ever taken any of these best Coursera courses for computer science before?
If yes, please share your experience in the comments below.