Suppose you work in the technology field today as a programmer or software engineer. In that case, I am sure you have heard about terms like Data Science, Machine Learning, Deep Learning, Artificial Intelligence, etc. They are the latest technologies impacting every single sector, just like IT does it when it comes the first time. It doesn't matter if you work for a bank or insurance sector, airspace, or defense. All fields were impacted by IT, and shortly, they will be affected by machine learning and artificial intelligence. That's why it's essential to learn Data Science and Machine learning in 2025, and if you are looking for some good resources like courses and certification, you have come to the right place. In this article, I have shared the best Machine Learning Certifications from platforms like Coursera, Udemy, Pluralsight, Datacamp, and Udacity. Some of them are free, but you mostly need to pay if you need certification. If Are you wondering what machine learning means? Let me give you a brief overview. Machine learning is all about training machines to do the job, which was only possible by humans before, such as seeing a photo and recognizing the object like a car, a human, or a cucumber. Yes, one of the programmers in Japan has used TensorFlow, a machine learning library, to filter out the best cucumber, which could have only been done by his parents due to their years of experience in farming cucumber. There are several stories like that which tell us the power of machine learning and artificial intelligence, and that's why more and more computer science graduates, programmers, and even expert engineers are learning about artificial intelligence, machine learning, and deep learning. It's similar to the gaming revolution of the 1980s when programmers feel excited by writing a simple game like Breakout, Tetris, or even animating characters. Nowadays, computer science graduates get excited by writing programs that can recognize objects in images or gestures. That's why I suggest every programmer learn about artificial intelligence, data science, and deep learning. Contrary to popular perception, machine learning is behind some of the most remarkable technological innovations today; however, you don't need to be a math genius to successfully apply machine learning. It's also important from a career point of view because many jobs around today will be replaced by machines in the future. If you have these skills, you will be better poised to get the new technology jobs in this field; they are fascinating and lucrative. As a data scientist facing any real-world problem, you first need to identify whether machine learning can provide an appropriate solution Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000, according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's exciting to work too! 10 Best Data Science and Machine Learning Certifications in 2025 There are several certification courses in machine learning. I have compiled a list of some of the top courses, mostly accessible or at least affordable, that will help you become an ML expert. Some of the courses listed in this article are great to start your journey in this exciting and fast-growing field of machine learning. But, other classes can take you through slightly more advanced aspects. Of course, it is hard work, but if you are willing to pursue something, you'll discover ways to succeed and overcome difficulties. Anyway, without any further ado, here is a list of some of the best courses to learn machine learning, data science, Artificial Intelligence, and deep learning in 2025: Table of Contents 1. Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy) This is one of the courses to learn about machine learning algorithms. It will teach you how to create Machine Learning Algorithms in Python and R from two Data Science experts. This is a hands-on course and includes a lot of code examples for you to practice. 2. Deep Learning A-Z: Hands-On Artificial Neural Networks (Udemy) This course will teach you how to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. This is also one of the top-rated and hands-on courses that will teach you deep learning by giving real-world examples. This course continue to hold the second position in our list from the beginning and that shows how great this course really is, especially for people who want to master neural networks and deep learning. 3. Machine Learning by Andrew Ng (Coursera) This is another popular course in machine learning provided by Stanford University, which also includes certification. You'll be tested on each topic that you learn in this course, and based on the completion and the final score you get, you'll be awarded the certificate. This course adds value to you as a developer and gives you a good understanding of the mathematics behind all the machine learning algorithms you come up with. I personally really like this one. Andrew Ng takes you through the course using Octave, an excellent tool to test your algorithm before making it go live on your project. If you find Coursera certification valuable and valuable, you can also join Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/year, but it's completely worth your money as you get unlimited certificates. 4. Intro to Machine Learning by Udacity (FREE) This course provides you both the theoretical and the practical aspects of machine learning. One of the best things about this course is that Sebastian delivers it. Then, you guessed it right, The man behind self-driving cars. This course certainly makes machine learning even more enjoyable. It also gives you programming experience in Python. It is also a free course, though no certification will be awarded. The previous course is better if you need certification, but I also recommend it because it's exciting. This course is also part of their nanodegree program and if you want personalized help then you can join Udacity premium as well. 5. Machine Learning Specialization by Coursera This is one of the recently added certification courses on machine learning at Coursera. This course on machine learning specialization in Python is actually made up of six courses. It discusses building machine learning applications, primarily using deep learning. It's an excellent course for people who want to go a step beyond traditional machine learning methods. Btw, this complete specialization is a bit pricey at $354. but you will get a chance to complete a capstone project to finish off the course. 6. Introduction to Machine Learning by Datacamp This certification course on machine learning is most appropriate for R professionals. It expects you to have prior working knowledge of the R programming language. This course is focused on delivering helpful knowledge of using machine learning for training models effectively. This course is now also called "Understanding Machine Learning" and its still available for free on Datacamp. The course content is interactive and exciting, and some content is free. However, after a couple of free modules, the complete course is accessible at $25 monthly. If you want to learn R programming, you can also take a look at this list of free R Programming courses. 7. Understanding Machine Learning by Pluralsight This course provides a short introduction to the topic that assumes only an essential IT background. If you've been looking for a way into this critical topic, this is your course. Need a short, straightforward introduction to machine learning? Watch this. You would need a Pluralsight membership to access this course, which costs around $29 monthly or $299 annually. I have one, and I also suggest all developers have that plan because Pluralsight is like Netflix for Software developers. It has more than 5000+ excellent quality courses on all the latest topics. Since we programmers have to learn new things every day, an investment of USD 299 is not bad. It also offers a 10-day free trial without any obligation, which allows you to watch 200 hours of content. You can watch this course for free by signing for that trial. 8. Python for Data Science and Machine Learning Bootcamp (Udemy) This is another good course on data science and machine learning, and it will teach how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, TensorFlow, and more. It's best for Software developers or programmers who want to transition into the lucrative data science career path or Data analysts in the finance or other non-tech industries who wish to transition into the tech industry can use this course to learn how to analyze data using code instead of tools. But, you'll need some prior experience in coding or scripting to be successful. 9. How to Think About Machine Learning Algorithms (Pluralsight) In this course, you will learn to determine which of the four basic approaches you'll take to solve the problem: classification, regression, clustering, or recommendation. Next, you'll learn how to set up the problem statement, features, and labels. Finally, you'll plug in a standard algorithm to solve the problem. At the end of this course, you'll have the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. 10. Data Science, Deep Learning, & Machine Learning with Python (Udemy) If you're a programmer looking to switch into this exciting new career track, or a data analyst looking to make the transition into the machine learning industry, then this is the perfect course for you. This course will teach you the basic techniques used by real-world industry data scientists. If you really want to master data science, machine learning and deep learning then you shouldn't miss this course. Frank is an expert in this field and not just his technical knowledge but also his teaching style is the reason I love this course. Most importantly, he talk in the language I can understand and most likely you will because this is complex topic and if you don't understand, it will get really boring. That's all about some of the best courses to learn Data Science and Machine Learning courses you can take to become a Data Scientist or Machine learning specialist. Apart from these, there are a lot of free resources using both R programming languages and Python. If you like, you can also look at these R courses, which are free of cost. Other valuable Data Science and Machine Learning resources Top 5 Courses to Learn Python in 2025 Top 5 Websites to learn Python Coding for FREE 5 Free courses to learn R Programming for Machine learning Top 5 Books to learn Python from scratch 8 Python Projects you can do to understand better Top 5 Data Science and Machine Learning courses Top 5 TensorFlow and Machine Learning Courses Top 8 Python Machine Learning Libraries 9 Courses to learn PyTorch, Keras, Sci-kit, and MatPlotLib 10 Technologies Programmers Can Learn in 2025 5 Free courses to learn Python in 2025 How a Japanese cucumber farmer is using deep learning and TensorFlow 10 Things Every Programmer Should Know Coursera Review- Deep Learning Specialization by Andrew Ng Thanks for reading this article so far. If you find these best data science, deep learning, and machine learning courses practical, please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note. P. S. - If you are determined to learn Data Science and Machine learning skill but can't afford these online training courses and need some free classes to understand Machine Learning in 2025, you can also check out this list of Free Machine Learning Online Courses for Programmers.