Top 7 Data Science and Machine Learning Courses to Learn Online in 2025
If you are in the same boat and thinking to become a Data Scientist or Machine Learning specialist then you have come to the right place. In this article, I am going to share some of the best online courses you can take to become a Data Scientist by learning Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
When it comes to programming languages and libraries, Python and R are clearly two leading programming languages in the areas of machine learning, data analytics, and artificial intelligence. Many exciting developments are happening in those languages and they already got some useful libraries to start with.
If you’ve got some programming or scripting experience, these courses will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry and prepare you for a move into this hot and lucrative career path.
7 Best Courses to Learn Machine Learning and Data Science in 2025
Here is my list of top 5 online courses you can take to learn Data Science and machine learning and become a Data Scientist. These courses will provide you valuable insights, advice, tips, and recommendations to take your Data Science career to the next level.
It contains courses on both Python and R, two of the most popular programming languages of Data Scientists and Machine Learning specialists.
1. Machine Learning by Andrew Ng (Coursera)
This is probably the best course to learn Machine learning on the internet. More than 5 million students have already taken this course and know it by name, which speaks volumes of its popularity and quality.
It’s one of the best online courses to start on machine learning and probably the most recommended resource as well. I also strongly recommend this as a starting point for anyone wishing to be a Machine learning programmer or Data Scientist.
If you don’t know Andrew Ng is CEO and founder of Landing AI and Co-founder of Coursera, one of the best online course portals. He is also an Adjunct Professor of Stanford University and former Chief Scientist of Baidu and founding lead of Google Brain, one of the better-known examples of machine learning Algorithms.
This course provides a broad introduction to machine learning, data science, and statistical pattern recognition. It covers both Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks) and Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
It also teaches you best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
The best part of the course is that it will also discuss many case studies and applications so that you’ll also learn how to apply machine learning algorithms to building smart robots, text understanding like web search and anti-spam, computer vision, audio, database mining, and other areas.
In short, one of the best courses to start with is Machine learning. It’s also free for learning but you won’t get any certificate and may not be able to access certain quizzes and assessments.
And, if you find Coursera certifications useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth your money as you get unlimited certificates
2. Python for Data Science and Machine Learning Bootcamp
Many of my friends and colleagues who have moved towards Data Science have chosen Python as their choice of language. One reason for that is Python is probably the most popular language and offers everything.
They already using Python for scripting and object-oriented programming and it’s easy to learn Data Science if you the language, rather than learning a new language like R.
This is one of the best courses to master data science and machine learning python libraries on Udemy. You will learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Tensorflow, Pytorch, Keras, and more!
This course is designed for both beginners with some programming experience and experienced developers looking to make the jump to Data Science!
It is comparable to other Data Science Bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost, in just $10.99 if you are lucky to get it during Udemy’s flash sale.
3. Data Science, Deep Learning, & Machine Learning with Python [Udemy]
This is one of the rare hands-on courses to learn the neural network, artificial intelligence, and machine learning techniques employers are seeking.
This course is designed by analyzing the real requirements in data scientist job listings from the biggest tech employers, which means it covers the machine learning and data mining techniques real employers are looking for.
4. Tableau 10 A-Z: Hands-On Tableau Training For Data Science!
Tableau is one of the popular tools among data scientists and that’s there is a great demand for Data Scientists who know Tableau.
This course will teach you Tableau 10 for Data Science step-by-step. It contains real-life Data Analytics Exercises and Quizzes to give you first-hand experience of Tableau.
You’ll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
5. R Programming A-Z: R For Data Science With Real Exercises!
R is another popular programming language for Data Science and this course provides a good overview of R from the Data Science perspective.
There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed.
This course is truly step-by-step. In every new tutorial, we build on what had already been learned and move one extra step forward.
6. Complete Machine Learning and Data Science: Zero to Mastery
If you are looking for a comprehensive and up-to-date online course to learn both Data Science and Machine Learning then you will love this Machine Learning course by Andrei Negaoie and Daniel Bourke on ZTM Academy, its own online learning school.
In this 43 hours long Machine Learning course you will learn Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0 and Python version. The course is also full of several real world examples, anecdotes, and illustrations.
You will not only learn about essential Machine Learning concepts like Supervised and unsupervised learning but also about key Machine Learning libraries like NumPy, Scikit Learn, Pandas, MatplotLib and TensorFlow.
You will also learn about Data Engineering and how tools like Hadoop, Spark, and Kafka are used in the industry with several examples and case studies. Overall a great online course to learn Data Engineering and Machine Learning
7. Understanding Machine Learning on Datacamp
This is a beginner-friendly course with a rating of 4.6+ based on 132 reviews, offering an insightful introduction to the world of machine learning without requiring any coding. Designed for beginners, the course spans 2 hours, consists of 12 videos, and includes 36 exercises to reinforce learning.
With an impressive enrollment of 177,959 learners, the course provides a Statement of Accomplishment upon completion. The curriculum delves into fundamental machine learning concepts, unraveling the mysteries behind the hype associated with this technology.
Through hands-on exercises, participants gain a solid foundation beyond industry jargon, exploring topics such as the workings of machine learning, its applications, and distinguishing it from artificial intelligence.
Additionally, the course addresses the limitations and potential dangers associated with machine learning. By the end of the program, participants gain a comprehensive understanding of machine learning models, including different types and techniques for evaluating and enhancing them.
I generally recommend the standard plan because it is right-priced and you get access to all the essentials to grow your data skills like 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code along. It cost around $25/month on an annual plan and it’s totally worth it.
If you have a passion for data analytics and problem-solving and want to make a difference both in your career and to the world then this is the right time to make your move.
I’ll write more about Data Science and Machine learning for both Python and Java developers as my knowledge grows in these areas. Many of my readers have asked about libraries, frameworks, and books in Java and Python for machine learning and that’s on my list of things to do this year.
Btw, these online courses are a good point to start with.
Other Machine Learning and Programming Courses you may like to explore
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