Hello guys, Data Science, Machine Learning, Deep Learning, and Artificial
intelligence are really hot at this moment and offering a lucrative career to
programmers with high pay and exciting work. It's an excellent opportunity for
programmers who are willing to learn these new skills and upgrade themselves.
It's also important from the job perspective because Robots and
chatbots
are getting smarter day by day, thanks to these technologies, and most likely
will take over some of the jobs which many programmers do today. Hence, it's
essential for software engineers and developers to upgrade themselves with
these skills.
Programmers with these skills are also commanding significantly higher salaries as data science is revolutionizing the world around us. The Machine learning specialist is also one of the top paid technical jobs in the world. However, most developers and IT professionals are yet to learn this valuable set of skills.
For those, who don't know what a Data Science, Machine learning, or Deep learning is, they are very related terms with all pointing towards machine doing jobs which is only possible for humans till date and analyzing the huge set of data collected by a modern-day application
.
Data Science, in particular, is a combination of concepts such as machine learning, visualization, data mining, programming, data mugging, etc.
If you have some programming experience, then you can learn Python or R to make your career as a Data Scientist. There are a lot of popular scientific Python libraries such as Numpy, Scipy, Scikit-learn, Pandas, which is used by Data Scientist for analyzing data.
To be honest with you, I am also entirely new to Data Science and Machine learning world, but I have been spending some time from last year to understand this field and have done some research in terms of the best resources to learn machine learning, data science, etc.
I am sharing all those resources in a series of blog posts like this. Earlier, I have shared some courses to learn TensorFlow, one of the most popular machine learning libraries, and today, I'll share some more to learn about these technologies. These are a combination of both free and paid resources, which will help you to understand key data science concepts and become a Data Scientist.
Both Python and R are excellent languages for Data Analysis and have useful APIs and libraries; hence I have included courses in both Python and R, you can choose the one you like.
I personally like Python because of its versatile usage, it's the next best in my list of languages after Java. I am already using it for writing scripts and other web stuff, so it was a natural choice for me. It has also got some excellent libraries like Sci-kit Learn and TensorFlow.
Data Science is also a combination of many skills, like visualization, data cleaning, data mining, etc. and these courses provide a good overview of all these concepts and also present a lot of useful tools that can help you in the real world.
This is an excellent course for students and programmers who want to make a career in Data Science and also Data Analysts who want to level up in machine learning.
It's also useful for any intermediate-level programmers who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
In this course, you'll learn first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight.
Next, you'll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models.
Finally, you'll learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.
You will be using popular scientific Python libraries such as Numpy, PyTorch, Scikit-learn, Pandas throughout the course.
I suggest you complete the machine learning course on course before taking this course, as machine learning concepts such as PCA (dimensionality reduction), k-means, and logistic regression are not covered in depth.
But remember, you have to invest a lot of time to complete this course, especially the homework exercises are very challenging.
In short, if you are looking for an online course in data science(using Python), there is no better course than Harvard's CS 109. You need some background in programming and knowledge of statistics to complete this course.
Programmers with these skills are also commanding significantly higher salaries as data science is revolutionizing the world around us. The Machine learning specialist is also one of the top paid technical jobs in the world. However, most developers and IT professionals are yet to learn this valuable set of skills.
For those, who don't know what a Data Science, Machine learning, or Deep learning is, they are very related terms with all pointing towards machine doing jobs which is only possible for humans till date and analyzing the huge set of data collected by a modern-day application
.
Data Science, in particular, is a combination of concepts such as machine learning, visualization, data mining, programming, data mugging, etc.
If you have some programming experience, then you can learn Python or R to make your career as a Data Scientist. There are a lot of popular scientific Python libraries such as Numpy, Scipy, Scikit-learn, Pandas, which is used by Data Scientist for analyzing data.
To be honest with you, I am also entirely new to Data Science and Machine learning world, but I have been spending some time from last year to understand this field and have done some research in terms of the best resources to learn machine learning, data science, etc.
I am sharing all those resources in a series of blog posts like this. Earlier, I have shared some courses to learn TensorFlow, one of the most popular machine learning libraries, and today, I'll share some more to learn about these technologies. These are a combination of both free and paid resources, which will help you to understand key data science concepts and become a Data Scientist.
10 Best Data Science Online Training Courses for Beginners in 2025
Here is my list of some of the best courses to learn Data Science, Machine learning, and deep learning. As I said, Data Science and machine knowledge work very close together; hence some of these courses also cover machine learning.Both Python and R are excellent languages for Data Analysis and have useful APIs and libraries; hence I have included courses in both Python and R, you can choose the one you like.
I personally like Python because of its versatile usage, it's the next best in my list of languages after Java. I am already using it for writing scripts and other web stuff, so it was a natural choice for me. It has also got some excellent libraries like Sci-kit Learn and TensorFlow.
Data Science is also a combination of many skills, like visualization, data cleaning, data mining, etc. and these courses provide a good overview of all these concepts and also present a lot of useful tools that can help you in the real world.
1. Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2025]
This is probably the best hands-on course on Data Science and machine learning online. In this course, you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts.This is an excellent course for students and programmers who want to make a career in Data Science and also Data Analysts who want to level up in machine learning.
It's also useful for any intermediate-level programmers who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
2. Data Science with R by Pluralsight
Data science is the practice of transforming data into knowledge, and R is one of the most popular programming languages used by data scientists.In this course, you'll learn first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight.
Next, you'll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models.
Finally, you'll learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.
3. Harvard Data Science Course [Best edX course]
The course is a combination of various data science concepts such as machine learning, visualization, data mining, programming, data mugging, etc.You will be using popular scientific Python libraries such as Numpy, PyTorch, Scikit-learn, Pandas throughout the course.
I suggest you complete the machine learning course on course before taking this course, as machine learning concepts such as PCA (dimensionality reduction), k-means, and logistic regression are not covered in depth.
But remember, you have to invest a lot of time to complete this course, especially the homework exercises are very challenging.
In short, if you are looking for an online course in data science(using Python), there is no better course than Harvard's CS 109. You need some background in programming and knowledge of statistics to complete this course.
4. Understanding Data Science on Datacamp
This is a great introductory course on learning Data Science and its from Datacamp, an engaging an interactive online learning platform, specialized in Data Skills. If you have just heard about Data Science and excited about it but don't know what it really means, then this is the course you should attend first."Understanding Data Science" is a highly regarded course with a stellar rating of 4.8 from 434 reviews, catering to beginners in the field. With an emphasis on making data science accessible without the need for coding, this course spans 2 hours, comprising 15 videos and 48 exercises. Boasting an impressive enrollment of 545,576 learners, the course provides a Statement of Accomplishment upon completion.
It's a small course but packed with big punches. You will understand what Data Science is? Appreciate the work Data Scientists do on a daily basis and differentiate the various roles in Data Science and the skills needed to perform them.
The course emphasizes practical insights into how data scientists extract knowledge from real-world data, making it an ideal starting point for those curious about this rapidly growing and exciting field. The course covers topics such as the data science workflow, different roles within the data science field, data preparation, exploration, and visualization – all crucial elements in understanding and navigating the world of data science.
You will also learn about the challenges Data Scientists face. In short, this course will give you all the knowledge to make a decision on whether Data Science is the right path for you or not. More than 545,576 Learners have already joined this amazing free Data Science course on Datacamp.
You will also learn about the challenges Data Scientists face. In short, this course will give you all the knowledge to make a decision on whether Data Science is the right path for you or not. More than 545,576 Learners have already joined this amazing free Data Science course on Datacamp.
By the way, you need a Datacamp plan to access this course. They have different plans like standard, professionals, and premium which allows access to all projects. I recommend the standard plan because it is right-priced and you get access to all the essentials to grow your data skills.
If you need more free resources to learn Data Science, you can also check out this list of free Data Science courses for Beginners. The list has free online courses to learn Data Science from Udemy, Coursera, freeCodeCamp, and other online portals. Some free courses also provide certificates, particularly on Coursera
.
In this course, you will learn about essential Data science concepts, like Data Manipulation, Data Analysis with Statistics and Machine Learning, Data Communication with Information Visualization, and Data at Scale while working with Big Data.
This is a free online course, and it's also the first step towards a new career with the Data Analyst Nanodegree Program offered by Udacity. If you want to become a Data Analyst or Data Scientists in 2025 then this a great course to start with.
If you need more free courses to learn Machine Learning then you can also check out this list of free Machine Learning courses for beginners on Medium. It contains free online training courses to learn Machine Learning algorithms, concepts, and essential libraries like TensorFlow, PyTorch, and Keras for free.
The course has real-world examples of how analytics have been used to significantly improve a business or industry.
If you are interested in learning some practical analytic methods that don't require a ton of maths background to understand, this is the course for you.
The course assumes that you know statistics, Python, and SQL.
Btw, It's not so suitable for beginners, especially if you don't know Python and SQL, but if you do and have a basic understanding of Data Science, then this is a great course.
And, if you find Coursera courses and specialization 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
This course will teach you how to use all important Python scientific and machine learning libraries TensorFlow, NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, and many more libraries which I have explained earlier in my list of useful machine learning libraries.
It's a very comprehensive course, and you will how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
This course will give you so many practical exercises that the real world will seem like a piece of cake when you complete this course.
The homework exercises are also very thought-provoking and challenging. In short, If you love doing stuff, then this is a course for you.
The topics in this course come from an analysis of real requirements in data scientist job listings from the most prominent tech employers, which makes it even more special and useful.
5. Intro to Data Science by Udacity [Free Course]
This is another excellent introductory course on Data science, which is available for free on Udacity, another popular online course website.In this course, you will learn about essential Data science concepts, like Data Manipulation, Data Analysis with Statistics and Machine Learning, Data Communication with Information Visualization, and Data at Scale while working with Big Data.
This is a free online course, and it's also the first step towards a new career with the Data Analyst Nanodegree Program offered by Udacity. If you want to become a Data Analyst or Data Scientists in 2025 then this a great course to start with.
If you need more free courses to learn Machine Learning then you can also check out this list of free Machine Learning courses for beginners on Medium. It contains free online training courses to learn Machine Learning algorithms, concepts, and essential libraries like TensorFlow, PyTorch, and Keras for free.
6. Data Science Certification Training - R Programming
This is another excellent course to learn Data Science with R and get a certification. In this course, you will not only learn the R programming language but also get some hands-on experience with statistical modeling techniques.The course has real-world examples of how analytics have been used to significantly improve a business or industry.
If you are interested in learning some practical analytic methods that don't require a ton of maths background to understand, this is the course for you.
7. Introduction to Data Science Specialization by Coursera
This course provides a broad introduction to various concepts of data science. The first programming exercise, "Twitter Sentiment Analysis in Python," is both fun and challenging, where you analyze tons of twitter messages to find out the sentiments, like negative, positive, etc.The course assumes that you know statistics, Python, and SQL.
Btw, It's not so suitable for beginners, especially if you don't know Python and SQL, but if you do and have a basic understanding of Data Science, then this is a great course.
And, if you find Coursera courses and specialization 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
8. Python for Data Science and Machine Learning Bootcamp
There is no doubt that Python is probably the best language, apart from R for Data Analysis, and that's why it's hugely popular among Data Scientists.This course will teach you how to use all important Python scientific and machine learning libraries TensorFlow, NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, and many more libraries which I have explained earlier in my list of useful machine learning libraries.
It's a very comprehensive course, and you will how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
9. Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025]
This is another excellent hands-on course on Data Science from Udemy. It promises to teach you Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization, and more.This course will give you so many practical exercises that the real world will seem like a piece of cake when you complete this course.
The homework exercises are also very thought-provoking and challenging. In short, If you love doing stuff, then this is a course for you.
10. Machine Learning, Data Science and Generative AI with Python
If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and help you to become a data scientist.The topics in this course come from an analysis of real requirements in data scientist job listings from the most prominent tech employers, which makes it even more special and useful.
11. Google Data Analytics Professional Certificate
This Coursera certification from Google is your gateway to a career in data analytics, offering in-demand skills that can make you job-ready in less than six months, with no degree or prior experience required.Taught in English by top instructors from Google, the program has already garnered enrollment from a staggering 1,951,672 participants. Included with Coursera Plus, the 8-course series covers essential aspects of data analytics, including data cleaning, analysis, and visualization, along with tools such as spreadsheets, SQL, R programming, and Tableau.
Participants will gain proficiency in organizing and cleaning data, performing analysis and calculations using various tools, and visualizing data findings through dashboards, presentations, and commonly used visualization platforms.
Upon completion, learners will also receive a shareable certificate to add to their LinkedIn profiles, showcasing their expertise. The program is designed for beginners, recommending 6 months at 10 hours a week, with a flexible schedule allowing participants to learn at their own pace.
The professional certificate demonstrates proficiency in portfolio-ready projects and qualifies participants for in-demand job titles such as Data Analyst, Junior Data Analyst, and Associate Data Analyst.
By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $59/ per month but is worth it because you get access to more than 7000+ courses and projects, and you can also get unlimited certificates.
That's all about some of the popular courses to learn about Data Science. As I said, there is a lot of demand for useful Data Analytics, and there are not many developers out there to fulfill that demand. It's an excellent chance for the programmer, especially those who have good knowledge of maths and statistics, to make a career in machine learning and data analytics. You will be awarded exciting work and incredible pay.
Other useful Data Science and Machine Learning resources
- Top 8 Python Machine Learning Libraries
- Top 5 Courses to learn Pandas for Data Science
- 10 Coursera Certifications and Courses to learn Python
- Why Everybody should learn Python in 2025
- 10 Best Udemy Courses for Python Developers
- 5 Free courses to learn R Programming for Machine learning
- 10+ books and courses to learn Data Science
- 5 Free courses to learn Python in 2025
- Top 5 Data Science and Machine Learning courses
- Top 5 TensorFlow and Machine Learning Courses
- 10 Technologies Programmers Can Learn in 2025
- Top 5 Courses to Learn Python Better
- Top 5 Courses to learn Artificial Intelligence in 2025
- Top 5 Courses to learn Data Visualization in 2025
- How a Japanese cucumber farmer is using deep learning and TensorFlow
Thanks for reading this article so far. If you find these best Data Science and Machine learning courses useful, then 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 keen to learn Data Science and Machine learning skills but looking for some free online courses and books to start with then I also suggest you check out this list of free Machine Learning courses and free Deep Learning courses to start with. This list contains free Machine learning and Deep learning courses from Udemy, Coursera, and other online portals.
3 comments :
nice
Data science is the future. There is a lot of data generated everyday and a pg program in data science will give you the base needed to work with this data for stellar results. For a post graduate program in data science join ITM Institutes and start your career today.
Is Data Science really that hot in 2024? I heard Gen AI is future
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