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.
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.
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.
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
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.
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
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.
