Javin Paul

I am Java programmer, blogger on http://javarevisited.blogspot.com and http://java67.com

10 Machine Learning, Data Science, and Deep Learning Courses for Programmers

A curated list of courses to learn data science, machine learning, and deep learning fundamentals.

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 a great 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 Bots 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 important 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.
You might already know that the Machine learning specialist is one of the top paid technical jobs in the world. However, most developers and IT professionals are yet to learn these valuable set of skills.

For those, who don’t know what is a Data Science, Machine learning, or deep learning, 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 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 carer 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 quite 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
best resources to learn machine learning, data science etc.

I am sharing all those resources in a series of a blog post like this. Earlier, I have shared some courses to learn TensorFlow, one of the most popular machine learning library and today I’ll share some more to learn these technologies.
These are a combination of both free and paid resource which will help you to understand key data science concepts and become a Data Scientist.

10 Useful Data Science Courses for Programmers

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
learning work very close together, hence some of these courses also
cover machine learning.

Both Python and R are a great language for Data Analysis and have good APIs and library, 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 language after Java. I am already using it for writing scripts and other web stuff, so it was an easy 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 e.g. visualization,
data cleaning, data mining etc and these courses provide a good overview
of all these concepts and also presents a lot of useful tools which can
help you in the real world.



1. Machine Learning A-Z: Hands-On Python and R — In Data Science
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 a great 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 good 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 language 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.
Btw, you would need a Pluralsight membership to get access this course, which cost around $29 per month or $299 annually (14% discount).
If you don’t have Pluralsight membership, I encourage you to get one
because it allows you to access their 5000+ online courses on all latest
topics like front-end and back-end development, machine learning etc.
It also include interactive quizzes, exercises, and latest certification material .
It’s more like Netflix for Software Developers and Since learning is an important part of our job, Plurlasight membership is a great way to stay ahead of your competition.
They also provide a 10-day free trial without any commitment, which is a great way to not just access this course for free but also to check the quality of courses before joining Pluralsight.
3. Harvard Data Science 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, Scipy, 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. Want to be a Data Scientist? (FREE)
This is a great introductory course on what Data Scientist do and how you
can become a data science professional. It’s also free and you can get
it on Udemy.

If you have just heard about Data Science and excited about it but doesn’t know what it really means then this is the course you should attend first.

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.
5. Intro to Data Science by Udacity
This is another good 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 e.g. 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 course and it’s also the first step towards a new career with
the Data Analyst Nanodegree Program offered by Udacity.
6. Data Science with R
The is another good course to learn Data Science with R. In this course,
you will not only learn R programming language but also get some
hands-on experience with statistical modeling techniques.

The 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. Intro To Data Science Course 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
message to find out the sentiments e.g. negative, positive etc.

The course assumes that you know statistics, Python, and SQL.

Btw, It’s not so good 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.
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: Real-Life Data Science Exercises Included
This
is another great 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. Data Science, Deep Learning and Machine Learning 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 biggest tech employers, that makes it even more special and useful.
That’s all about some of the popular courses to learn Data Science.
As I said, there is a lot of demand for good Data Analytics and there
are not many developers out there to fulfill that demand.
It’s a great 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
5 Free courses to learn R Programming for Machine learning
5 Free courses to learn Python in 2018
Top 5 Data Science and Machine Learning courses
Top 5 TensorFlow and Machine Learning Courses
10 Technologies Programmers Can Learn in 2018
Top 5 Courses to Learn Python Better
How a Japanese cucumber farmer is using deep learning and TensorFlow

Closing Notes

Thanks, You made it to the end of the article … Good luck with your Data
Science and Machine Learning journey! It’s certainly not going to be
easy, but by following these courses, you are one step closer to
becoming the Machine Learning Specialists you always wanted to be.
If you like this article, then please share with your friends and colleagues, and don’t forget to follow javinpaul on Twitter!
P. S. — If you need some FREE resources to start with, you can check out this free course Learn Machine Learning algorithms, software, deep learning to start your preparation.




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Comments

August 21st, 2019

Number four (want to be a data scientist) was where I started learning about every data science. It’s really a great start for those who’re just starting out. It doesn’t cost money. it’s basic so everyone can understand it.

Also taken a few other courses on Udemy. And still, I’ve a long way to go.

Thanks for sharing these. Which one do you suggest for an intermediate level?

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