Hello guys, if you want to learn Data Science and Machine Learning in 2023 and
looking for the best Data Science and Machine Learning Certifications and
courses then you have come to the right place. In the past, I have shared
the
best data science tools
and
best Python courses
for beginners and data scientists and in this article, I am going to share the
best Machine Learning and Data Science courses from Coursera, one of the best
online platforms for Data Science. I have tried and tested many online
learning platforms like Udemy, edX, Pluralsight, Educative, Codecademy,
Datacamp, etc but when it comes to most authoritative, comprehensive data
science certifications,
Coursera is the best place to go. You may be thinking why? because Coursera certifications are provided by top universities from the world and top
companies like Google, IBM, AWS, etc.
In other words, Coursera gives you a chance to learn from Machine learning
experts from Google and IBM which is not available in any other platform. If
you are a software developer then you know how hard to get into any of these
companies and just imagine the chance of learning from people who have worked
there and experts in the subject matter they are teaching.
That's the main reason I choose Coursera courses and certification to learn
Data Science, Machine Learning, Cloud Computing, and another greenfield,
in-demand technologies. When I last shared my list of best Coursera
Certifications and Coursera last year, a lot of you asked me for a similar
list for Data Science and Machine Learning and here we are.
In this article, I am going to share only the best study material for anyone
who wants to become a Data Scientist or Machine Learning engineer in 2023.
Though it doesn't mean I am only going to share paid courses, I have also
included free courses which are equally good, and yes, there are many free
Coursera courses that you can join without spending a dime.
There are also many free Coursera courses where you can earn certifications
but if you are serious about taking your career to next level, I suggest you to join
Coursera Plus, a subscription plan from Courser which gives you access to their 3000+
courses and certifications for just %59 per month. With this program, you can
join as many certifications, specializations, professional certificates, and
courses as you want.
6 Best Machine Learning and Data Science Certifications for Beginners
Without wasting any more of your time, let's jump right into this list of best
Machine learning and Data Science courses and certifications for Beginners. As
I said the list includes the best courses from top universities like Stanford,
Duke University, and the University of Michigan as well as the best courses
from top companies like IBM.
1. Machine Learning by Andrew Ng [FREE]
This is the most popular Machine Learning Course on Coursera. Created by
Andrew Ng, one of the pioneer teachers of Data Science and Machine learning
and one of the founders of Coursera, this course is the one that taught many
of us what Machine learning means.
This course covers topics related to machine learning, data mining, and
statistical pattern recognition (SPR). Along the way, you will also
learn artificial intelligence (AI), big data analytics, natural language processing, deep learning, and predictive modeling.
You'll also learn how to apply learning algorithms to developing smart robots
(perception, control), text understanding (web search, anti-spam), computer
vision, medical informatics, audio, database mining, and other fields by
drawing on a variety of case studies and applications.
This course is offered by Stanford University and it's trusted by more than
4.6M students a record, probably no other online course has this many
students. This also makes it one of the most popular Coursera courses ever and
most importantly it's free so you can join this course without taking any
membership plan like Coursera Plus or paying for specialization.
Here is the link to join this course - Machine Learning by Andrew Ng
This is another awesome Machine Learning specialization on Courser for
beginners and intermediate-level programmers. This Coursera certification is
taught by Emily Fox and Carlos Guestrin and offered by the University of
Washington English
This course will also help you to gain experience in major areas of Machine
Learning such as prediction, classification, clustering, and information
retrieval through a series of practical case studies.
There are total 4 courses in this specialization:
- Machine Learning Foundations: A Case Study Approach
- Machine Learning: Regression
- Machine Learning: Classification
- Machine Learning: Clustering & Retrieval
Talking about social proof, more than 87K students have already joined this
course on Coursera which shows a lot about the quality and popularity of this
course.
Here is the link to join this certification - Machine Learning Specialization
3. Introduction to Machine Learning by Duke University
Unlike previous Coursera study material, this is one of the best Machine
Learning courses which is offered by Duke University and taught by expert
trainers and researchers like Lawrence Carin, David Carlson, Timothy Dunn, and
Kevin Liang.
This course will teach you the basics of machine learning models (logistic
regression, multilayer perceptron, convolutional neural networks, natural
language processing, and so on) and tell you how these models can solve
complex problems in a variety of industries, from medical diagnostics to image
recognition to text prediction.
Talking about social proof more than 157K students have already joined
this Machine learning introduction course on Coursera which shows a lot
about the quality and popularity of this program and I highly recommend this
to beginners.
Here is the link to join this course - Introduction to Machine Learning Course
Mathematics is one of the important skills for Data scientists but is often
ignored. Many people I met and talked to want to learn Data Science and
Machine learning but they don't want to learn Mathematics and Statistics which
are foundations of Data Science.
If you truly want to become a proficient and competent Data Science then don't
ignore Mathematics and that's where this Machine learning certification program from
Coursera and Imperial College London will help you.
This specialization aims to fill that gap by bringing you up to speed on the
underlying mathematics, developing an intuitive understanding, and connecting
it to Machine Learning and Data Science.
There are 3 courses in this certification program:
- Mathematics for Machine Learning: Linear Algebra
- Mathematics for Machine Learning: Multivariate Calculus
- Mathematics for Machine Learning: PCA
Talking about social proof more than 138K students have already joined these
Mathematics for Machine learning courses on Coursera, which shows a lot about
the quality and popularity of this program and I highly recommend this to
every data scientist and machine learning engineer.
Here is the link to join this course - Mathematics for Machine Learning Specialization
The Data Science Machine Learning course is offered by one of the oldest and most
famous technology companies IBM. This is an excellent course for beginners who
wants to start their career in Data Science, more than 12% of people who have
joined this specialization have started their career which is
remarkable.
This course is designed for people serious about becoming data
scientists but don't yet know where to start. It introduces
some basic concepts and tools used by data scientists.
It's also a very hands-on course where you will learn practical data science
through guided lectures, labs, and projects in the IBM Cloud; you’ll also get
hands-on experience tackling interesting data problems from start to finish.
There are 5 courses in this specialization:
- Python for Data Science, AI & Development
- Python Project for Data Science
- Data Analysis with Python
- Data Visualization with Python
- Applied Data Science Capstone project
Here is the link to join this program - Applied Data Science
This is one of the most popular Python courses on Coursera and is suitable for beginners and intermediate developers who want to learn the Python
programming language. This course is offered by the University of Michigan, and more than 1.2 million students have joined this course which is a record
in itself and makes this course the most popular Coursera course for Python.
This program is also a Coursera specialization which means this is not just
one cours but a collection of courses. In fact, there are 5 courses on this
list to teach you essential programming concepts, including data
structures, networked application program interfaces, and databases, using
the Python programming language.
Here are things you will learn in this course:
- How to Install Python and write your first program
- Describe the basics of the Python programming language
- How to use variables to store, retrieve and calculate information
- How to work with core programming tools such as functions and loops
Here is the link to join this course - Python for Everybody
That's all about the
Best Machine Learning and Data Science certifications and courses for
Beginners in 2023. Conclusion: there is no surprise that all of these courses are from Coursera, one of my favorite learning platforms and the best one when it comes to Data
Science and Machine Learning.
These are also the most popular Machine learning and Data Science courses
you can join on Coursera in 2023, but if you want to check out Data Science
courses from other platforms, then you can also refer to my earlier article
about data science and machine learning courses.
Other Coursera and Programming Articles you may like
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- 5 Data Science degrees you can earn on Coursera Online
P. S. - While you can join all these Coursera courses individually, I highly
recommend you to go for Coursera Plus, as with just $59 per month, you get
unlimited access to 7000+ Coursera courses, professional certificates, and
specializations.
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