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15 Best Machine Learning Online Courses with Certification

According to a report by Gartner, the market for Artificial Intelligence professionals is going to sore 38% by 2020. As more and more company starts providing A.I based services the demand for people with the appropriate skills needed is getting high every day.

The problem with this rapid growth is that most of the universities are not able to catch up with all the new innovation going on in the field of A.I and Machine Learning, leaving many students unprepared for this new emerging job market.

As a result, pursuing an online course which also provides certification can surely help you advance your career.

With all the excitement in the tech community to learn Machine Learning, there is a confusion as well especially on the type of courses one should take to become job ready.

Through this article, we intend to clear the confusion and provide a well-curated list of some of the best Machine Learning courses that you can take.

Before we dive into the list let us start by defining machine learning.

Machine Learning can be defined as:

Machine Learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

How the List was Prepared

We took into account a number of factors such as no. of enrollments to the courses, ratings by the users, cost and by talking to many people in the tech industry who took the course and got the job.

Our Top Picks

Here are best picks among all the courses we have listed in this article.

Rank Course Name Instructor Price Link
1 Machine Learning Stanford University Free ($80 for Certificate) Learn More
2 Machine Learning A-Z Udemy $200 $10.99 Learn More
3 Machine Learning Nanodegree Super Data Science $999 Learn More

Here we present a complete list of 15 best courses in Machine Learning (2018) in order of ranking.

1. Machine Learning

Taught by Andrew Ng, this is perhaps the best Machine Learning course out there, Andrew explains every topic with simplicity and dives deep into the concepts, the great thing about this course is that you get to know what’s under the hood in Machine Learning.

The only argument against the course is that it is taught in Octave whereas most of the work in Machine Learning is done in python or R. However, Andrew Ng himself explains why he teaches in Octave:

In the past, I’ve tried to teach machine learning using a large variety of different programming languages including C++, Java, Python, NumPy, and also Octave … And what I’ve seen after having taught machine learning for almost a decade is that you learn much faster if you use Octave as your programming environment.

The program has been taken up by more than 1,678,000 students & professionals globally, who have given it an average rating of a whopping 4.9 out of 5.

You can enroll for the course for free, but in order to get a certificate, you will have to purchase the certificate (Which we highly recommend). The cost of the certificate is around $80.

Topics include:

(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).

(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).

(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Offered By Instructor Price Platform User Rating Link
Standford University Andrew Ng Free ($80 for Certificate) Coursera 4.9/5.0 Learn More

Testimonials of the people who took the course:

This course is so fantastic. I have obtained much more knowledge in Machine Learning although I am just at the beginning level, but really excited to get into AI world. Huge thanks to Prof Ng and Moderators for great works.

I enjoyed this course, there was a good balance between theory and practice, with the right amount of challenge for a beginner in machine learning.

I feel I acquired enough knowledge to build, train and debug simple machine learning models on my own and I am looking forward to learning more about machine learning.

The forum was also great, and the teachers on the forum were key to succeed in this course.

An excellent introduction to the concepts behind this field. Has really helped me in my work as an investor to conceptualize the innovations which underpin many businesses today. Don’t underestimate the time required to make the most of this course, particularly the coding exercises.

2. Machine Learning A-Z™: Hands-On Python & R in Data Science

This is yet another great course offered by SuperDataScience Team at Udemy, taught by Kirill Eremenko, Hadelin de Ponteves the course is designed to be fun and exciting, but at the same time dives deep into Machine Learning.

Unlike Andrew Ng’s Machine Learning course this course is designed in Python and R. Both being the most popular programming languages used in Machine Learning.

The fact that 201,000+ students have taken this course with an average rating of 4.5/5/0 is self-explanatory on why this course is 2nd on our list.

The course cost around $200 but by clicking the link below you can purchase it for just $10.99 for a limited amount of time.

It is structured the following way:

  • Part 1 – Data Preprocessing
  • Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Part 4 – Clustering: K-Means, Hierarchical Clustering
  • Part 5 – Association Rule Learning: Apriori, Eclat
  • Part 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Offered By Instructor Price Platform User Rating Link
SuperDataScience Team Kirill Eremenko, Hadelin de Ponteves $200 $10.99 Udemy 4.5/5.0 Learn More

Testimonials of the people who took the course:

Machine Learning A-Z is a great introduction to ML. A big tour through a lot of algorithms making the student more familiar with scikit-learn and few other packages. The theoretical explanation is elementary, so are the practical examples. ML-az is a right course for a beginner to get the motivation to dive deep in ML.

Kirill and Haedlin are awesome instructors when it comes to machine learning. Never thought that I would be able to understand such a big topic in simple terms. The way they break down complex topics into simple explanations is amazing! Kudos to SuperDataScience Team!

3. Machine Learning Engineer Nanodegree

If you are a software engineer or anyone with STEM background planning to make your career as a Machine Learning Engineer then this is perhaps the best course for you. The course will start by teaching you the basics of Machine Learning such as statistics and various python libraries to advanced level concepts, such as neural networks.

The best part about this course is its emphasis on projects after every section.

The nanodegree is made by curating a large number of lectures cherry-picked from various free courses offered by Udacity, the lecturers range from Georgia Tech to Sebastian Thrun (Founder of Udacity) including many others.

The Nanodegree has a total of 2351 Reviews, with an average rating of 4.7/5.0, the only downside is the cost which is a whopping sum of $999, we recommend this course only to the professionals seeking a well-curated course that teaches them everything from the ground up.

Udacity projects its Nanodegrees to be worth more than the certificates offered by the likes of Coursera and Edx, though the validity of those claims can only be known once you complete the Nanodegree.

The nanodegree is divided into two parts:

Term 1: Machine Learning Engineer – Basics

In this term, you’ll begin by exploring core machine learning concepts, before moving on to supervised and unsupervised learning in a duration of 3 months.

Term 2: Machine Learning Engineer – Advanced

In this term, you’ll cover topics in deep learning and reinforcement learning. The term will culminate with a capstone project of your choosing.

Offered By Instructor Price Platform User Rating Link
Udacity, Kaggle, AWS Udacity Team, Georgia Tech Lectures $999 Udacity 4.7/5.0 Learn More

Testimonials of the people who took the course:

There were parts of the program that were challenging. But all in all it was a very enjoyable and satisfying program and I feel it will help me further my career in machine learning.

Machine Learning Engineer Nanodegree program was an excellent experience for me.

4. Python for Data Science and Machine Learning Bootcamp

No matter if you are a beginner with some programming experience or experienced developers looking to make the jump to Data Science, the course is designed for people from both categories.

It has a total enrollment of over 154,929 with an average rating of 29,551.

Some of the topics covered in the course material are:

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
Offered By Instructor Price Platform User Rating Link
Jose Portilla Jose Portilla
(Original Price $194.99)
Udemy 4.5/5.0 Learn More

Testimonials of the people who took the course:

Good course! A comprehensive course on Data Science and Machine Learning.

Started with apparent no background with python and then with course gave a fair idea about the overall end to end and touching all the aspects and usage of python to different areas.

About tutor, he explains all in the nice and slow pace to get the understanding of the concepts.

5. Machine Learning Certification by University of Washington

This is not just a course but rather a complete specialization on Machine Learning offered by the University of Washington.

The specialization comprises of 4 different courses:

Course 1: Machine Learning Foundations: A Case Study Approach

Course 2: Machine Learning: Regression

Course 3: Machine Learning: Classification

Course 4: Machine Learning: Clustering & Retrieval

The specialization not only focuses on theory but also includes hands-on projects.

Offered By Instructor Price Platform User Rating Link
University of Washington Carlos Guestrin, Emily Fox $49 USD per month Coursera 4.6/5.0 Learn More

Testimonials of the people who took the course:

Excellent course, well thought out lectures and problem sets. The programming assignments offer an appropriate amount of guidance that allows the students to work through the material on their own.

A good introduction to very complicated concepts. I now have the tools to learn more about HHMs and anomaly detection.

6. Data Science Specialization by John Hopkins University

Offered By Instructor Price Platform User Rating Link
John Hopkins University Jeff Leek, Roger D. Peng, Brian Caffo $49 USD per month Coursera 4.6/5.0 Learn More

7. Data Science and Machine Learning with Python

Enrollment: 69,637

No. of Ratings: 10,684

Offered By Instructor Price Platform User Rating Link
 Sundog Education Frank Kane, Frank Kane
(Original Price $159.99)
 Udemy 4.5/5.0 Learn More

8. The Analytics Edge

Offered By Instructor Price Platform User Rating Link
MIT Dimitris Bertsimas, Allison O’Hair $150 USD Edx 4.7/5.0 Learn More

9. Machine Learning Series

Enrollment: 173,130

No. of Ratings: 37,778

Courses: 22

Offered By Instructor Price Platform User Rating Link
Lazy Programmer Jose Portilla
$194.99 $10.99 (Each for 21 Course)
Udemy 4.6/5.0 Learn More

10. Data Science and Machine Learning Bootcamp with R

Enrollment: 32,947

No. of Ratings: 5,693

Offered By Instructor Price Platform User Rating Link
 Jose Portilla  Jose Portilla
(Original Price $194.99)
Udemy 4.6/5.0 Learn More

11. Data Science with Python by University of Michigan

Offered By Instructor Price Platform User Rating Link
University of Michigan Christopher Brooks, Kevyn Collins-Thompson,
V. G. Vinod Vydiswaran, Daniel Romero
$49 USD per month Coursera 4.4/5.0 Learn More

12. Machine Learning with TensorFlow on Google Cloud Platform Specialization

Offered By Instructor Price Platform User Rating Link
Google Google Cloud Training $49 USD per month Coursera 4.5/5.0 Learn More

13. Machine Learning

Offered By Instructor Price Platform User Rating Link
Columbia University John W. Paisley $199 USD Edx 4.3/5.0 Learn More

14. Machine Learning with Python: A Practical Introduction

Offered By Instructor Price Platform User Rating Link
IBM IBM Instructors $29 USD Edx 4.5/5.0 Learn More

15. Implementing Predictive Analytics with Spark in Azure HDInsight

Offered By Instructor Price Platform User Rating Link
Microsoft Graeme Malcolm $99 USD Edx 4.5/5.0 Learn More

We hope this article helped you in finding the best Machine Learning course for yourself. If you want to follow the daily trends in Machine Learning we highly recommend you to follow our twitter account.

About Mayank Tewari

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