8 Best Coursera Machine Learning Courses [2021 JULY]

best coursera machine learning course class certification training online

Our team of experts compiled this list of Best Coursera Machine Learning Courses, Tutorial, Classes, Training, and Certification program available online for 2021. This list includes both free and paid resources to help you learn different courses available on Coursera. Also, these courses are ideal for beginners, intermediates, as well as experts. You may also be interested in having a look at some of the best coursera courses.


8 Best Coursera Machine Learning Courses & Certificate [2021 JULY]

1. Best Coursera Machine Learning Course by Andrew Ng

This is the highest rated Machine Learning course offered by Stanford University on Coursera that will guide you to the most effective techniques of machine learning and how to apply these techniques to new problems. The course content offers a broad introduction to machine learning, data mining, and statistical pattern recognition. While completing the course, you’ll cover topics like Supervised learning, Unsupervised learning, and Best practices in machine learning. The instructor, Andrew NG, is the founder and CEO of Landing AI – a tech company based on artificial intelligence and machine learning, he will train you in every aspect of ML with practical assignments. If you are looking at other courses, don’t forget to check out our compilation of Machine Learning Courses.


Key USPs –

– The highest rated and most taken Machine learning course available online

– Brief you about every concept of machine learning from the basics to advanced level

– Learn how to apply learning algorithms to structure smart robots, text understanding, computer vision, audio,  and other areas of ML

– Gain practical knowledge to apply machine learning techniques to real-life problems

– Know about linear regression as well as logistics regression and the difference between them

– Get practice exercise, video tutorials, and hands-on projects that will improve your skills and test your knowledge

– Become certified in ML after completing the course


Duration: 55 hours, 5hours/week

Rating: 4.9 out of 5

You can Sign up Here


Review: Very helpful and easy to learn. The quiz and programming assignments are well designed and very useful. Thank Prof. Andrew Ng and Coursera and the ones who share their problems and ideas in the forum. – ML



2. Best Coursera Machine Learning Data Science Course by IBM 

This is a professional certification program in Data Science offered by IBM that is specially designed to help individuals develop skills and experience to make a career in data science or Machine Learning. The certification program consists of 9 different courses that will teach you the latest technologies and techniques of data science with a wide variety of topics, including open source tools, Python, SQL, Data analysis, Methodologies, Data visualization, and machine learning. After finishing all these courses, you’ll be awarded the professional certificate from IBM that will help you get a job easily in the data science field.


Key USPs –

– One of the best certification programs to learn and understand all concepts of Data Science

– Created by the best instructors of Coursera and IBM professionals to help you make a career in data science

– Every course is included with multiple exercises, hands-on projects, and video tutorials to improve your knowledge

– Practice your skills on IBM cloud with real data science tool and real-world data sets

– After completing the certification program, you’ll also receive a Digital Badge from IBM to recognize your proficiency in data science


Duration: Self-paced

Rating: 4.6 out of 5

You can Sign up Here



3. Deep Learning Course by Andrew Ng

If you want to get into the AI field, then this Data Science Specialization offered by deeplearning.ai is the best choice for you. It is one of the best deep learning specialization program available online, consisting of five different courses that will help you learn and understand the foundations of deep learning, building neural networks, and leading successful machine learning projects. All these courses are provided by top instructors and industry professionals who are teaching at Stanford University. They make sure that every individual enrolling into this program get accurate knowledge of Deep learning concepts. Also, on completion of the specialization, you’ll receive a certification of completion from deeplearning.ai.


Key USPs –

– Become a good learner as well as a good leader in deep learning projects with this course

– Know about Convolutional networks, LSTM, Dropout, RNNs, BatchNorm, and many other subjects

– Work on case studies from healthcare, sign language reading, and natural language processing

– Hear personal stories and get career advice as well from the top leaders in deep learning

– Practice your deep learning ideas in Python and TensorFlow with the hands-on projects and tutorials


Duration: 3 months

Rating: 4.9 out of 5

You can Sign up Here



4. Best Coursera Machine Learning Python Course

Python has become a necessary language for every individual who wants to get into development, AI, or Machine learning. This Python specialization program offered by the University of Michigan will help you learn every necessary element of Python to build a career. With this specialization, you’ll learn the fundamental programming concepts, such as data structures, networked application program interfaces, and databases. It also includes a capstone project that will teach you how to use technologies for designing and building your own applications for data retrieval, processing, and visualization. On completion of the project, you’ll receive a certification of completion from Coursera.


Key USPs –

– Get into basics as well as advanced level learning of Python programming language

– Learn how to program and analyze data with Python and develop programs to gather, clean, analyze and visualize data

– Get assistance and 24/7 support from the top instructors of Coursera

– Understand the fundamentals of the structured query language and database design

– A self-paced program that allows you to learn from your convenience without any deadlines

– Access practice quizzes, readings & videos, hands-on projects to enhance your knowledge in the field


Duration: Approx. 3 months

Rating: 4.9 out of 5

You can Sign up Here



5. Applied Data Science with Python by University of Michigan

This is a specialization program of applied data science included with Python offered by the University of Michigan to help those individuals who want to learn data science as well as Python. This specialization program will introduce you to multiple concepts of data science with Python programming language. Taking this specialization will help you apply statistically, machine learning, information visualization, and social network analysis techniques through popular python toolkits like matplotlib, pandas, etc. It consists of five different courses that focus on various subjects in data science and python language. Completing this specialization will help you earn a certificate of completion from Coursera.


Key USPs –

– An excellent specialization program specially designed for individuals who have basic Python knowledge and want to enroll in data science

– Learn about applied plotting, charting & data representation in Python, and know about applied machine learning in Python

– Learn how to analyze the connectivity of a social network, and conducting an inferential statistical analysis

– Get guidance from the top instructors of Coursera at every stage of the specialization

– Avail multiple exercises, hands-on projects, and video tutorials to analyze your skills and improve your knowledge


Duration: 5 months

Rating: 4.5 out of 5

You can Sign up Here



6. Mathematics for Machine Learning by Imperial College London

When you get into higher level concepts of Machine learning, you’ll need to clear your basics in mathematics, and this specialization program offered by Imperial College of London will help you achieve that. With this specialization program, you can clear your basics concepts of mathematics that will be required in Machine Learning and build an understanding related to machine learning and data science. It consists of three different courses, each of which is designed to gain knowledge of different subjects of mathematics for ML. Also, this specialization is designed by professional instructors of Imperial College of London, who are very knowledgeable in every concept of mathematics related to machine learning and data science.


Key USPs –

– Get back to basics with this mathematics specialization program to freshen up your skills

– Learn about linear algebra and multivariate calculus with new concepts that you never learned in the school

– Know about principal component analysis to reduce the dimensionality

– Access multiple video lectures, practice exercises, hands-on projects to gain insights into deep learning of mathematics

– Hundred percent flexible course can be availed from your own pace without any deadlines


Duration: 2 months

Rating: 4.7 out of 5

You can Sign up Here



7. Best Coursera Machine Learning Artificial Intelligence Course

If you belong to any other field than engineering that doesn’t mean you cannot get into AI, and this course proves that. Coursera provides AI for Everyone course offered by deeplearning.ai that help every individual learn Artificial intelligence for their organization. In this course, you’ll be guided to basic concepts of artificial intelligence that will help you understand it better. Also, you’ll learn the meaning of common AI terminology, with neural networks, deep learning, and machine learning. The instructor, Andrew Nag, is a professional in the AI field and runs his own organization named Landing AI.


Key USPs –

– Know what AI is capable and not capable of after taking this course

– Learn how to find opportunities to apply AI to problems in your organization

– Know how it feels to build machine learning and data science projects, and how to work with AI teams for developing AI strategies

– Avail multiple exercises and video lecturers to clear your doubts and problems related to course

– Get 24/7 support and assistance from a team of experts

– Hundred percent flexible online course can be taken from any place


Duration: 9 months

Rating: 4.8 out of 5

You can Sign up Here


Review: I now are equipped with right attitude to AI projects, it’s limitation and how it will affect our society/jobs. It is very beneficial for me to set up the right mindset to carry on to the next AI courses. – By HC



8. Data Engineering on Google Cloud Platform

Individuals who are interested in learning Data engineering, Big data, and Machine Learning on GCP can take this specialization offered by Google Cloud. It is a five-week specialization program that will introduce you to designing and building data processing systems on the Google Cloud platform. What makes this specialization unique is the combination of presentations, hands-on labs, and demo videos that are designed to help individuals learn design data processing systems, build end-to-end data pipelines and analyze data. It covers all the essential data topics, such as structured, unstructured, and streaming data. On completion of the specialization. You’ll receive a certification of completion from Google.


Key USPs –

– Specially designed for developers who are involved in cloud technology and processes

– Understand how to leverage unstructured data with Spark and ML APIs on Cloud Dataproc

– Learn how to use Google BigQuery to derive business insights from extremely large datasets

– Learn how to implement autoscaling data pipelines on Cloud Dataflow

– Include practice quizzes, practical exercises to improve your knowledge

– Absolutely free without any registration fee or hidden costs


Duration: 1 month

Rating: 4.5 out of 5

You can Sign up Here


So those were the best machine learning programs available on the Coursera platform. Hope you found the one that suits your needs. For more courses and abundant learning, stay tuned to Digital Defynd.