Let's discuss online machine learning and data science courses
1. Understanding Machine Learning by Pluralsight
This course is a quick introduction to machine learning. No prior knowledge is required. The major topics covered include what machine learning is and what it can be used for, the machine learning process, and the basic concepts and terminology of the field.
This course is one of the most comprehensive and popular course for Machine Learning. You will be able to explore the open-source programming language R and learn about training and testing a model as well as using a model. By the end of this course, you’ll have a clear understanding of exactly what machine learning is all about.
2. IBM Data Science Professional Certificate
During this course, you will develop hands-on skills using the tools, languages, and libraries used by professional data scientists. In this course, you will learn what data science is, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist.
You will also Apply various data science skills, techniques, and tools to complete a project and publish a report.
3. Machine Learning A-Z: Hands-On Python & R In Data Science
In this course, you will master the Machine Learning in Python & R and will get a great intuition of many Machine Learning models. You will also make accurate predictions make powerful analysis and make robust Machine Learning models.
Not only you can create strong added value to your business but also use Machine Learning for personal purposes.
You will be able to handle specific topics like Reinforcement Learning, NLP, and Deep Learning after doing this course. Handle advanced techniques like Dimensionality Reduction, Know which Machine Learning model to choose for each type of problem, Build an army of powerful Machine Learning models and know, how to combine them to solve any machine learning problem.
4. Become a Machine Learning Engineer: Nanodegre
This is a nanodegree program by Udacity. You will learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Also, you will gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in the industry.
End Notes:
In this article, we discussed the four most famous and useful machine learning courses and certifications. I hope this will be useful to you. In case you want to know about more courses and certifications please feel free to watch the below video.
Happy Learning !!
