Udemy

Python For Machine Learning and Data Science

Are you are looking to learn Python for machine learning and data science? If yes, we highly recommend that you take a look at Jose Portilla’s futuristic course: 2021 Python for Machine Learning & Data Science Masterclass (View here). This course went live this year on Udemy and has already been received pretty well by the learners.

As of November 3rd, 2021, 40,771 learners are learning from this course. The rating of this self-paced class is 4.7/5 after 4643 reviews. Currently the course is available at discount, learners can consider enrolling in it today.

More about this Python course

This course consists of 14 sections and 142 lectures. We highly recommend that you take each section the way it is presented by the instructor. And, if you are familiar with a particular section or lecture, you can always skip that and move onto the next one.

Overall, the course is 44 hours long, containing 231 lectures, covering everything there is to learn.

The course content also includes:

33 downloadable resources
Coding exercises
6 articles
Questions and answers forum, so that you can get all your answers from fellow students or instructor himself
Lifetime access to the course on one time small fee
And, if you are not happy with the content, you are free to ask for refund within 30 days

To learn more about the course, please visit the course page.

About the Instructor

The instructor of the course Jose Portilla. He is the one of the most popular Udemy instructors. Overall, he has over 2.53 million enrollments in his 37 courses on Udemy. This vastly experienced instructor holds BS and MS in Mechanical Engineering from Santa Clara University.

Jose Portilla also has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Overall, a gem of a teacher to learn Python for Machine Learning and Data Science.

If you have any questions about Python For Machine Learning and Data Science course or in general, please contact us.

Cheers