What to do after completing Machine Learning Specialization Course?

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I am going to complete all three course in the machine learning specialization course from coursera, and currently, i m in the second course for advanced one and have almost completed it. As these course contains the information about machine learning, but after that i m sort of confused what to do?

For now i m thinking about getting my math part strong. But i also want to do more of the coding in machine learning parts, as i m a beginner, i want to take part in the company hiring process and learn there, so should i proceed with that? and also about the projects, could you guys please suggest me some, to get a good grasps and get confident in machine learning journey?

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I recommend you attend the Deep Learning Specialization.

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sorry for not mentioning earlier, but what about real life experience?
and also can you help me to know what the courses in coursera says about degree affiliation? stating that if i did this course it it will be equal to this year of master degree, is it?

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Sorry, I don’t have any academic advice regarding Coursera. I’m just a mentor for DLAI courses.

I recommend you improve your programming skills, for whatever platform you wish to use. Python is a popular choice.

For gaining experience, you can use Kaggle for practice exercises, they have some useful tutorials. They also have an active community.

For self-guided practice, you can get free datasets online (from sites like the “UCI Machine Learning Repository”), and work on your own.

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