Which of the two MOOCs will be a better option? Illinois DM Specialization or Stanford's Massive Data Mining?
I want to make sure by the end of the course I would have enough artifacts to apply for intern positions in Data Science. I am currently in the r&d department of a company for 6 months and my work is going to involve ml and stats. Right now brushing on stats using Duda Hart.
Option one : University of Illinois Data Mining Specialization.
Option two : Mining Massive Datasets by Stanford.
I have 6 months, and along with the current internship's experience and one of the above courses I want to be able to apply to data positions as an intern in companies in the states.
Getting good practical artifacts is one thing which would help.
What else could I do in this period of 6 months to make my CV strong enough for companies abroad?
I am not willing to pay a total of 300$ unless the difference in the courses is really really worth it.