Probability and Statistics Made Easy: Essential for Data Scientists

[@Okay_nl]

You’re one of the best teachers out there!

[@emma_ding]

Thanks Tram! I appreciate the comment! :)

[@abhishekghosh7179]

thank u for your knowledge mam it helped me to understand concept better.

[@jasdeepsinghgrover2470]

One line answer in my opinion: When the sample space is completely known then probability otherwise statistics. As soon as you make certain distribution and correlation assumptions, statistics problems can be handled with probability. Please correct me if I am wrong. I believe even the most complex methods like MCMC should come in probability while some of the most practical ones like Bootstrapping, simulated annealing (non-linear optimization on data without assumed distribution) should come in statistics.

[@tushb8532]

I understood the concept and relationship. Thank you ❤!! Best teaching.. also if I take ur course will be assisting job placement. Plz let me know

[@danielrad7991]

On the slide "Probability vs Statistics", I think the first bullet point should be "...to model non-deterministic systems", rather than "unpredictable systems"

[@georgezevallos]

World class content!

[@user-qt1jI7jc7r]

thank you so much ❤❤❤

[@mayonnaisebagel9848]

Thank you so much that’s really helpful!

[@cococnk388]

Very valuable