Kursteilnehmer-Bewertung und -Feedback für Data Science Math Skills von Duke University
Über den Kurs
Top-Bewertungen
This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!
This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.\n\nThank you for a great class!!
251 - 275 von 2,052 Bewertungen für Data Science Math Skills
von MIROTHALI C
•very descriptive and elaborate explanation of concepts. But using blackboard a lot is kind of old fashion. More animations is needed
von krish R
•The course can be made more complex by adding more challenging questions and exploring each of the concepts in a bit more of detail.
von Roopa S H
•first i want to tell thanks becouse giving me that great opportunites and i learn manny things and it will help me to grow my future
von Santosh s
•This is a well-designed course for someone looking to revise/learn/sharpen data science math skills. Thoroughly enjoyed the course.
von VIRAJ P
•it is a very good course to start from the beginning in data science I suggest everyone should take time to spend in this course...
von Asif r m
•Good n best ways of learning and also getting free certificate.i hope all the students will find it best and have learnt in detail.
von Priyankanayakini
•Data science and math skills is a very good course. Very interesting to learn and given a good knowledge. Thank you Courseera.
von Dibyanshu S D
•it was great and brainstorming session. In fact the probability session was a bit tough and tricky. Altogether a great experience.
von Md A R
•Good course outline and instructors are also well qualified. Would be better if they suggested some additional reading materials.
von shruti b
•I have learn many things from this course such as algebra, equations,and other math problems. It has given me many information .
von Kehinde O
•This is a great course for anyone who has little or no experience with elementary algebra and for those who might have forgotten.
von Jonathan D M
•The basics of math were explained in an easy to understand manner with relevant examples and extremely helpful course material.
von Ritima B
•Really a great place to get a free education. I already complete a course and am looking forward to complete my second course.
von Luis B
•Me ha servido pare recordar conceptos y empezar a aprender probabilidad. El curso está muy bien explicado.Me ha gustado mucho
von Sauvik J
•A bit more information regarding Bayes theorem, Examples and how to tackle them would be better. Other than that it was good.
von JAY A B
•I have fun sooo much :) Its a great course and highly recommended to anyone who wants to learn and review about probability.
von Mohammad D A
•One of the best fundamental mathematics course I have stumbled upon. Highly recommended for anyone who is a math enthusiast.
von Rodolfo S
•Great course! Great material! It has been fun to learn and beginning a data science path with this outstanding introduction.
von Akula B R
•THE COURSE HAS BEEN BUILT IN A PROGREESIVE WAY Y BUILDING BASICS REQUIRED FOR BAYESIANS AS WELL AS SOME PROBABILITY THEORY.
von Widjati R P
•The course was good enough. Maybe, after we did the Quiz on Grading, we were given the discussion. Thank you verymuch, Sir!
von ADDANKI R
•Its soo helpful and to the point. It also helped me to revise my basics and quizzes made me to test my potential.
THANK YOU
von Alex T
•Best way to get started in basic data science maths. A+ for the simplicity and straight-forward explanation!!! Loved it!!!
von Saleh A
•Some of the things I learned were very challenging and I will be reviewing but this was overall a very informative course.
von Harry M
•Thanks a lot! It's a huge important course, really... Thanks. Because I want to become a data scientist, so thanks, again.
von Alvaro I
•It's a good course if you want to refresh certain concepts about math that are also related to the field of Data Science.
Coursera Footer
