Opiniones y comentarios de aprendices correspondientes a Data Science Math Skills por parte de Universidad Duke
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Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)
Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)
276 - 300 de 2,230 revisiones para Data Science Math Skills
por 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
por Santosh s
•This is a well-designed course for someone looking to revise/learn/sharpen data science math skills. Thoroughly enjoyed the course.
por 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...
por 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.
por Priyankanayakini
•Data science and math skills is a very good course. Very interesting to learn and given a good knowledge. Thank you Courseera.
por Dibyanshu S D
•it was great and brainstorming session. In fact the probability session was a bit tough and tricky. Altogether a great experience.
por Md A R
•Good course outline and instructors are also well qualified. Would be better if they suggested some additional reading materials.
por nisha20181
•I have learn many things from this course such as algebra, equations,and other math problems. It has given me many information .
por 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.
por Jonathan D M
•The basics of math were explained in an easy to understand manner with relevant examples and extremely helpful course material.
por 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.
por Luis M B G
•Me ha servido pare recordar conceptos y empezar a aprender probabilidad. El curso está muy bien explicado.Me ha gustado mucho
por SAUVIK J
•A bit more information regarding Bayes theorem, Examples and how to tackle them would be better. Other than that it was good.
por Jay B
•I have fun sooo much :) Its a great course and highly recommended to anyone who wants to learn and review about probability.
por Mohammad D A
•One of the best fundamental mathematics course I have stumbled upon. Highly recommended for anyone who is a math enthusiast.
por Rodolfo S
•Great course! Great material! It has been fun to learn and beginning a data science path with this outstanding introduction.
por Akula B R
•THE COURSE HAS BEEN BUILT IN A PROGREESIVE WAY Y BUILDING BASICS REQUIRED FOR BAYESIANS AS WELL AS SOME PROBABILITY THEORY.
por 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!
por Adarsh K P
•Really great course. Helped me brush up on lots of math related topics that would be useful for me in my upcoming courses.
por 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
por Alex T
•Best way to get started in basic data science maths. A+ for the simplicity and straight-forward explanation!!! Loved it!!!
por One T
•Some of the things I learned were very challenging and I will be reviewing but this was overall a very informative course.
por Harry M
•Thanks a lot! It's a huge important course, really... Thanks. Because I want to become a data scientist, so thanks, again.
por 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.
por Tyler D
•Informative and quick, not a big math fan but it wasn't overly painful. Definitely helped my understanding of Logarithms.
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