Opiniones y comentarios de aprendices correspondientes a Data Science Math Skills por parte de Universidad Duke

This is a real good and inspirational start in data science education, especially for people, who have some fear of math (like me:)). This course is enough complicate to learn something new, but simultaneously not too hard, so you dont loose motivation for studying.

The course is helpful both as a refresher and a introduction. It made me understood all the basic math skills behind the data science Field. Very good explanation of probability part and so on. I found the week 4 content quite challenging, but got there in the end!

I learned all the necessary basic mathematical skills for Data Science through this course. Good explanation from the lecturers. I highly recommend this course for new and intermediate students who are learning Data Science to improve their mathematical knowledge.

I had a really easy time going through the first 3 weeks of the course, but then the 4 weeks were so hard. I got through it, but it was hard. The 1st-3rd weeks were just going through the same things I had learned again, but the 4th week was almost completely new.

Great course, it gives me a brief review about the topic that might be needed as Data Scientist. Week 4 videos have room for improvement. It might need a longer time to explain the topics so learners could understand better the topics that is discussed in Week 4.

I think this course helped me identify certain areas of weakness within my education that I have already received. As a result, I know where to start in order to shore up the gaps that formal education has solidified. Overall it is a great introductory course.

Cleared my concepts through this course .I had some basic knowledge regarding this modules so it was not hard for me to complete it.

The way tutors explained was commendable!!

I would love to suggest my fellow to enroll in this course to brush up their skills.

Thank you, Coursera for this course for free. It was really helpful. It covers almost all the basic math term for Data Science. Looking now for intermediate level course of the same. Hopin that very soon, I will be gifted with a new free course. Thanks again.

Something good to learn and in fact the session are so precise to understand that you don't need anyone's help at all to learn thing. Just go through the video lectures. It's that simple. Thank you Coursera for this wonderful journey and amazing sessions.

First three weeks were mostly review, but the fourth week was incredibly helpful. Would appreciate some more background/derivation of the binomial theorem - it was hard for me to develop an intuition for it in the same way I could for the Bayesian theorem.

I studied mathematics and statistics in university but had not practiced it for many years. The course was challenging and interesting and refreshed my memory. I think the course would be very very challenging for those with no background in math.

Clear and straightforward introduction to the key mathematical concepts that underpin statistics and data science. Video companions and practice quizzes complement the lectures in an effective way and prepare the student well for the graded quizzes.

Very good course. Really enjoyed the explanation very concise and clear. This is however not exhaustive for anyone to gather every bit of possible knowledge in Data Science, do keep that in mind. But this definitely sets the foundation correct.

Great course brushing off math skills with quiz in the end of each module. The last module is the most difficult, it'll be better if more examples be demonstrated. Good pace and a good course for those who need to get an idea of some topics.

Very informative and I learned a lot. I enjoyed taking the practice quizzes and the exams. I failed, I made mistakes yet what is the most important I learned a lot. Thank you Coursera and DOST-CARAGA, the Philippines for the opportunity.

Effective way to refresh and add the Data Science math skills! The course overall was great. It was well taught-- very relevant and clear for the most part. Thanks a lot! I think I am better prepared for data science afterward!

Pretty fun and understandable. The last week resources and content was quite deep and confusing when it was explained. From the exercises I've found some errors in the solutions. Briefly, It fulfills my expectations pleasantly.

Extra grateful for the refresher on essential math topics needed for data science. Week 1-2 is such a great way to review pre-calculus concepts. Week 3-4 modules were extremely helpful for those in need of Stat refreshers.

Good Course for Beginners, with lot of insights, and its entirely basic ,anyone without any prior knowledge can do the best with this kind of course;And I thank Coursera as well as the Instructor for offering this course.

Well, except for the last quiz of probability (basic and intermediate) others were too easy, and also this course is highly recommended for the ones who really are entirely new to math concepts present in this course.

buen curso para recordar y aprender los conceptos que se ven en estadística básica, y algunos temas que en su momento se vieron de manera muy extensa y ahora se ven de manera resumida y aplicada , de manera resumida.

It was delightful. I think this was a great introductory course. I still had to go on for more learning material for the harder topics, but the structure of the course really provided the backbone on what to learn.

Maybe the first three chapters are a little bit easy; but the fourth chapter is challenging. This is my very first Coursera course, and I have learned a lot. Shout out to Prof. Daniel Egger and Prof. Paul Bendich!

I was looking for a math class to refresh my math skills in preparation for getting into the field of Data Science and I am very glad that I found this course. It was well taught and very clear. Thank you so much.

This course really gives me the very good understanding about the basic concepts which are necessary in the field of Data Science. A must try course for all beginner level who are keen in learning Data science.