Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
Data Science Math Skills
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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来自DATA SCIENCE MATH SKILLS的热门评论
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)
This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.
The content of the course as a whole is interesting as a good synthesis of basic skills, even though the content of the weeks 3 and 4 lacks of clarity compared to the content of the weeks 1 and 2.
Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.
I thought this course was a nice refresher on basic mathematical concepts and it introduced me to set theory and probability very well! I think I am better prepared for data science afterward!
First 3 weeks were easy going and the last week was a bit more challenging. I think more examples could be included in the lectures to understand Bayes' Theorem at the most fundamental level.
Good refresher. Weeks 3 and 4 are much more difficult to follow than one and two. Part of this is due to the subject matter but also a change of teacher / and style makes it more difficult.
Looking forward to advanced courses on Linear algebra, eculidean geometry that would make the concepts of vectors, matrices, plane and any application of those in the data science problems.
Loved it! Started off easy but got a little tricky in the end with Bayes Theorem. Glad I know which data / math areas I need to brush up on for my job. Thanks, Duke University and Coursera!
sometime the lecture is too easy to understand and after some week it goes too hard to understand even it not a hard thing but sometime the lecturer make it so hard so it can make confuse.
A great review of A level statistics which I had long since forgotten but suddenly found myself needing again. A really good balance of work through the weeks and at just the right level.
The course was very good and well thought of, a great refresher for very important concepts, the instructors are very good at simplifying the material and making it very understandable.
Course is really good for beginner who wants to start career with data. Especially is possible understand everything by video companion which explain math skills in practice exercises.
I don't quite understand the last chapter about probability. Please use more examples like in quiz to demonstrate the concept one by one. Thanks for making education free to all of us.
Great course. First three weeks are a bit basic, and the fourth week is more challenging. Highly recommended. Hope there will be more on derivatives and courses like this. Thank you!
Could have a little more of theory on how to solve the problems. But otherwise a good understanding of the basics of the statistical and probability maths required for Data Analysis.
The Basics were covered pretty nicely. The instructors had given it their all to explain the concepts. The tests did test you pretty well on the concepts you learnt from the videos
It was wonderful course to do and content was good, but there are some improvement needed inside last chapter.\n\nplease add some more slides inside binomial and bayes ' theorems
Really good to remember some maths stuff and to learn and consolidate new maths stuff that I thought I knew (but actually only learnt about it in this course).\n\nGreat course
A great introduction to the basic Mathematics skill needed to start Data Science Career. A must course for does not have the mathematics background required for Data Science.
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.