Для кого этот курс: This course is for anyone who has basic math skills, but is interested in learning or relearning algebra or pre-calculus so they can be successful in other data science math courses.


Автор:   Университет Дьюка

  • Daniel Egger

    Преподаватели:    Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University

  • Paul Bendich

    Преподаватели:    Paul Bendich, Assistant research professor of Mathematics; Associate Director for Curricular Engagement at the Information Initiative at Duke

    Mathematics
LevelBeginner
CommitmentFour weeks, 3-5 hours per week.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
Программа курса

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Задания курса

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Авторы
Университет Дьюка
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.
Рейтинги и отзывы
Оценка 4.4 из 5 по 117 отзывам

Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.

Great course covering the fundamentals which I had largely forgotten (not used) since college.

Good course to cover all the basic maths related to data science

Awesome course!