此课程适用人群: 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.


制作方:   杜克大学

  • Daniel Egger

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

    Pratt School of Engineering, Duke University

  • Paul Bendich

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

    Mathematics
级别Beginner
承诺学习时间Four weeks, 3-5 hours per week.
语言
English
如何通过通过所有计分作业以完成课程。
用户评分
4.4 stars
Average User Rating 4.4查看学生的留言
授课大纲

常见问题解答
运作方式
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

获得正式认证的作业,并与朋友、同事和雇主分享您的成功。

制作方
杜克大学
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.
评分和审阅
已评分 4.4,总共 5 个 160 评分

probability theory was a bit fast but otherwise it was awesome!

at time the formulas are given without proof or intuitive explanations. overall a good basic level course

Great course except for the instructor videos for week 4

Great Course!!!!!