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Starts : 2015-12-07
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Coursera Free Closed [?] Mathematics English BabsonX Beams Customer Service Certification Program Differential+Equations Nutrition Web Design

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit. This is the seventh course in the Johns Hopkins Data Science Specialization.

Starts : 2015-12-07
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Coursera Free Closed [?] Mathematics English BabsonX Beams Customer Service Certification Program Differential+Equations Nutrition Web Design

Learn how to draw conclusions about populations or scientific truths from data. This is the sixth course in the Johns Hopkins Data Science Course Track.

Starts : 2013-08-31
32 votes
Coursera Free Mathematics BabsonX Customer Service Certification Program How to Succeed Nutrition

這是一個機率的入門課程,著重的是教授機率基本概念。另外我們的作業將搭配臺大電機系所開發的多人競技線上遊戲方式,讓同學在遊戲中快樂的學習,快速培養同學們對於機率的洞察力與應用能力。

Starts : 2013-12-01
No votes
Coursera Free Mathematics BabsonX Customer Service Certification Program Nutrition

课程从问题开始揭示一些数学思想形成的过程,和听众一起从思想上重走一遍前辈们走过的路,体会数学抽象的魅力。 In this course I share the processes which formed the core concepts of mathematical philosophy, walking with students as they experience, learn and enjoy mathematical abstraction.

Starts : 2014-08-04
No votes
Coursera Free Closed [?] Mathematics Turkish BabsonX Customer Service Certification Program Nutrition

Ders çok değişkenli fonksiyonlardaki iki derslik dizinin ikincisidir. Birinci ders türev ve entegral kavramlarını geliştirmekte ve bu konulardaki problemleri temel çözme yöntemlerini sunmaktadır. Bu ders, birinci derste geliştirilen temeller üzerine daha ileri konuları işlemekte ve daha kapsamlı uygulamalar ve çözümlü örnekler sunmaktadır. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır. 

Starts : 2014-06-04
No votes
Coursera Free Closed [?] Mathematics English BabsonX Customer Service Certification Program Nutrition

Calculus One is a first introduction to differential and integral calculus, emphasizing engaging examples from everyday life.

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