数据科学硕士课程

数据科学硕士课程提供了成为一名合格的数据科学家的机会.

Data Science is a fast growing discipline that offers highly rewarding careers both from a financial and intellectual standpoint

With the recent huge growth in Data, it is easy to see why there is an increased incidence of people who are interested in gaining a Masters in Data Analytics and to follow a potentially rewarding career path?

有潜力很大,当涉及到数据科学与数据分析谁发现自己在涉及到这样的事业的人们经常会发现他们在智力奖励方面,往往社会功德很充实.

数据科学是一个快速增长的领域 商业智能软件 并且是在需求技能.

具有数据科学硕士学位将在找工作肯定有助于这个增长领域.

对于本领域的科学家数据需求仍然是极高的, 与IBM日前预测,将有 28% 增加就业数据科学家的数量在未来两年.

一些知名acacdmic instutions该报价数据科学课程:

有一些免费的数据科学课程, 例如EDX提供了一个数据科学基础课程:

本课程是由他们的专业课程证书数据科学的微软和形式部分提供, although it can also be taken as a stand-alone course through EdX. Students are expected to have an “introductory” knowledge of R or Python – the two most popular languages for data science programming at the moment. Subjects covered include probability and statistics, data exploration, 可视化, and an introduction to machine learning, using the Microsoft Azure framework. Although all of the course material is free, 学生可以支付 ($90 在这种情况下) 对完成官方证书.

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