Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

edX

数据科学 | Data Science

Tsinghua University via edX Professional Certificate

Overview

现如今,数据无时无刻在影响着我们每天的生活。“数据科学”,是一门与数据打交道的艺术,是能够助力你在未来的职业生涯中(金融、电讯、信息技术、互联网、人工智能、教育、运输以及医疗等)走的更远的核心技能。

在这个简明而全面的项目中,您将对数据分析有一个完整的了解,并对如今最前沿的数据挖掘算法以及系统有一个很好的理解。不仅如此,你还能够在第一时间实际应用这些先进技术。最重要的是,数据科学项目为所有想要在就业市场中具有更强的竞争力,为未来学习铺设更加坚实道路的学习者起到一个良好开端的作用。

清华大学是中国的顶尖学府,并在世界高校中名列前茅。成立于2001年的清华大学深圳研究生院旨在将清华大学的研究力量与深圳先进的信息技术以及繁荣的互联网产业相结合进行高级研究生培训。

Data is becoming ubiquitous in the everyday life and greatly affecting the way that we interact with the surrounding world. Data Science, the art of working with data, represents an essential skill for empowering your future career in finance, telecommunication, IT, Internet, AI, consulting, education, transportation, healthcare and so on.

In this concise yet comprehensive program, you will gain a complete picture of data analytics and a good understanding of popular data mining algorithms and systems. You will also have the first-hand experience of implementing and applying these techniques. Most importantly, the program will serve as a good starting point for anyone interested in becoming competitive in the job market and pave a solid road for you to continue your future education.

Tsinghua University is one of the very top universities in China and is also highly ranked in the world. Founded in 2001, its Graduate School at Shenzhen is aimed at high quality research student training by combining the research strength of Tsinghua University and the booming IT & Internet industry in Shenzhen, one of the most innovative cities in China.

Syllabus

Courses under this program:
Course 1: Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法

Unraveling the mysteries of Data Mining and Big Data, this course is a must-have for any budding Data Scientist. 最有趣的理论+最有用的算法=不得不学的数据科学。



Course 2: Data Science: A New Way of Thinking | 数据科学导论

本课程作为数据科学的先导课和认知类课程,致力于以形象生动的教学模式为学生普及数据挖掘、大数据相关的基础知识、核心概念和思维模式,从工程技术、法律规范、应用实践等不同角度描绘数据科学的美好蓝图。



Course 3: Big Data Machine Learning | 大数据机器学习

《大数据机器学习》课程是面向信息学科的高年级本科生或研究生开设的基础理论课,目的是培养学生深入理解大数据机器学习理论基础,牢固掌握大数据机器学习方法,并能够解决实际问题等综合能力。课程的主要内容包括:统计学习基本理论,机器学习基本方法,深度学习理论和方法。



Course 4: Advanced Big Data Systems | 高级大数据系统

高级大数据系统的实现、优化和应用,包括分布式文件系统、MapReduce/Spark、Storm/Spark streaming、Mahout等系统的原理、实现、策略优化。



Course 5: 知识产权法律及实务|Big Data and Intellectual Property Law and Practice

懂得在中国如何运用和保护知识产权,为迎接知识经济时代的全球竞争做好准备。

Understand how to use and protect intellectual property as it pertains data analytics and practices in China. Be prepared for the global competition in the knowledge economy era.



Course 6: 数据可视化|Data Visualization

数据可视化是一项致力于把抽象的数据或概念转化为适于人类理解和接受的视觉化的信息技术,是一个典型的交叉学科。



Courses

Taught by

Chun Yuan, Juan He, Zhi Wang and Bo Yuan

Related Courses

Reviews

Start your review of 数据科学 | Data Science

Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free