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Tsinghua University

数据科学 | Data Science

Tsinghua University via edX Professional Certificate





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.


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


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


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


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



Taught by

Chun Yuan, Juan He, Zhi Wang and Bo Yuan



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