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。
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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。
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.
What you'll learn
- 数据分析的主要概念以及技术
- 与数据相关的知识产权
- 如何利用高级计算机系统有效的管理大型数据
- 如何将复杂的数据集可视化
What's inside
Three courses
Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法
(56 hours)
Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法
(56 hours)
Data Science: A New Way of Thinking | 数据科学导论
(64 hours)
Data Science: A New Way of Thinking | 数据科学导论
(64 hours)
Advanced Big Data Systems | 高级大数据系统
(64 hours)
Advanced Big Data Systems | 高级大数据系统
(64 hours)Save this collection
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