Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法
About this courseSkip About this course
Despite the large volume of data mining papers and tutorials available on the web, aspiring data scientists find it surprisingly difficult to locate an overview that blends clarity, technical depth and breadth with enough amusement to make big data analytics engaging. This course does just that.
Each module starts with an interesting real-world example that gives rise to the specific research question of interest.
Students are then presented with a general idea of how to tackle this problem along with some intuitive and straightforward approaches.
Finally, a number of representative algorithms are introduced along with concrete examples that show how they function in practice.
While theoretical analysis sometimes overcomplicates things for students, here it’s applied to help them better understand the key features of the techniques.
At a glance
What you'll learnSkip What you'll learn
- Basic data science concepts
- Typical data mining techniques
- Applications for data mining
- A taste of research in data mining
- Funny stories about data science
Learner testimonialsSkip Learner testimonials
“I have studied some related online courses before. I found this one to be truly fascinating with well-organized and beautifully presented contents. Couldn’t wait for the next module!”