The Chinese University of Hong Kong

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SEEM 2460 Introduction To Data Science

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1 sharing(s) available for this course
Average Rating:

4.00


Anonymous shared this review at 3:27pm 4 November 2016
  • Professor: MENG, Helen Mei-Ling
  • Language: English
Rating:

4.00

Course Description
This course presents an introductory roadmap into the newly emerged and rapidly evolving field of data science, with the objective of introducing the problem-solving mindset in a data-intensive context. 
The course projects data science as a productive synthesis of its parent disciplines, including mathematics, statistics, computing, data mining, system science and data visualization, etc.  Such a productive synthesis is applicable across many fields to bring about scientific discovery through data-intensive, analytical methods.  This course aims to help navigate students in taking more advanced courses in its parent disciplines to build up their expertise in data science.  We cover topics including: 
History and impact of Data Science. 
Collecting Data: sources, types and categorization of data. 
Visualising Data: summary statistics, data display, data dictionaries, schema and graphical visualization. 
Analysing Data: pattern recognition, correlations and relationships, hypotheses testing, statistical significance. 
Investigating Data: data mining, machine learning, inference, meta-data, modeling, eliciting meaning and validation. 
Applicational contexts: Examples of useful applications from case studies. 
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Teaching Professor(s)

MENG, Helen Mei-Ling

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